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References
Ushakov, I.A., ed. (1994). Handbook of Reliability Engineering, Wiley, New York.
Bartholomew, David J., A.F. Forbes and S.I. Mc-Clean (1991). Statistical Techniques for Manpower Planning, 2nd ed., John Wiley, Chichester.
Bennison, Malcom and J. Casson (1984). The Manpower Planning Handbook. McGraw-Hill, London.
Gass, S.I. (1991). “Military Manpower Planning Models,” Computers and OR, 18 (1), 65–73.
Grinold, R.C. and K.T. Marshall, 1977. Manpower Planning Models. New York and Amsterdam: North-Holland.
Klingman, D. and N. Phillips (1984). “Topological and Computational Aspects of Preemptive Multi-criteria Military Personnel Assignment Problems,” Management Science, 30, 1362–1375.
Smith, A.R. and D.J. Bartholomew (1988). “Manpower Planning in the United Kingdom: An Historical Review,” Jl. Operational Research Society, 9, 235–248.
Vajda, Steven (1978). Mathematics of Manpower Planning, John Wiley, Chichester.
Basu, A., R. Lai, V. Srinivasan and R. Staelin (1985), “Salesforce Compensation Plans: An Agency Theoretic Perspective,” Marketing Science, 4, 267–291.
Bell, D.E., R.L. Keeney and J.D.C. Little (1975), “A Market Share Theorem,” Jl. Marketing Research, 12, 136–141.
Bultez, A. (1988), “Editorial for special issue on marketing and microeconomics,” International Jl Research in Marketing, 5, 221–224.
Eliashberg, J. and G.L. LiHen, eds. (1993), Handbooks In Operations Research and Management Science: Marketing, Elsevier, Amsterdam.
Green, P.E. and A. Krieger (1993), “Voice: An Analytical and Predictive Model for Measuring Customer Satisfaction,” Wharton School working paper, University of Pennsylvania, Philadelphia.
Guadagni P. and J.D.C. Little (1983), “A Logit Model of Brand Choice Calibrated on Scanner Data,” Marketing Science, 2, 203–238.
Kotler, P. (1971), Marketing Decision Making: A Model Building Approach, Holt, Rinehart and Winston, New York.
Lilien, G.L. and P. Kolter (1983), Marketing Decision Making: A Model Building Approach, Harper & Row, New York.
Lilien, G.L., P. Kotler, and K.S. Moorthy (1992), Marketing Models, Prentice-Hall, Englewood Cliffs, New Jersey.
Little, J.D.C. (1975), “BRANDAID: A Marketing Mix Model. Part I: Structure; Part II: Implementation,” Operations Research, 23, 628–673.
Little, J.D.C. et al (1994), Commentary on “Marketing Science’s Pilgrimage to the Ivory Tower,” by Hermann Simon. In G. Laurent, G.L. Lilien, and B. Pras, eds., Research Traditions in Marketing, 44–51, Kluwer Academic Publishers, Norwell, Massachusetts.
Parsons et al (1994), “Marketing Science, Econometrics, and Managerial Contributions,” Commentary on “Marketing Science’s Pilgrimage to the Ivory Tower,” by Hermann Simon. In G. Laurent, G.L. Lilien, and B. Pras, eds., Research Traditions in Marketing, 52–78, Kluwer Academic Publishers, Norwell, Massachusetts.
Rangaswamy, A. (1993), “Marketing Decision Models: From Linear Programs to Knowledge-based Systems.” In J. Eliashberg and G.L. Lilien, eds., Handbooks in Operations Research and Management Science: Marketing, 16, 733–771, Elsevier, Amsterdam.
Schmitz, J.D., G.D. Armstrong, and J.D.C. Little (1990), “Cover Story: Automated News Finding in Marketing,” Interfaces, 20 (6), 29–38.
Schultz, R.L. and A.A. Zoltners (1981), Marketing Decision Models, North Holland, New York.
Wind, Y. (1993), “Marketing Science at a Crossroad,” inaugural presentation of the Unilever Erasmus Visiting Professorship in Marketing at the Erasmus University, Rotterdam.
Wind, Y. and G.L. Lilien (1993), “Marketing Strategy Models,” In J. Eliashberg and G.L. Lilien, eds., Handbooks in Operations Research and Management Science: Marketing, 17, 773–826, Elsevier, Amsterdam.
Breiman, L. (1986). Probability and Stochastic Processes, With a View Toward Applications, Second Edition. The Scientific Press, Palo Alto, California.
Cinlar, E. (1975). Introduction to Stochastic Processes. Prentice-Hall, Englewood Cliffs, New Jersey.
Chung, K.L. (1967). Markov Chains with Stationary Transition Probabilities. Springer-Verlag, New York.
Feller, W. (1968). An Introduction to Probability Theory and Its Applications, Volume I, Third Edition. Wiley, New York.
Heyman, D.P. and M.J. Sobel (1982). Stochastic Models in Operations Research, Volume I: Stochastic Processes and Operating Characteristics. McGraw-Hill, New York.
Losifescu, M. (1980). Finite Markov Processes and Their Application. Wiley, New York.
Isaacson, D.L. and R.W. Madsen (1976). Markov Chains’. Theory and Applications. Wiley, New York.
Karlin, S. and H.M. Taylor (1975). A First Course in Stochastic Processes, Second Edition. Academic Press, New York.
Kemeny, J.G. and J.L. Snell (1976). Finite Markov Chains. Springer-Verlag, New York.
Kemeny, J.G., J.L. Snell, and A.W. Knapp (1966). Denumerable Markov Chains. Van Nostrand, Princeton.
Parzen, E. (1962). Stochastic Processes. Holden-Day, San Francisco.
Bertsekas, D.P. (1976). Dynamic Programming and Stochastic Control. Academic Press, New York.
Derman, C. (1970). Finite State Markovian Decision Processes. Academic Press, New York.
Howard, R. (1971). Dynamic Programming and Markov Processes. MIT Press, Cambridge, Massachusetts.
Ross, S.M. (1970). Applied Probability Models with Optimization Applications. Holden-Day, San Francisco.
White, D.J. (1969). Dynamic Programming. Holden-Day, San Francisco.
Billingsley, P. (1968). Convergence of Probability Measures. Wiley, New York.
Breiman, L. (1968). Probability. Addison-Wesley, Reading, Massachusetts.
Breiman, L. (1986). Probability and Stochastic Processes, With a View Toward Applications, Second Edition. The Scientific Press, Palo Alto, California.
Cassandras, C.G. (1993). Discrete Event Systems: Modeling and Performance Analysis. Irwin, Boston.
Chellappa, R. and A. Jain, eds. (1993). Markov Random Fields: Theory and Application. Academic Press, San Diego.
Qinlar, E. (1975). Introduction to Stochastic Processes. Prentice-Hall, Englewood Cliffs, New Jersey.
Chung, K.L. (1967). Markov Chains with Stationary Transition Probabilities. Springer-Verlag, New York.
Feller, W. (1968). An Introduction to Probability Theory and Its Applications, Volume I, Third Edition. Wiley, New York.
Feller, W. (1971). An Introduction to Probability Theory and Its Applications, Volume II, Second Edition. Wiley, New York.
Fox, B.L. (1990). “Generating Markov-Chain Transitions Quickly.” ORSA J. Comput. 2, 126– 135.
Glynn, P.W. (1989). “A GSMP Formalism for Discrete Event Systems.” Proc. IEEE 77, 14–23.
Glynn, P.W. (1990). “Diffusion Approximations.” In Handbooks in OR and MS, Volume 2, D.P. Heyman and M.J. Sobel (eds.). Elsevier Science Publishers, Amsterdam, 145–198.
Grassman, W.K. (1990). “Computational Methods in Probability.” In Handbooks in OR and MS, Volume 2, D.P. Heyman and M.J. Sobel (eds.). Elsevier Science Publishers, Amsterdam, 199– 254.
Gross, D. and D.R. Miller (1984). “The Randomization Technique as a Modelling Tool and Solution Procedure for Transient Markov Processes.” Oper. Res. 32, 343–361.
Heyman, D.P. and M.J. Sobel (1982). Stochastic Models in Operations Research, Volume I: Stochastic Processes and Operating Characteristics. McGraw-Hill, New York.
Hordijk, A., D.L. Iglehart, and R. Schassberger (1976). “Discrete-time methods for simulating continuous-time Markov chains.” Adv. Appl. Probab. 8, 772–778.
Howard, R.A. (1971). Dynamic Probabilistic Systems, Volume I: Markov Models. Wiley, New York.
Iosifescu, M. (1980). Finite Markov Processes and their Application. Wiley, New York.
Isaacson, D.L. and R.W. Madsen (1976). Markov Chains: Theory and Applications. Wiley, New York.
Karlin, S. and H.M. Taylor (1975). A First Course in Stochastic Processes, Second Edition. Academic Press, New York.
Karlin, S. and H.M. Taylor (1981). A Second Course in Stochastic Processes. Academic Press, New York.
Keilson, J. (1979). Markov Chain Models-Rarity and Exponentiality. Springer-Verlag, New York.
Kelly, F.P. (1979). Reversibility and Stochastic Networks. Wiley, New York.
Kemeny, J.G. and J.L. Snell (1976). Finite Markov Chains. Springer-Verlag, New York.
Kemeny, J.G., J.L. Snell, and A.W. Knapp (1966). Denumerable Markov Chains. Van Nostrand, Princeton.
Kindermann, R. and J.L. Snell (1980). Markov Random Fields and their Applications. American Mathematical Society, Providence, Rhode Island.
Maistrov, L.E. (1974). Probability Theory: A Historical Sketch. Academic Press, New York.
Neuts, M.F. (1981). Matrix-Geometric Solutions in Stochastic Models. The Johns Hopkins University Press, Baltimore.
Parzen, E. (1962). Stochastic Processes. Holden-Day, San Francisco.
Snell, J.L. (1988). Introduction to Probability. Random House, New York.
Whitt, W. (1980). “Continuity of Generalized Semi-Markov Processes.” Math. Opns. Res. 5, 494–501.
Whittle, P. (1986). Systems in Stochastic Equilibrium. Wiley, New York.
Ball, M.O. and U. Derigs (1983). “An Analysis of Alternate Strategies for Implementing Matching Algorithms,” Networks 13, 517–549.
Coffman, E.G., Jr. and R.L. Graham (1972). “Optimal Scheduling for Two Processor Systems,” Acta Inform. 1, 200–213.
Derigs, U. and A. Metz (1986). “On the Use of Optimal Fractional Matchings for Solving the (Integer) Matching Problem,” Computing, 36, 263–270.
Edmonds, Jl. (1965a). “Paths, Trees, and Flowers,” Canad. Jl Math., 17, 449–467.
Edmonds, Jl. (1965b). “Maximum Matching and a Polyhedron with (0,1) Vertices,” Jl. Res, Nat. Bur. Standards Sect. J3, 69B, 125–130.
Edmonds, Jl. and E.L. Johnson (1973). “Matching, Euler Tours and the Chinese Postman,” Math. Programming, 5, 88–124.
Even, S. and O. Kariv (1975). “An Algorithm for Maximum Matching in General Graphs,” 16th Annual Symposium on Foundations of Computer Science, IEEE Computer Society Press, New York, 100–112.
Gahl, Z., S. Micali and H. Gabow (1982). “Priority Queues with Variable Priority and an 0(EVlogV) Algorithm for finding a Maximal Weighted Matching in General Graphs,” 23rd Annual Symposium on Foundations of Computer Science, IEEE Computer Society Press, New York, 255–261.
Gabow, H.N. (1976). “An Efficient Implementation of Edmond’s Algorithm for Maximum Matching on Graphs,” Jl. Assoc. Comput. Mach., 23, 221–234.
Gondran, Michel and Michel Minoux (1984). Graphs and Algorithms. John Wiley, Chichester.
Jonker, R. and A. Volgenant (1986). “Improving the Hungarian Assignment Algorithm,” Opl Res. Lett., 5, 171–175.
Kuhn, H.W. (1955). “The Hungarian Method for the Assignment Problem,” Naval Res. Logist. Quart., 2, 83–97.
Kuhn, H.W. (1956). “Variants of the Hungarian Method for Assignment Problems,” Naval Res. Logist. Quart., 3, 253–258.
Kwan, Mei-Ko (1962). “Graphic Programming Using Odd and Even Points,” Chinese Math., 1, 273–277.
Lawler, E.L. (1976). Combinatorial Optimization, Networks and Matroids. Holt, Rinehart and Winston, New York.
Lovasz L. and M.D. Plummer (1986). Matching Theory. Annals of Discrete Mathematics, vol. 29, North-Holland, Amsterdam.
McHugh, James A. (1990). Algorithmic Graph Theory. Prentice-Hall, London.
Micali, S. and V.V. Vazirani (1980). “An Algorithm for Finding Maximum Matching in General Graphs,” 21st Annual Symposium on Foundations of Computer Science, IEEE Computer Society Press, New York, 17–27.
Wright, M.B. (1990). “Speeding Up the Hungarian Algorithm,” Computers Opns Res., 11, 95–96.
Apple, J.M. and H.M. Rickles (1987). “Material Handling and Storage,” Production Handbook, John A. White, ed., Wiley, New York.
Barger, B.F. (1987). “Materials Handling Equipment,” Production Handbook, John A. White, ed., Wiley, New York.
Egbelu, P.J. (1993). “Positioning of Automated Guided Vehicles in a Loop Layout to Improve Response Time,” European Journal of Operational Research, 71, 32–44.
Han, M.-H. and L.F. McGinnis (1989). “Control of Material Handling Transporter in Automated Manufacturing,” HE Transactions, 21, 184–190,
Hausman, W.H., L.B. Schwarz, and S.C. Graves (1976). “Optimal Assignment in Automatic Warehousing Systems,” Management Science, 22, 629– 638.
Kim, K.H. and J.M.A. Tanchoco (1993), “Economical Design of Material Flow Paths,” International Journal of Production Research, 31, 1387–1407.
Kouvelis, P. and H.L. Lee (1990). “The Material Handling Systems Design of Integrated Manufacturing System,” Annals Operations Research, 26, 379–396.
Maxwell, W.L., and J.A. Muckstadt (1982). “Design of Automated Guided Vehicle Systems,” HE Transactions, 14, 114–124.
Roll, Y., M.J. Rosenblatt, and D. Kadosh (1989). “Determining the Size of a Warehouse Container,” International Journal of Production Research, 27, 1693–1704.
Rosaler, R.C. and J.O. Rice, eds. (1983). Standard Handbook of Plant Engineering, McGraw Hill, New York.
Rosenblatt, M.J., Y. Roll, and V. Zyser (1993). “A Combined Optimization and Simulation Approach to Designing Automated Storage/Retrieval Systems,” HE Transactions, 25, 40–50.
Tompkins, J.A. and J.A. White (1984). Facilities Planning, John Wiley, New York.
White, J.A (1982). “Factory of Future Will Need Bridges Between Its Islands of Automation,” Industrial Engineering, 14, 4, 60–68.
Lay, D.C. (1993). Linear Algebra and its Applications, Addison-Wesley, Reading, Massachusetts.
Strang, G. (1988). Linear Algebra and its Applications, 3rd. ed., Harcourt Brace Jovanovich, Orlando, Florida.
Abate, J., Choudhury, G.L. and Whitt, W. (1994), “Asymptotics for steady-state tail probabilities in structured Markov queueing models,” Stochastic Models, 10, 99–143.
Asmussen, S. and Perry, D. (1992), “On cycle maxima, first passage problems and extreme value theory for queues,” Stochastic Models, 8, 421–458.
Asmussen, S. and Ramaswami, V. (1990), “Probabilistic interpretation of some duality results for the matrix paradigms in queueing theory,” Stochastic Models, 6, 715–733.
Falkenberg, E. (1994), “On the asymptotic behavior of the stationary distribution of Markov chains of M/G/l-type,” Stochastic Models, 10, 75–97.
Gail, H.R., Hantler, S.L. and Taylor, B.A. (1994), “Solutions of the basic matrix equations for the M/G/1 and G/M/1 Markov chains,” Stochastic Models, 10, 1–43.
Latouche, G. (1985), “An exponential semi-Markov Process, with applications to queueing theory,” Stochastic Models, 1, 137–169.
Latouche, G. (1993), “Algorithms for infinite Markov chains with repeating columns,” in Linear Algebra, Markov Chains and Queueing Models, Meyer, C.D. and Plemmons, R.J., eds., Springer Verlag, New York, 231–265.
Latouche, G. and Ramaswami, V. (1993), “A logarithmic reduction algorithm for quasi-birth-and- death processes,” Jl Appl. Prob., 30, 650–674.
Lucantoni, D.M. (1991), “New results on the single server queue with a batch Markovian arrival process,” Stochastic Models, 7, 1–46.
Lucantoni, D.M. (1993), “The BMAP/G/1 queue: a tutorial,” in Models and Techniques for Performance Evaluation of Computer and Communications Systems, L. Donatiello and R. Nelson, eds., Springer-Verlag, New York.
Lucantoni, D.M., Meier-Hellstern, K.S., and Neuts, M.F. (1990), “A single server queue with server vacations and a class of non-renewal arrival processes,” Adv. Appl. Prob., 22, 676–705.
Neuts, M.F. (1979), “A versatile Markovian point process,” Jl Appl. Prob., 16, 764–779.
Neuts, M.F. (1981), Matrix-Geometric Solutions in Stochastic Models: An Algorithmic Approach, The Johns Hopkins University Press, Baltimore. Reprinted by Dover Publications, 1994.
Neuts, M.F. (1986), “The caudal characteristic curve of queues,” Adv. Appl. Prob., 18, 221–254.
Neuts, M.F. (1986), “Generalizations of the Pollaczek-Khinchin integral equation in the theory of queues,” Adv. Appl. Prob., 18, 952–990.
Neuts, M.F. (1989), Structured Stochastic Matrices of M/G/1 Type and Their Applications, Marcel Dekker, New York.
Neuts, M.F. (1992), “Models Based on the Markovian Arrival Process,” IEEE Trans. Communications, Special Issue on Teletraffic, E75–B, 1255– 1265.
Neuts, M.F. and Narayana, S. (1992), “The first two moment matrices of the counts for the Markovian arrival process,” Stochastic Models, 8, 459–477.
Nisuts, M.F. and Takahashi, Y. (1981), “Asymptotic behavior of the stationary distributions in the GI/PH/c queue with heterogeneous servers,” Z. f. Wahrscheinlichkeitstheorie, 57, 441–452.
Ramaswami, V. (1988), “A stable recursion for the steady state vector in Markov chains of M/G/ 1 type,” Stochastic Models, 4, 183–188.
Ramaswami, V. (1990), “A duality theorem for the matrix paradigms in queueing theory,” Stochastic Models, 6, 151–161.
Ramaswami, V. (1990), “From the matrix-geometric to the matrix-exponential,” Queueing Systems, 6, 229–260.
Sengupta, B. (1989), “Markov processes whose steady state distribution is matrix-exponential with an application to the GI/PH/1 queue,” Adv. Appl. Prob., 21, 159–180.
Schellhaas, H. (1990), “On Ramaswami’s algorithm for the computation of the steady state vector in Markov chains of M/G/l-type,” Stochastic Models, 6, 541–550.
Tweedie, R.L. (1982). “Operator-geometric stationary distributions for Markov chains with application to queueing models,” Adv. Appl. Prob., 14, 368–391.
American College of Physicians (1994). “Guidelines for Medical Treatment for Stroke Prevention,” Annals Internal Medicine, 121, 54–55.
Bailey, N.T.J. (1967). The Mathematical Approach to Biology and Medicine, John Wiley, London.
Bailey, N.T. (1991). “The Use of Operational Modeling of HIV/AIDS in a Systems Approach to Public Health Decision Making,” Mathematical Biosciences, 107, 413–430.
Barnoon, S. and Wolfe, H. (1972). Measuring the Effectiveness of Medical Decisions: An Operations Research Approach, Clarke C. Thomas, Springfield, Illinois.
Bergeron, B.P. and Greenes, R.A. (1989). “Clinical Skill-building Simulations in Cardiology: Heart-lab and Eklab,” Computer Methods and Programs in Biomedicine, 30 (2–3), 111–126.
Boylan, R.D. (1991). “A Note on Epidemics in Heterogeneous Populations,” Mathematical Biosciences, 105, 133–137.
Dolan, J.G. and Bordley, D.R. (1991). “Should Concern Over Gastric Cancer Influence the Choice of Diagnostic Tests in Patients with Acute Upper Gastrointestinal Bleeding?” Proceedings of the Second International Symposium on the Analytic Hierarchy Process, Pittsburgh, Pennsylvania, 391–404.
Emmons, H. (1968). “The Optimal Use of Radioactive Pharmaceuticals in Medical Diagnosis,” Doctoral Dissertation, The Johns Hopkins University, Baltimore.
Esogbue, A.C., Aggarwal, V. and Kaujalgi, V. (1976). “Computer-Aided Anesthesia Administration,” Int. JL Biomedical Computing, 7, 271–288.
Flagle, C.D. (1967). “A Decision Theoretical Comparison of Three Procedures of Screening for a Single Disease,” Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, University of California Press, Berkeley.
Garfield, D.A., Rapp, C., and Evens, M. (1992). “Natural Language Processing in Psychiatry: Artificial Intelligence Technology and Psychopathology,” JL Nervous and Mental Disease, 180, 227–237.
Gorry, G.A. (1968). “Strategies for Computer Aided Diagnosis,” Mathematical Biosciences, 2, 293–318.
Gorry, G.A. and Barnett, G.O. (1968). “Experience with a Model of Sequential Diagnosis,” Computers in Biomedical Research, 1, 490–507.
Gustafson, D.H., Taylor, J.O., Thompson, S. and Chesney, P. (1993). “Assessing the Needs of Breast Cancer Patients and Their Families,” Quality Management in Health Care, 2 (1), 6–17.
Harris, C.M. and Rattner, E. (1992). “Forecasting the Extent of the HIV/AIDS Epidemic,” Socio-Econ. Plann. Sci, 26 (3), 149–168.
Kaplan, E.H. (1991). “Mean-max Bounds for Worst Case Endemic Mixing Models,” Matm. Bioscience, 105, 97–109.
Kaplan, E.H. and Brandeau, M.L., eds. (1994). Modeling the AIDS Epidemic: Planning, Policy, and Prediction, Raven, New York.
Ledley, R.S. and Lusted, L.B. (1959). “Reasoning Foundation of Medical Diagnosis,” Science, 130, 9–29.
Lonwe, B. and Heiji, A. (1993). “Computer-assisted Instruction in Emergency Ophthalmological Care,” Acta Ophthalmologica, 71, 289–295.
Mangasarian, O.L., Setiono, R., and Wolberg, W.H. (1990). “Pattern Recognition via Linear Programming: Theory and Application to Medical Diagnosis,” in Large-Scale Numerical Optimization, Thomas F. Coleman and Yuying Li, eds., SIAM, Philadelphia, 22–30.
Mangasarian, O.L., Street, W.N., and Wolberg, W.H. (1994). “Breast Cancer Diagnosis and Prognosis via Linear Programming,” University of Wisconsin Computer Sciences Mathematical Programming Technical Report 94–10, Madison.
Morrill, S.M., Lane, R.G., Wong, J.A. and Rosen, I.I. (1991). “Dose-volume Considerations with Linear Programming Optimization,” Medical Physics, 18, 1201–1210.
Reiser, S.J. (1993). “The Era of the Patients,” JL Amer. Med. Assn., 269, 1012–1017.
Roa, L. and Gomez-Cia, T. (1994). “A Burn Patient Resuscitation Therapy Designed by Computer Similation,” Yearbook of Medical Informatics, Schattauer Verlagsgesellschaft, Stuttgart.
Rosen, I.I., Lane, R.G., Morrill, S.M., and Belli, J.A. (1991). “Treatment Plan Optimization Using Linear Programming,” Medical Physics, 18, 141– 152.
Saaty, T.L., (1981). “The Analytic Hierarchy Process and Health Care Problems,” Proceedings of International Conference on Systems Science in Health Care, Montreal, 1980.
Shortliffe, Edward H. (1976). Computer-Based Medical Consultations MYCIN, American Elsevier, New York.
Szolovits, P. and Pauker, S.C. (1978). “Categorical and Probabilistic Reasoning in Medical Diagnosis,” Artificial Intelligence, 11, 115–144.
Tanner, T.B. and Gitlow, S. (1991). “A Computer Simulation of Cardiac Emergencies,” Proceedings Annual Symposium on Computer Applications in Medical Care.
Warner, H.R. (1979). Computer Assisted Medical Decision Making, Academic Press, New York.
Weed, L.L. (1986). “Knowledge Coupling Medical Education and Patient Care,” Crit. Ref. Med. Infomatics, 1, 55–79.
Wolberg, W. H. and O. L. Mangasarian (1993). “Computer-designed Expert Systems for Breast Cytology Diagnosis,” Analytical and Quantitative Cytology and Histology, 15, 67–74.
Blanning, R.W. (1974). “The Sources and Uses of Sensitivity Information,” Interfaces, 4, 32–38.
Blanning, R.W. (1975a). “Response to Michel Kleijnen, and Permut,” Interfaces, 5, 24–25.
Blanning, R.W. (1975b). “The Construction and Implementation of Metamodels,” Simulation, 24, 177–184.
Friedman, L.W. (1986). “Exploring Relationships in Multiple-Response Simulation Experiments,” Omega, 14, 498–501.
Friedman, L.W. (1987). “Design and Analysis of Multivariate Response Simulations, The State of the Art,” Behavioral Science, 32, 138–148.
Friedman, L.W. (1989). “The Multivariate Meta-model in Queueing System Simulation,” Computers & Industrial Engineering, 16, 329–337.
Friedman, L.W. and H.H. Friedman (1984). “Statistical Considerations in Simulation, The State of the Art,” Jl. Statistical Computation and Simulation, 19, 237–263.
Friedman, L.W. and H.H. Friedman (1985a). “MULTIVREG, A SAS Program,” Jl Marketing Research (Computer Abstracts), 22, 216–217.
Friedman, L.W. and H.H. Friedman (1985b). “Validating the Simulation Metamodel, Some Practical Approaches,” Simulation, 25, 144–146.
Friedman, L.W. and L Pressman (1988). “The Metamodel in Simulation Analysis, Can It Be Trusted?” Jl. Operational Research Society, 39, 939–948.
Geoffrion, A.M. (1976). “The Purpose of Mathematical Programming is Insight, not Numbers,” Interfaces, 7 (1), 81–92.
Kleijnen, J.P.C. (1975). “A Comment on Blanning’s ‘Metamodel for Sensitivity Analysis’: The Regression Metamodel in Simulation,” Interfaces, 5, 21– 23.
Kleijnen, J.P.C. (1979). “Regression Metamodels for Generalizing Simulation Results,” IEEE Transactions Systems, Man, and Cybernetics, SMC-9, 93–96.
Kleijnen, J.P.C (1981). “Regression Analysis for Simulation Practitioners,” Jl. Operational Research Society, 32, 35–43.
Kleijnen, J.P.C. (1982). “Regression Metamodel Summarization of Model Behavior.” In Encyclopedia of Systems and Control ( M.G. Singh, ed.). New York, Pergamon Press.
Kleijnen, J.P.C., A.J. Van den Burg, and R. Th. van der Ham (1979). “Generalization of Simulation Results,” European Jl. Operational Research, 3, 50–64.
Lawless, R.W., L.H. Williams, and C.G. Richie (1971). “A Sensitivity Analysis Tool for Simulation with Application to Disaster Planning,” Simulation, 17, 217–223.
Morrison, D.F. (1976). Multivariate Statistical Methods, McGraw-Hill, New York.
Rose, M.R. and R. Harmsen (1978). “Using Sensitivity Analysis to Simplify Ecosystem Models: A Case Study,” Simulation, 31, 15–26.
Bankes, S. (1993). “Exploratory Modeling for Policy Analysis.” Opns. Res. 41, 435–449.
Blackett, P.M.S. (1962). Studies of War. Hill and Wang, New York.
Blue Ribbon Defense Panel (1970). Report to the President and the Secretary of Defense on the Department of Defense. U.S. Govt. Printing Office, Washington, D.C.
Brothers, L.A. (1954). “Operations Analysis in the United States Air Force.” Opns. Res. 2, 1–16.
Bureau of the Budget (1965). Planning-Programming-Budgeting, Bulletin 65–5.
Davis, P.K. and D. Blumenthal (1991). “The Base of Sand Problem: A White Paper on the State of Military Combat Modeling,” N-3148-OSD/ DARPA, RAND, Santa Monica, Calif.
Davis, P.K. and R. Hillestad (eds.) (1992). Proceedings of Conference on Variable-Resolution Modeling, Washington, D.C., CF-103-DARPA, RAND, Santa Monica, Calif.
Defense Science Board (1993). Impact of Advanced Distributed Simulation on Readiness, Training and Prototyping. DDR & E, Washington, D.C.
DoD, Office of the Inspector General (1993). Duplication j Proliferation of Weapon Systems’ Modeling and Simulation Efforts Within DOD, Arlington, Virginia.
Government Accounting Office (1980). Models, Data, And War: A Critique of the Foundation For Defense Analyses. PAD-80-21, Comptroller General, Washington, D.C.
Hitch, C.J. (1953). “Sub-optimization in Operations Problems.” Opns. Res. 1, 87–99.
Hitch, C.J. (1955). “An Appreciation of Systems Analysis.” Opns. Res. 3, 466–481.
Hitch, C.J. (1960). “Uncertainties in Operations Research.” Opns. Res. 4, 437–445.
Hitch, C.J. and R.N. McKean (1960). The Economics of Defense in the Nuclear Age. R-348, RAND, Santa Monica, Calif.
Hughes, W.P. Jr. (ed.) (1989). Military Modeling ( 2nd ed. ). JVLORS, Alexandria, VA.
Miser, H.J. and E.S. Quade (eds.) (1988). Hand-hook of Systems Analysis: Craft Issues and Procedural Choices. North-Holland, New York.
Morse, P.M. and G.E. Kimball (1946). Methods of Operations Research. OEG Rpt. 54, Office of the Chief of Naval Operations, Navy Dept., Washington, D.C.
Quade, E.S. (ed.) (1954). Analysis for Military Decisions. R-387-PR, RAND, Santa Monica, Calif.
Quade, E.S. and W.I. Boucher (eds.) (1968). Systems Analysis and Policy Planning: Applications in Defense. R-439-PR, RAND, Santa Monica, Calif.
Solandt, O. (1955). “Observation, Experiment, and Measurement in Operations Research.” Opns. Res. 3, 1–14.
Tidman, K.R. (1984). The Operations Evaluation Group, A History of Naval Operations Analysis. Naval Institute Press, Annapolis, Maryland.
Vandiver, E.B. et al. (1992). “Lessons are Learned from Desert Shield/Desert Storm.” PHALANX. 25, 1, 6–87.
Williams, M.K. and J. Sikora (1991). “SIMVAL Minisymposium - A Report,” Phalanx, Bulletin of the Military Operations Research Society, 24, 2.
Ritchie, A.E., ed. (1992). Simulation Validation Workshop Proceedings (SIMVAL II), Military Operations Research Society, Alexandria, Virginia.
Gass, S.I. (1993). “Model Accreditation: A Rationale and Process for Determining a Numerical Rating,” European Jl. Operational Research, 66, 2, 250–258.
Fossett, C., Harrison, D., Weintrob, H., and Gass, S.I. (1991). “An Assessment Procedure for Simulations Models: A Case Study,” Operations Research, 39, 710–723.
Gass, S.I. (1977a.) “Evaluation of Complex Models,” Computers and Operations Research, 4, 27–35.
Gass, S.I. (1977b). “A Procedure for the Evaluation of Complex Models,” Proceedings of the First International Conference in Mathematical Modeling, 247–258.
Gass, S.I., ed. (1980). Validation and Assessment Issues of Energy Models, National Bureau of Standards Special Publication 569, U.S. GPO Stock No. 033-003-02155-5, Washington, D.C.
Gass, S.L, ed. (1981). Validation and Assessment of Energy Models, National Bureau of Standards Special Publication 616. U.S. Government Printing Office, Washington, D.C.
Gass, S.L (1983). “Decision-Aiding Models: Validation, Assessment, and Related Issues for Policy Analysis,” Operations Research, 31, 603–631.
Gass, S.L (1987). “Managing the Modeling Process: A Personal Perspective,” European Jl. Operational Research, 31, 1–8.
Wood, D.O. (1981). “Energy Model Evaluation and Analysis: Current Practice,” in S.L Gass, ed., Validation and Assessment of Energy Models, National Bureau of Standards Special Publication 616. U.S. Government Printing Office, Washington, D.C.
U.S. GAO (1979). Guidelines for Model Evaluation, GAO/PAD-79-17, Washington, D.C.
Banerjee, S. and A. Basu (1993), “Model Type Selection in an Integrated DSS Environment,” Decision Support Systems, 75–89.
Basu, A. and R. Blanning (1994), “Metagraphs: A Tool for Modeling Decision Support Systems,” Management Science, 40, 1579–1600.
Bhargava, H.K. and R. Krishnan (1993), “Computer-aided Model Construction,” Decision Support Systems, 9, 91–111.
Bhargava, H.K., S. Kimbrough and R. Krishnan (1991), “Unique Names Violations: A Problem for Model Integration,” ORS A Jl. Computing, 3, 107–120.
Bhargava, H.K. and S.O. Kimbrough (1993), “Model Management: An Embedded Languages Approach,” Decision Support Systems, 10, 277– 300.
Binbasioglu, M. and M. Jarke (1986), “Domain Specific DSS Tools for Knowledge-based Model Building,” Decision Support Systems, 2, 213– 223.
Bischop, J. and A. Meeraus (1982), “On the Development of a General Algebraic Modeling System in a Strategic Planning Environment,” Mathematical Programming Study, 20, 1–29.
Blanning, R. (1982), “A Relational Framework for Model Management,” DSS-S2 Transaction, 16–28.
Blanning, R. (1993), Decision Support Systems: Special Issue on Model Management, in Blanning, R., C. Holsapple, A. Whinston, eds., Elsevier.
Bonczek, R., C. Holsapple, and A. Whinston (1978), “Mathematical Programming within the Context of a Generalized Data Base Management System,” R.A.I.R.O. Recherche Operationalle, 12, 117–139.
Choobineh, J. (1991), “SQLMP: A data sublanguage for the representation and formulation of linear mathematical models,” ORSA Jl. Computing, 3, 358–375.
Dhar, V. and M. Jarke (1993), “On Modeling Processes,” Decision Support Systems, 9, 39–49.
Dolk, D.K. and J.E. Kotteman (1993), “Model integration and a theory of models,” Decision Support Systems, 9, 51–63.
Fourer, R. (1983), “Modeling Languages versus Matrix Generators for Linear Programming,” ACM Transactions on Mathematical Software, 2, 143–183.
Fourer, R., D. Gay, and B.W. Kernighan, “A Mathematical Programming Language,” Management Science, 36, 519–554.
Geoffrion, A.M. (1987), “An Introduction to Structured Modeling,” Management Science, 33, 547–588.
Geoffrion, A.M. (1989), “Reusing Structured Models via Model Integration,” J. F. Nunamaker, ed., Proceedings Twenty-Second Annual Hawaii International Conference on the System Sciences, III, 601–611, IEEE Press, Los Alamitos, California.
Geoffrion, A.M. (1992a), “The SML Language for Structured Modeling: Levels 1 and 2,” Operations Research, 40, 38–57.
Geoffrion, A.M. (1992b), “The SML Language for Structured Modeling: Levels 3 and 4,” Operations Research, 40, 58–75.
Gray, P. (1987), Guide to IFPS, McGraw-Hill, New York.
Greenberg, H.J. (1987), “ANALYZE: A computer-assisted analysis system for linear programming models,” Operations Research Letters, 6, 249– 255
Greenberg, H.J. (1992), “MODLER: Modeling by object-driven linear elemental relations,” Annals Operations Research, 38, 239–280.
Hoare, C.A.R. (1992), Communicating Sequential Processes, Prentice-Hall, Englewood Cliffs, New Jersey.
Jones, C.V. (1991), “An Introduction to Graph Based Modeling Systems, Part II: Graph Grammars and the Implementation,” ORSA Jl. Computing, 3, 180–206.
Kimbrough, S. and J. Oliver (1994), “On Automating Candle Lighting Analysis: Insight from Search with Genetic Algorithms and Approximate Models,” J. F. Nunamaker, ed., Proceedings Twenty-Seventh Hawaii International Conference on the System Sciences, III, 536–544, IEEE Press, Los Alamitos, California.
Krishnan, R. (1993), “Model Management: Survey, Future Research Directions and a Bibliography,” ORSA CSTS Newsletter, 14, 1.
Krishnan, R. Piela, and A. Westerberg (1993), “Reusing Mathematical Models in ASCEND,” in Advances in Decision Support Systems, C. Holsapple and A. Whinston, eds., 275–294, Springer-Verlag, Munich.
Krishnan, R., X. Li, and D. Steier (1992), “Development of a Knowledge-based Model Formulation System,” Communications ACM, 35, 138– 146.
Krishnan, R. (1990), “A Logic Modeling Language for Model Construction,” Decision Support Systems, 6, 123–152.
Liang, T.P. and B.R. Konsynski (1993), “Modeling by Analogy: Use of Analogical Reasoning in Model Management Systems,” Decision Support Systems, 9, 113–125.
Ma, P.-C., F. Murphy, and E. Stohr (1989), “A Graphics Interface for Linear Programming,” Communications ACM, 32, 996–1012.
Mannino, M.V., B.S. Greenberg, and S. N. Hong (1990), “Model Libraries: Knowledge Representation and Reasoning,” ORSA Jl. Computing, 2, 287–301.
Mills, H., R. Linger and A. Hevner (1986), Principles of Information Systems Analysis and Design, Academic Press, Orlando.
Muhanna, W. (1992), “On the Organization of Large Shared of Model Bases”, Annals Operations Research, 38, 359–396.
Orlikowski, W. and V. Dhar (1986), “Imposing Structure on Linear Programming Problems: An Empirical Investigation of Expert and Vice Modelers,” Proceedings National Conference on Artificial Intelligence, Philadelphia.
Piela, R. McKelvey, and A. Westerberg (1992), “An Introduction to ASCEND: Its Language and Interactive Environment,” in J.F. Nunamaker Jr., ed., Proceedings Twenty-Fifth Annual Hawaii International Conference on System Sciences, Vol. Ill, 449–461, IEEE Press, Los Alamitos, California.
Raghunathan, S., R. Krishnan and J. May (1994), “MODFORM: A Knowledge Tool to Support the Modeling Process,” Information Systems Research, 4, 331–358.
Shetty, B. (1993), Annals of Operations Research: Special Issue on Model Management, Shetty, B., ed., J.C. Baltzer Scientific Publishing, Amsterdam.
Sprague, R.H. and H.J. Watson (1975), “Model Management in MIS,” Proceedings Seventeenth National AIDS Conference, 213–215.
Stohr, E. and B. Konsynski (1992), Information Systems and Decision Processes, IEEE Press, Los Altimos, California.
Will, H.J. “Model Management Systems” in Information Systems and Organization Structure, Edwin Grochia and Norbert Szyperski, eds., 468– 482, Walter de Gruyter, Berlin.
Asmussen, S., R.Y. Rubinstein, and C.–L. Wang (1994). “Regenerative rare events simulation via likelihood ratios,” JL Applied Probability, 31, 797–815.
Bratley, P., B. L. Fox and L.E. Schräge (1983). A Guide to Simulation, Springer-Verlag, New York.
Bucklew, J.A., P. Ney, and J.S. Sadowsky (1991). “Monte Carlo simulation and large deviations theory for uniformly recurrent Markov chains,” JL Applied Probability, 27, 44–59.
Donohue, J.M., E.G. Houck, and R.H. Myers (1992). “Simulation designs for quadratic response surface models in the presence of model misspecification,” Management Science, 38, 1765– 1791.
Heidelberger, P. (1993). “Fast simulation of rare events in queueing and reliability models,” Manuscript, IBM Research Center, Yorktown Heights, New York.
Glasserman, P. and D.D. Yao (1992). “Some guidelines and guarantees for common random numbers,” Management Science, 38, 884–908.
Glynn, P.W. and D.L. Iglehart (1988). “Simulation method for queues: an overview,” Queueing Systems, 3, 221–256.
Kleijnen, J.P.C. (1974). Statistical Techniques in Simulation, Part I, Marcel Dekker, New York.
Kleijnen, J.P.C. and W. Van Groenendaal (1992). Simulation: a Statistical Perspective, John Wiley, Chichester, UK.
Kriman, V. and R. Rubinstein (1993). “The complexity of Monte Carlo estimators with applications to rare events,” Manuscript, Technion, Haifa, Israel.
Lavenberg, S.S., T.L. Moeller and P.D. Welch (1982). “Statistical results on control variables with application to queueing network simulation,” Operations Research, 30, 182–202.
Rubinstein, R.Y. and R. Marcus (1985). “Efficiency of multivariate control variates in Monte Carlo simulation,” Operations Research, 33, 661–667.
Rubinstein, R.Y., G. Samorodnitsky, and M. Shaked (1985). “Antithetic variates, multivariate dependence and simulation of complex stochastic systems,” Management Science, 31, 66–77.
Rubinstein, R.Y. and A. Shapiro (1993). Discrete Event Systems: Sensitivity Analysis and Stochastic Optimization via the Score Function Method, John Wiley, New York.
Schruben, L.W. and B.H. Margolin (1978). “Pseudorandom number assignment in statistically designed simulation and distribution sampling experiments,” JL American Statistical Association, 73, 504–525.
Wilson, J.R. (1984). “Variance reduction techniques for digital simulation,” American JL Mathematical Management Science, 4, 277–312.
Debreu, G. (1960). “Topological Methods in Cardinal Utility Theory,” in Mathematical Methods in the Social Sciences. Stanford University Press, Stanford, California, 16–26.
Dyer, J.S. and R.K. Sarin (1979). “Measurable Multiattribute Value Functions,” Operations Research, 27, 810–822.
Farquhar, P.H. (1977). “A Survey of Multiattribute Utility Theory and Applications,” TIMS Stud. Management Science, 6, 59–89.
Fishburn, P.C. (1964). Decision and Value Theory. Wiley, New York.
Fishburn, P.C. (1965a). “Independence in Utility Theory with Whole Product Sets,” Operations Research, 13, 28–45.
Fishburn, P.C. (1965b). “Utility Theory,” Management Science, 14, 335–378.
Gorman, W.M. (1968). “Symposium on Aggregation: The Structure of Utility Functions,” Rev. Econ. Stud., 35, 367–390.
Keeney, R.L. (1969). Multidimensional Utility Functions: Theory, Assessment, and Applications. Technical Report No. 43, Operations Research Center, M.I.T., Cambridge, Massachusetts.
Keeney, R.L. and H. Raiffa (1976). Decisions with Multiple Objectives: Preferences and Value Tradeoffs. Wiley, New York.
Luce, R.D and J.W. Tukey (1964). “Simultaneous Conjoint Measurement: A New Type of Fundamental Measurement,” J. Math Psychol., 1, 1–27.
Luce, R.D., R.R. Bush and E. Galantor (1965). Handbook of Mathematical Psychology, Vol. 3. Wiley, New York.
Sarin, R.K. (1975). “Interactive Procedures for Evaluation of Multi-Attributed Alternatives.” Working Paper 232, Western Management Science Institute, University of California, Los Angeles.
von Neumann, J. and O. Morgenstern (1947). Theory of Games and Economic Behavior, Princeton University Press, New Jersey.
Edwards, W. and D. von Winterfeldt (1986). Decision Analysis and Behavioral Research. Cambridge University Press, Cambridge, England.
Ahuja, R.K., T.L. Magnanti, and J.B. Orlin (1993), Network Flows: Theory, Algorithms, and Applications, Prentice Hall, New Jersey.
Ali, A., R. Helgason., J. Kennington, and H. Lall (1980), “Computational Comparison Among Three Multicommodity Network Flow Algorithms,” Operations Research, 28, 995–1000.
Ali, A., D. Barnett, K. Farhangian, J. Kennington, B. McCarl, B. Patty, B. Shetty, and P. Wong (1984), “Multicommodity Network Flow Problems: Applications and Computations,” HE Transactions, 16, 127–134.
Assad, A.A. (1978), “Multicommodity Network Flows - A Survey,” Networks, 8, 37–91.
Barnhart, C. (1993), “Dual Ascent Methods for Large-Scale Multicommodity Flow Problems,” Naval Research Logistics, 40, 305–324.
Bellmore, M., G. Bennington, and S. Lubore (1971), “A Multivehicle Tanker Scheduling Problem,” Trans, Sci., 5, 36–47.
Chen, R. and R. Meyer (1988), “Parallel Optimization for Traffic Assignment,” Math. Programming, 42, 347–345.
S. Clark and J. Surkis (1968), “An Operations Research Approach to Racial Desegregation of School Systems,” Socio-Econ. Plan. Sci., 1, 259– 272.
Evans, J. (1978), “The Simplex Method for Integral Multicommodity Networks,” Naval Research Logistics, 25, 31–38.
Evans, J. and J. Jarvis (1978), “Network Topology and Integral Multicommodity Flow Problems,” Networks, 8, 107–120.
Farvolden, J.M. and W.B. Powell (1990), “A Primal Partitioning Solution for Multicommodity Network Flow Problems,” Working Paper 90–04, Department of Industrial Engineering, University of Toronto, Toronto, Canada.
Farvolden, J.M., W.B. Powell, and I.J. Lustig (1993), “A Primal Partitioning Solution for the Arc-Chain Formulation of a Multicommodity Network Flow Problem,” Operations Research, 41, 669–693 (1993).
Gersht, A. and A. Shulman (1987), “A New Algorithm for the Solution of the Minimum Cost Multicommodity Flow Problem,” Proceedings of the IEEE Conference on Decision and Control, 26, 748–758.
Graves, G.W. and R.D. McBride (1976), “The Factorization Approach to Large Scale Linear Programming,” Math. Programming, 10, 91– 110.
Grigoriadis, M.D. and W.W. White (1972), “A Partitioning Algorithm for the Multi-commodity Network Flow Problem,” Math. Programming, 3, 157–177.
Hartman, J.K. and L.S. Lasdon (1972), “A Generalized Upper Bounding Algorithm for Multicommodity Network Flow Problems,” Networks, 1, 331–354.
Held, M., P. Wolfe, and H. Crowder (1974), “Validation of Subgradient Optimization,” Math. Programming, 6, 62–88.
Kennington, J. and M. Shalaby (1977), “An Effective Subgradient Procedure for Minimal Cost Multicommodity Flow Problems,” Management Science, 23, 994–1004.
Kennington, J.L. (1978), “A Survey of Linear Cost Multicommodity Network Flows,” Opera tions Research, 26, 209–236.
Kennington, J.L. and R. Helgason (1980), Al gorithms for Network Programming, John Wiley Inc., New York.
LeBlanc, L.J. (1973), “Mathematical Program ming Algorithms for Large Scale Network Equi librium and Network Design Problems,” Unpublished Dissertation, Industrial Engineer ing and Management Sciences Department Northwestern University.
Naniwada, M. (1969), “Multicommodity Flows in a Communications Network,” Electronics and Communications in Japan, 52-A, 34–41.
Pilar, M.C. and S.A. Zenios (1990), “Parallel Decomposition of Multicommodity Network Flows Using Smooth Penalty Functions,” Technical Report 90-12-06, Department of Decision Sciences, Wharton School, University of Pennsylvania, Philadelphia.
Potts, R.B. and R.M. Oliver (1972), Flows in Transportation Networks, Academic Press, New York.
Shetty, B. and R. Muthukrishnan (1990), “A Parallel Projection for the Multicommodity Network Model,” Jl. Operational Research, 41, 837–842.
Swoveland, C. (1971), “Decomposition Algorithms for the Multi-Commodity Distribution Problem,” Working Paper, No. 184, Western Management Science Institute, University of California, Los Angeles.
Benayoun, R., J. de Montgolfier, J. Tergny, and O. Larichev (1971). “Linear Programming with Multiple Objective Functions: Step Method (STEM),” Mathematical Programming 1, 366–375.
Chankong, V. and Y.Y. Haimes (1978). “The Interactive Surrogate Worth Trade-off (ISWT) Method for Multiobjective Decision Making,” in S. Zionts, ed., Multiple Criteria Problem Solving, Lecture Notes in Economics and Mathematical Systems 155, 42–67.
Climaco, J.C.N, and C.H. Antunes (1987). “TRIMAP - An Interactive Tricriteria Linear Programming Package,” Foundations Control Engineering 12 (3), 101–120.
Franz, L.S. and S.M. Lee (1981). “A Goal Programming Based Interactive Decision Support System,” Lecture Notes in Economics and Mathematical Systems 190, 110–115.
Gabbani, D. and M. Magazine (1986). “An Interactive Heuristic Approach for Multi-Objective Integer–Programming Problems,” Jl. Operational Research Society 37, 285–291.
Gardiner, L.R. and R.E. Steuer (1994). “Unified Interactive Multiple Objective Programming,” European JL Operational Research 74, 391–406.
Geoffrion, A.M., J.S. Dyer, and A. Feinberg (1972). “An Interactive Approach for Multicriterion Optimization, with an Application to the Operation of an Academic Department,” Management Science 19, 357–368.
Goicoechea, A., D.R. Hanson, and L. Duckstein (1982). Multiobjective Decision Analysis with Engineering and Business Applications, John Wiley, New York.
Isermann, H. and R.E. Steuer (1988). “Computational Experience Concerning Payoff Tables and Minimum Criterion Values over the Efficient Set,” European Jl. Operational Research 33, 99–97.
Jaszkiewicz, A. and R. Slowinski (1992). “Cone Contraction Method with Visual Interaction for Multi-Objective Non-Linear Programmes,” Jl. Multi-Criteria Decision Analysis 1, 29–46.
Korhonen, P.J. and J. Laakso (1986). “A Visual Interactive Method for Solving the Multiple Criteria Problem,” European Jl. Operational Research 24, 277–287.
Korhonen, P. J. and J. Wallenius (1988). “A Pareto Race,” Naval Research Logistics 35, 615– 623.
Nakayama, H. and Y. Sawaragi (1984). “Satisficing Trade-off Method for Multiobjective Programming,” Lecture Notes in Economics and Mathematical Systems 229, 113–122.
Sakawa, M. and H. Yano (1990). “An Interactive Fuzzy Satisficing Method for Generalized Multi-objective Programming Problems with Fuzzy Parameters,” Fuzzy Sets and Systems 35, 125– 142.
Sobol, I.M. and R.B. Statnikov (1981). Optimal Parameters Choice in Multicriteria Problems, Nauka, Moscow.
Spronk, J. (1981). Interactive Multiple Goal Programming, Martinus Nijhoff Publishing, Boston.
Steuer, R. E. (1986). Multiple Criteria Optimization: Theory, Computation, and Application, John Wiley, New York.
Steuer, R.E. (1995). “ADBASE Multiple Objective Linear Programming Package,” Faculty of Management Science, University of Georgia, Athens, Georgia.
Steuer, R.E. and E.-U. Choo (1983). “An Interactive Weighted Tchebycheff Procedure for Multiple Objective Programming,” Mathematical Programming 26, 326–344.
Wierzbicki, A.P. (1982). “A Mathematical Basis for Satisficing Decision Making,” Mathematical Modelling 3, 391–405.
Wierzbicki, A.P. (1986). “On the Completeness and Constructiveness of Parametric Characterizations to Vector Optimization Problems,” OR Spektrum 8, 73–87.
Yu, P.L. (1985). Multiple-Criteria Decision Making: Concepts, Techniques and Extensions, Plenum Press, New York.
Zeleny, M. (1982). Multiple Criteria Decision Making, McGraw-Hill, New York.
Zionts, S. and J. Wallenius (1976). “An Interactive Programming Method for Solving the Multiple Criteria Problem,” Management Science 22, 652–663.
Belton, B. (1986), “A Comparison of the Analytic Hierarchy Process and a Simple Multi-Attribute Value Function,” European Jl. Operational Research, 26, 7–21.
Belton, B., and Gear, A.E. (1983), “On a Shortcoming of Saaty’s Method of Analytic Hierarchies,” Omega, 11, 227–230.
Benayoun, R., De Montgolfier, J., Tergny, J. and Larichev, O. (1971), “Linear Programming with Multiple Objective Functions: Step Method (STEM),” Mathematical Programming, 1, 366–375.
Bitran, G.R. and Rivera, J.M. (1982), “A Combined Approach to Solving Binary Multicriteria Problems,” Naval Research Logistics, 29, 181–201.
Chankong, V. Haimes, Y.Y., Thadathil, J. and Zionts, S. (1984), “Multiple Criteria Optimization: A State of the Art Review,” in Decision Making with Multiple Objectives, Springer-Verlag, Berlin, 36–90.
Geoffrion, A.M. (1968), “Proper Efficiency and the Theory of Vector Maximization,” Jl. Mathematical Analysis and Applications, 22, 618–630.
Keeney, R.L. and Raiffa, H. (1976), Decisions with Multiple Objectives: Preferences and Value Tradeoffs, John Wiley, New York.
Klein, D. and Hannan, E. (1982), “An Algorithm for the Multiple Objective Integer Linear Programming Problem,” European JL Operational Research, 9, 378–385.
Korhonen, P., and Laakso, J. (1986), “A Visual Interactive Method for Solving the Multiple Criteria Problem,” European JL Operational Research, 24, 277–287.
Korhonen, P., Wallenius, J. and Zionts, S. (1984), “Solving the Discrete Multiple Criteria Problem Using Convex Cones,” Management Science, 30, 1336–1345.
Lee, S.M. (1972), Goal Programming for Decision Analysis, Auerbach Publishers, Philadelphia.
Lotii, v., Stewart, T.J., and Zionts, S. (1992), “An Aspiration–Level Interactive Model for Multiple Criteria Decision Making,” Computers and Operations Research, 19, 671–681.
Pasternak, H. and Passy, V. (1973), “Bicriterion Mathematical Programs with Boolean Variables,” in Multiple Criteria Decision Making, University of South Carolina Press, Columbia.
Ramesh, R., Karwan, M.H. and Zionts, S. (1989), “Preference Structure Representation Using Convex Cones in Multicriteria Integer Programming,” Management Science, 35, 1092–1105.
Saaty, Thomas L. (1980), The Analytic Hierarchy Process, McGraw-Hill, New York.
Simon, H. (1957), Administrative Behavior, The Free Press, New York.
Steuer, R.E. (1976), “Multiple Objective Linear Programming with Interval Criterion Weights,” Management Science, 23, 305–316.
Villarreal, B. and Karwan, M.H. (1981), “Multi-criteria Integer Programming: A (Hybrid) Dynamic Programming Recursive Approach,” Mathematical Programming, 21, 204–223.
Yu, P.L. and Zeleny, M. (1976), “Linear Multi-parametric Programming by Multicriteria Simplex Method,” Management Science, 23, 159–170.
Zionts, S. and Wallenius, J. (1976), “An Interactive Programming Method for Solving the Multiple Criteria Problem,” Management Science, 22, 652–663.
Zionts, S. and Wallenius, J. (1980), “Identifying Efficient Vectors: Some Theory and Computational Results,” Operations Research, 28, 788–793.
Zionts, S. and Wallenius, J. (1983), “An Interactive Multiple Objective Linear Programming Method for a Class of Underlying Nonlinear Utility Functions,” Management Science, 29, 519–529.
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Gass, S.I., Harris, C.M. (1996). M. In: Gass, S.I., Harris, C.M. (eds) Encyclopedia of Operations Research and Management Science. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-0459-3_13
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