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UTA Methods

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Multiple Criteria Decision Analysis: State of the Art Surveys

Part of the book series: International Series in Operations Research & Management Science ((ISOR,volume 78))

Abstract

UTA methods refer to the philosophy of assessing a set of value or utility functions, assuming the axiomatic basis of MAUT and adopting the preference disaggregation principle. UTA methodology uses linear programming techniques in order to optimally infer additive value/utility functions, so that these functions are as consistent as possible with the global decision-maker’s preferences (inference principle). The main objective of this chapter is to analytically present the UTA method and its variants and to summarize the progress made in this field. The historical background and the philosophy of the aggregation-disaggregation approach are firstly given. The detailed presentation of the basic UTA algorithm is presented, including discussion on the stability and sensitivity analyses. Several variants of the UTA method, which incorporate differentforms of optimality criteria, are also discussed. The implementation of the UTA methods is illustrated by a general overview of UTA-based DSSs, as well as real-world decision-making applications. Finally, several potential future research developments are discussed.

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References

  1. S. Angilella, S. Greco, F. Lamantia, and B. Matarazzo. Assessing non-additive utility for multicriteria decision aid. European Journal of Operational Research, in press, 2003.

    Google Scholar 

  2. C.A. Bana e Costa, F. Nunes Da Silva, and J.C. Vansnick. Conflict dissolution in the public sector: A case-study. European Journal of Operational Research, 130(2):388–401, 2001.

    Article  Google Scholar 

  3. C.A. Bana e Costa and J.C. Vansnick. MACBETH: An interactive path towards the construction of cardinal value functions. International Transactions in Operations Research, 1(4):489–500, 1994.

    Google Scholar 

  4. C.A. Bana e Costa and J.C. Vansnick. Applications of the MACBETH approach in the framework of an additive aggregation model. Journal of Multi-Criteria Decision Analysis, 6(2):107–114, 1997.

    Article  Google Scholar 

  5. G. Baourakis, N.F. Matsatsinis, and Y. Siskos. Agricultural product design and development. In J. Janssen and C.H. Skiadas, editors, Applied stochastic models and data analysis, pages 1108–1128. World Scientific, Singapore, 1993.

    Google Scholar 

  6. G. Baourakis, N.F. Matsatsinis, and Y. Siskos. Consumer behavioural analysis using multicriteria methods. In J. Janssen, C.H. Skiadas, and C. Zopounidis, editors, Advances in stochastic modelling and data analysis, pages 328–338. Kluwer Academic Publishers, Dordrecht, 1995.

    Google Scholar 

  7. G. Baourakis, N.F. Matsatsinis, and Y. Siskos. Agricultural product development using multidimensional and multicriteria analyses: The case of wine. European Journal of Operational Research, 94(2):321–334, 1996.

    Article  Google Scholar 

  8. M. Beuthe, L. Eeckhoudt, and G. Scanella. A practical multicriteria methodology for assessing risky public investments. Socio-Economic Planning Sciences, 34(2):121–139, 2000.

    Article  Google Scholar 

  9. M. Beuthe and G. Scannella. Applications comparées des méthodes d’analyse multicritère UTA. RAIRO Recherche Opérationelle, 30(3):293–315, 1996.

    Google Scholar 

  10. M. Beuthe and G. Scannella. MUSTARD User’s Guide. GTM, Facultés Universitaires Catholiques de Mons (FUCaM), Mons, 1999.

    Google Scholar 

  11. M. Beuthe and G. Scannella. Comparative analysis of UTA multicriteria methods. European Journal of Operational Research, 130(2):246–262, 2001.

    Article  Google Scholar 

  12. T.X. Bui. Co-oP: A Group Decision Support System for Cooperative Multiple Criteria Group Decision Making, volume 290 of Lecture Notes in Computer Science. Springer-Verlag, Berlin, 1987.

    Google Scholar 

  13. A. Charnes and W. Cooper. Management Models and Industrial Applications of Linear Programming Vol. 1. John Wiley & Sons, New York, 1961.

    Google Scholar 

  14. A. Charnes, W. Cooper, and R.O. Ferguson. Optimal estimation of executive compensation by linear programming. Management Science, 1(2):138–151, 1955.

    MathSciNet  Google Scholar 

  15. J.C. Cosset, Y. Siskos, and C. Zopounidis. Evaluating country risk: A decision support approach. Global Finance Journal, 3(1):79–95, 1992.

    Article  Google Scholar 

  16. D.K. Despotis and D. Yannacopoulos. Méthode d’estimation d’utilités additives concaves en programmation linéare multiobjectifs. RAIRO Recherche Opérationelle, 24:331–349, 1990.

    MathSciNet  Google Scholar 

  17. D.K. Despotis, D. Yannacopoulos, and C. Zopounidis. A review of the uta multicriteria method and some improvements. Foundations of Computing and Decision Sciences, 15(2):63–76, 1990.

    Google Scholar 

  18. D.K. Despotis and C. Zopounidis. Building additive utilities in the presence of nonmonotonic preference. In P.M. Pardalos, Y. Siskos, and C. Zopounidis, editors, Advances in Multicriteria Analysis, pages 101–114. Kluwer Academic Publisher, Dordrecht, 1993.

    Google Scholar 

  19. J.M. Devaud, G. Groussaud, and E. Jacquet-Lagrèze. UTADIS: Une méthode de construction de fonctions d’utilité additives rendant compte de jugements globaux. European Working Group on Multicriteria Decision Aid, Bochum, 1980.

    Google Scholar 

  20. D. Diakoulaki, C. Zopounidis, G. Mavrotas, and M. Doumpos. The use of a preference disaggregation method in energy analysis and policy making. Energy — The International Journal, 24(2):157–166, 1999.

    Google Scholar 

  21. L. Dias, V. Mousseau, J. Figueira, and J. Climaco. An aggregation/disaggregation approach to obtain robust conclusions with electre tri. European Journal of Operational Research, 138(2):332–348, 2002.

    Article  Google Scholar 

  22. A.I. Dimitras, R. Slowinski, R. Susmaga, and C. Zopounidis. Business failure prediction using rough sets. European Journal of Operational Research, 114(2):263–280, 1999.

    Article  Google Scholar 

  23. M. Doumpos and C. Zopounidis. Multicriteria Decision Aid Classification Methods. Kluwer Academic Publishers, Dordrecht, 2002.

    Google Scholar 

  24. M. Doumpos and C. Zopounidis. On the development of an outranking relation for ordinal classification problems: An experimental investigation of a new methodology. Optimization Methods and Software, 17(2):293–317, 2002.

    Article  MathSciNet  Google Scholar 

  25. P. Fishburn. A note on recent developments in additive utility theories for multiple factors situations. Operations Research, 14:1143–1148, 1966.

    MATH  Google Scholar 

  26. N. Freed and G. Glover. Simple but powerful goal programming models for discriminant problems. European Journal of Operational Research, 7:44–60, 1981.

    Article  Google Scholar 

  27. A.M. Geoffrion, J.S. Dyer, and A. Feinberg. An interactive approach for multi-criterion optimization, with an application to the operation of an academic department. Management Science, 19(4):357–368, 1972.

    Google Scholar 

  28. M.C. González-Araya, L.A.D. Rangel, M.P.E. Lins, and L.F.A.M. Gomes. Building the additive utility functions for CAD-UFRJ evaluation staff criteria. Annals of Operations Research, 116(1–4):271–288, 2002.

    MathSciNet  Google Scholar 

  29. M. Grabisch. The application of fuzzy integrals in multicriteria decision making. European Journal of Operational Research, 89(3):445–456, 1996.

    Article  MATH  Google Scholar 

  30. E. Grigoroudis, J. Malandrakis, J. Politis, and Y. Siskos. Customer satisfaction measurement: An application to the Greek shipping sector. In D.K. Despotis and C. Zopounidis, editors, Integrating Technology & Human Decisions: Global Bridges into the 21st Century. Proceedings of the 5th Decision Sciences Institute International Conference, July 4–7 1999, Athens, Greece, volume 2, pages 1363–1365, 1999.

    Google Scholar 

  31. E. Grigoroudis, Y. Politis, and Y. Siskos. Satisfaction benchmarking and customer classification: An application to the branches of a banking organization. International Transactions in Operational Research, 9(5):599–618, 2002.

    Article  Google Scholar 

  32. E. Grigoroudis and Y. Siskos. Preference disaggregation for measuring and analysing customer satisfaction: The MUSA method. European Journal of Operational Research, 143(1):148–170, 2002.

    Article  Google Scholar 

  33. E. Grigoroudis and Y. Siskos. MUSA: A decision support system for evaluating and analysing customer satisfaction. In K. Margaritis and I. Pitas, editors, Proceedings of the 9th Panhellenic Conference in Informatics, Thessaloniki, Greece, pages 113–127, 2003.

    Google Scholar 

  34. E. Grigoroudis and Y. Siskos. A survey of customer satisfaction barometers: Results from the transportation-communications sector. European Journal of Operational Research, 152(2):334–353, 2003.

    Google Scholar 

  35. E. Grigoroudis, Y. Siskos, and O. Saurais. TELOS: A customer satisfaction evaluation software. Computers and Operations Research, 27(7–8):799–817, 2000.

    Article  Google Scholar 

  36. I. Hatzinakos, D. Yannacopoulos, C. Faltsetas, and C. Ziourkas. Application of the MINORA decision support system to the evaluation of landslide favourability in Greece. European Journal of Operational Research, 50(1):60–75, 1991.

    Google Scholar 

  37. Ch. Hurson and C. Zopounidis. Gestion de Portefeuille et Analyse Multicritère. Economica, Paris, 1997.

    Google Scholar 

  38. E. Jacquet-Lagrèze. Interactive assessment of preferences using holistic judgments: The PREFCALC system. In C.A. Bana e Costa, editor, Readings in Multiple Criteria Decision Aid, pages 225–250. Springer-Verlag, Berlin, 1990.

    Google Scholar 

  39. E. Jacquet-Lagrèze. An application of the UTA discriminant model for the evaluation of R&D projects. In P.M. Pardalos, Y. Siskos, and C. Zopounidis, editors, Advances in Multicriteria Analysis, pages 203–211. Kluwer Academic Publishers, Dordrecht, 1995.

    Google Scholar 

  40. E. Jacquet-Lagrèze, R. Meziani, and R. Slowinski. MOLP with an interactive assessment of a piecewise linear utility function. European Journal of Operational Research, 31(3):350–357, 1987.

    MathSciNet  Google Scholar 

  41. E. Jacquet-Lagrèze and M.F. Shakun. Decision support systems for semistructured buying decisions. European Journal of Operational Research, 16:48–56, 1984.

    Google Scholar 

  42. E. Jacquet-Lagrèze and J. Siskos. Une méthode de construction de fonctions d’ utilité additives explicatives d’ une prèfèrence globale. Technical Report Cahiers du LAMSADE 16, Université de Paris-Dauphine, Paris, 1978.

    Google Scholar 

  43. E. Jacquet-Lagrèze and Y. Siskos. Assessing a set of additive utility functions for multicriteria decision making: The UTA method. European Journal of Operational Research, 10(2):151–164, 1982.

    Google Scholar 

  44. E. Jacquet-Lagrèze and Y. Siskos. Preference disaggregation: 20 years of MCDA experience. European Journal of Operational Research, 130(2):233–245, 2001.

    Google Scholar 

  45. M. Jarke, M.T. Jelassi, and M.F. Shakun. MEDIATOR: Toward a negotiation support system. European Journal of Operational Research, 31(3):314–334, 1987.

    Article  Google Scholar 

  46. O.J. Karst. Linear curve fitting using least deviations. Journal of the American Statistical Association, 53:118–132, 1958.

    MATH  MathSciNet  Google Scholar 

  47. R.L. Keeney. Siting Energy Facilities. Academic Press, New York, 1980.

    Google Scholar 

  48. R.L. Keeney and H. Raiffa. Decisions with Multiple Objectives: Preferences and Value Tradeoffs. John Wiley & Sons, New York, 1976.

    Google Scholar 

  49. J.E. Kelley. An application of linear programming to curve fitting. Journal of Industrial and Applied Mathematics, 6(1):15–22, 1958.

    MATH  MathSciNet  Google Scholar 

  50. L.N. Kiss, J.M. Martel, and R. Nadeau. ELECCALC — An interactive software for modelling the decision maker’s preferences. Decision Support Systems, 12(4–5):311–326, 1994.

    Article  Google Scholar 

  51. G. Klein, H. Moskowitz, S. Mahesh, and A. Ravindran. Assessment of multiattribute measurable value and utility functions via mathematical programming. Decision Sciences, 16(3):309–324, 1985.

    Google Scholar 

  52. M. Kostkowski and R. Slowinski. UTA+application (v. 1.20)—User’smanual. Technical Report Documents du LAMSADE 95, Université de Paris-Dauphine, Paris, 1996.

    Google Scholar 

  53. B. Malakooti and Y.Q. Zhou. Feedforward artificial neural networks for solving discrete multiple criteria decision making problems. Management Science, 40(11):1542–1561, 1994.

    Google Scholar 

  54. M. Manas and J. Nedoma. Finding all vertices of a convex polyhedron. Numerical Mathematics, 12:226–229, 1968.

    MathSciNet  Google Scholar 

  55. N. Manouselis and N.F. Matsatsinis. Introducing a multi-agent, multi-criteria methodology for modeling electronic consumer’s behavior: The case of internet radio. In M. Klush and F. Zambonelli, editors, Cooperative Information Agents V, volume 2182 of Lecture Notes in Artificial Intelligence, pages 190–195. Springer-Verlag, Berlin, 2001.

    Google Scholar 

  56. J.L. Marichal and M. Roubens. Determination of weights of interactive criteria from a reference set. European Journal of Operational Research, 124(3):641–650, 2000.

    Article  MathSciNet  Google Scholar 

  57. N.F. Matsatsinis. New agricultural product development using data mining techniques and multicriteria methods. In A. Sideridis, editor, Proceedings of the 1st Hellenic Association of Information and Communication Technology in Agriculture, Food and Environment (HAICTA 2002), June 6–7 2002, Athens, Greece, 2002.

    Google Scholar 

  58. N.F. Matsatsinis and P. Delias. AgentAllocator: An agent-based multi-criteria decision support system for task allocation. In V. Marik, D. McFarlane, and P. Valckenaers, editors, Holonic and Multiagent Systems for Manufacturing, volume 2744 of Lecture Notes in Artificial Intelligence, pages 225–235. Springer-Verlag, Berlin, 2003.

    Google Scholar 

  59. N.F. Matsatsinis, P. Moraitis, V. Psomatakis, and N. Spanoudakis. Intelligent software agents for products penetration strategy selection. In F.G. Garijo and M. Boman, editors, Proceedings of the 9th European Workshop on Modelling Autonomous Agents in a Multi Agent World (MAAMAW99), June 30–July 2 1999, Valencia, Spain, 1999.

    Google Scholar 

  60. N.F. Matsatsinis, P. Moraitis, V. Psomatakis, and N. Spanoudakis. Multi-agent architecture for agricultural products development. In G. Schiefer, R. Helbig, and U. Rickert, editors, Proceedings of the 2nd European Conference of the European Federation for Information Technology in Agriculture, Food and the Environment (EFITA 2000), September 27–30 2000, Bonn, Germany, pages 187–196, 2000.

    Google Scholar 

  61. N.F. Matsatsinis, P. Moraitis, V. Psomatakis, and N. Spanoudakis. An agent-based system for products penetration strategy selection. Applied Artificial Intelligence, 17(10):901–925, 2003.

    Google Scholar 

  62. N.F. Matsatsinis and A. Samaras. MCDA and preference disaggregation in group decision support systems. European Journal of Operational Research, 130(2):414–429, 2001.

    Article  Google Scholar 

  63. N.F. Matsatsinis and Y. Siskos. MARKEX: An intelligent decision support system for product development decision. European Journal of Operational Research, 113(2):363–354, 1999.

    Article  Google Scholar 

  64. N.F. Matsatsinis and Y. Siskos. DIMITRA: An intelligent decision support system for agricultural products development decisions. In F. Sevila, editor, Proceedings of the 3rd European Conference of the European Federation for Information Technology in Agriculture, Food and the Environment (EFITA 2001), June 18–20, Montpellier, France, 2001.

    Google Scholar 

  65. N.F. Matsatsinis and Y. Siskos. Intelligent Support Systems for Marketing Decision. Kluwer Academic Publishers, Dordrecht, 2003.

    Google Scholar 

  66. G. Mihelis, E. Grigoroudis, Y. Siskos, Y. Politis, and Y. Malandrakis. Customer satisfaction measurement in the private bank sector. European Journal of Operational Research, 130(2):347–360, 2001.

    Article  Google Scholar 

  67. V. Mousseau, J. Figueira, and J.Ph. Naux. Using assignment examples to infer weights for ELECTRE-TRI method: Some experimental results. European Journal of Operational Research, 130(2):263–275, 2000.

    Google Scholar 

  68. V. Mousseau and R. Slowinski. Inferring an ELECTRE-TRI model from assignment examples. Journal of Global Optimization, 12(2):157–174, 1998.

    Article  MathSciNet  Google Scholar 

  69. V. Mousseau, R. Slowinski, and P. Zielniewicz. A user-oriented implementation of the ELECTRE-TRI method integrating preference elicitation support. Computers and Operations Research, 27(7–8):757–777, 2000.

    Article  Google Scholar 

  70. T. Murofushi and M. Sugeno. An interpretation of fuzzy measure and the Choquet integral as an integral withrespect to a fuzzy measure. Fuzzy Sets and Systems, 29(2):201–227, 1989.

    Article  MathSciNet  Google Scholar 

  71. M. Oral and O. Kettani. Modelling the process of multiattribute choice. Journal of the Operational Research Society, 40(3):281–291, 1989.

    Google Scholar 

  72. M. Oral, O. Kettani, J.C. Cosset, and M. Daouas. An estimation model for country risk rating. International Journal of Forecasting, 8(4):583–593, 1992.

    Article  Google Scholar 

  73. Z. Pawlak. Rough sets. International Journal of Information and Computer Sciences, 11(5):341–356, 1982.

    MATH  MathSciNet  Google Scholar 

  74. J.R. Quinlan. Induction of decision trees. Machine Learning, 1(1):81–106, 1986.

    Google Scholar 

  75. J.L. Richard. Aide à la décision stratégique en P.M.E. In E. Jacquet-Lagrèze and Y. Siskos, editors, Méthode de Décision Multicritère, pages 119–142. Hommes et Techniques, Paris, 1983.

    Google Scholar 

  76. B. Roy. Méthodologie Multicritère d’Aide à la Décision. Economica, Paris, 1985.

    Google Scholar 

  77. E. Sandalidou, E. Grigoroudis, and Y. Siskos. Organic and conventional olive oil consumers: A comparative analysis using customer satisfaction evaluation approach. In G. Baourakis, editor, Marketing Trends for Organic Food in the Advent of the 21st Century. World Scientific, 2003. to appear.

    Google Scholar 

  78. M.F. Shakun. Evolutionary Systems Design: Policymaking Under Complexity and Group Decision Support Systems. Holden-Day, San Francisco, CA, 1988.

    Google Scholar 

  79. M.F. Shakun. Airline buyout: Evolutionary systems design and problem restructuring in group decision and negotiation. Management Science, 37(10):1291–1303, 1991.

    MATH  Google Scholar 

  80. J. Siskos and D.K. Despotis. A DSS oriented method for multiobjective linear programming problems. Decision Support Systems, 5(1):47–55, 1989.

    Article  Google Scholar 

  81. Y. Siskos. Comment modéliser les préférences au moyen de fonctions d’utilité additives. RAIRO Recherche Opérationelle, 14:53–82, 1980.

    MATH  Google Scholar 

  82. Y. Siskos. A way to deal with fuzzy preferences in multicriteria decision problems. European Journal of Operational Research, 10(3):314–324, 1982.

    Article  MATH  Google Scholar 

  83. Y. Siskos. Analyse de systèmes de décision multicritère en univers aléatoire. Foundations of Control Engineering, 10(3–4): 193–212, 1983.

    MathSciNet  Google Scholar 

  84. Y. Siskos. Analyses de regression et programmation lineaire. Revue de Statistique Appliquée, 23(2):41–55, 1985.

    MathSciNet  Google Scholar 

  85. Y. Siskos. Evaluating a system of furniture retail outlets using an interactive ordinal regression method. European Journal of Operational Research, 23:179–193, 1986.

    Article  Google Scholar 

  86. Y. Siskos. MUSTARD: Multicriteria utility-based stochastic aid for ranking decisions. Journal of Behavioral Decision Making, 15(5):461–465, 2002.

    Article  Google Scholar 

  87. Y. Siskos and N. Assimakopoulos. Multicriteria highway planning: A case study. Mathematical and Computer Modelling, 12(10–11):1401–1410, 1989.

    Article  Google Scholar 

  88. Y. Siskos and E. Grigoroudis. Measuring customer satisfaction for various services using multicriteria analysis. In D. Bouyssou, E. Jacquet-Lagrèze, P. Perny, R. Sllowinski, D. Vanderpooten, and P. Vincke, editors, Aiding Decisions with Multiple Criteria: Essays in Honor of Bernard Roy, pages 457–482. Kluwer Academic Publishers, Dordrecht, 2002.

    Google Scholar 

  89. Y. Siskos, E. Grigoroudis, N.F. Matsatsinis, and G. Baourakis. Preference disaggregation analysis in agricultural product consumer behaviour. In P.M. Pardalos, Y. Siskos, and C. Zopounidis, editors, Advances in Multicriteria Analysis, pages 185–202. Kluwer Academic Publishers, Dordrecht, 1995.

    Google Scholar 

  90. Y. Siskos, E. Grigoroudis, N.F. Matsatsinis, G. Baourakis, and F. Neguez. Comparative behavioural analysis of european olive oil consumer. In J. Janssen, C.H. Skiadas, and C. Zopounidis, editors, Advances in Stochastic Modelling and Data Analysis, pages 293–310. Kluwer Academic Publishers, Dordrecht, 1995.

    Google Scholar 

  91. Y. Siskos, E. Grigoroudis, Y. Politis, and Y. Malandrakis. Customer satisfaction evaluation: Some real experiences. In A. Colorni, M. Paruccini, and B. Roy, editors, A-MCD-A: Multiple Criteria Decision Aiding, pages 297–314. European Commission Joint Research Centre, Ispra, Italy, 2001.

    Google Scholar 

  92. Y. Siskos, E. Grigoroudis, C. Zopounidis, and O. Saurais. Measuring customer satisfaction using a collective preference disaggregation model. Journal of Global Optimization, 12(2):175–795, 1998.

    MathSciNet  Google Scholar 

  93. Y. Siskos and N.F. Matsatsinis. A DSS for market analysis and new product design. Journal of Decision Systems, 2(1):35–60, 1993.

    Google Scholar 

  94. Y. Siskos, N.F. Matsatsinis, and G. Baourakis. Multicriteria analysis in agricultural marketing: The case of French olive oil market. European Journal of Operational Research, 130(2):315–331, 2001.

    Article  Google Scholar 

  95. Y. Siskos, A. Spiridakos, and D. Yannacopoulos. Using artificial intelligence and visual techniques into preference disaggregation analysis: The MIIDAS system. European Journal of Operational Research, 113(2):236–246, 1999.

    Google Scholar 

  96. Y. Siskos and A. Spyridakos. Intelligent multicriteria decision support: Overview and perspectives. European Journal of Operational Research, 113(2):236–246, 1999.

    Google Scholar 

  97. Y. Siskos, A. Spyridakos, and D. Yannacopoulos. MINORA: A multicriteria decision aiding system for discrete alternatives. Journal of Information Science and Technology, 2(2):136–149, 1993.

    Google Scholar 

  98. Y. Siskos and D. Yannacopoulos. UTASTAR: An ordinal regression method for building additive value functions. Investigação Operacional, 5(1):39–53, 1985.

    Google Scholar 

  99. Y. Siskos and C. Zopounidis. The evaluation criteria of the venture capital investment activity: An interactive assessment. European Journal of Operational Research, 31(3):304–313, 1987.

    Article  Google Scholar 

  100. Y. Siskos, C. Zopounidis, and A. Pouliezos. An integrated DSS for financing firms by an industrial development bank in Greece. Decision Support Systems, 112(2):151–168, 1994.

    Google Scholar 

  101. R. Slowinski. Rough set approach to decision analysis. AI Expert Magazine, 10(3):18–25, 1995.

    MathSciNet  Google Scholar 

  102. P. Spiliopoulos. Analyse et Simulation du Marché pour le Lancement d’un Nouveau Produit Réalisation d’un SIAD. PhD thesis, Université de Paris-Dauphine, Paris, 1987. Thèse de 3e cycle.

    Google Scholar 

  103. A. Spyridakos, Y. Siskos, D. Yannakopoulos, and A. Skouris. Multicriteria job evaluation for large organisations. European Journal of Operational Research, 130(2):375–387, 2000.

    Google Scholar 

  104. V. Srinivasan and A.D. Shocker. Linear programming techniques for multidimensional analysis of preferences. Psychometrika, 38(3):337–396, 1973.

    MathSciNet  Google Scholar 

  105. A. Stam, M. Sun, and M. Haines. Artificial neural network representations for hierarchical preference structures. Computers and Operations Research, 23(12):1191–1201, 1996.

    Article  Google Scholar 

  106. T.J. Stewart. Pruning of decision alternatives in multiple criteria decision making, based on the UTA method for estimating utilities. European Journal of Operational Research, 28(1):79–88, 1987.

    Article  MATH  MathSciNet  Google Scholar 

  107. C. Van de Panne. Methods for Linear and Quadratic Programming. North-Holland Publishing Company, Amsterdam, 1975.

    Google Scholar 

  108. H.M. Wagner. Linear programming techniques for regression analysis. Journal of the American Statistical Association, 54:206–212, 1959.

    MATH  MathSciNet  Google Scholar 

  109. F.W. Young, J. De Leeuw, and Y. Takane. Regression with qualitative and quantitative variables: An alternating least squares method with optimal scaling features. Phychometrika, 41(4):505–529, 1976.

    Google Scholar 

  110. K. Zaras. Rough approximation of a preference relation by a multi-attribute stochastic dominance for deterministic and stochastic evaluation problems. European Journal of Operational Research, 130(2):305–314, 2000.

    Google Scholar 

  111. S. Zionts and J. Wallenius. An interactive programming method for solving the multiple criteria problem. Management Science, 22(6):652–663, 1976.

    Google Scholar 

  112. C. Zopounidis. A multicriteria decision-making methodology for the evaluation of the risk of failure and an application. Foundations of Control Engineering, 12(1):45–67, 1987.

    Google Scholar 

  113. C. Zopounidis and M. Doumpos. A multicriteria decision aid methodology for the assessment of country risk. European Research on Management and Business Economics, 3(3):13–33, 1997.

    Google Scholar 

  114. C. Zopounidis and M. Doumpos. Developing a multicriteria decision support system for financial classification problems: The FINCLAS system. Optimization Methods and Software, 8((3–4)):277–304, 1998.

    Google Scholar 

  115. C. Zopounidis and M. Doumpos. Business failure prediction using UTADIS multicriteria analysis. Journal of the Operational Research Society, 50(11):1138–1148, 1999.

    Google Scholar 

  116. C. Zopounidis and M. Doumpos. Building additive utilities for multi—group hierarchical discrimination: The MHDIS method. Optimization Methods and Software, 14(3):219–240, 2000.

    Google Scholar 

  117. C. Zopounidis and M. Doumpos. INVESTOR: A decision support system based on multiple criteria for portfolio selection and composition. In A. Colorni, M. Paruccini, and B. Roy, editors, A-MCD-A: Multiple Criteria Decision Aiding, pages 371–381. European Commission Joint Research Centre, Ispra, Italy, 2000.

    Google Scholar 

  118. C. Zopounidis and M. Doumpos. PREFDIS: A multicriteria decision support system for sorting decision problems. Computers and Operations Research, 27((7–8)):779–797, 2000.

    Google Scholar 

  119. C. Zopounidis and M. Doumpos. A preference disaggregation decision support system for financial classification problems. European Journal of Operation Research, 130(2):402–413, 2001.

    Google Scholar 

  120. C. Zopounidis, M. Doumpos, and S.H. Zanakis. Stock evaluation using a preference disaggregation methodology. Decision Sciences, 30(2):313–336, 1999.

    Google Scholar 

  121. C. Zopounidis, Ch. Hurson, and M. Doumpos. Risque-Pays: Evaluation des Aspects Economiques, Sociaux et Politiques. Economica, Paris, 2000.

    Google Scholar 

  122. C. Zopounidis, N.F. Matsatsinis, and M. Doumpos. Developing a multicriteria knowledge-based decision support system for the assessment of corporate performance and viability: The FINEVA system. Fuzzy Economic Review, 1(2):35–53, 1996.

    Google Scholar 

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Authors and Affiliations

  1. Department of Informatics, University of Piraeus, 80 Karaoli & Dimitriou Str., 18534, Piraeus, Greece

    Yannis Siskos

  2. Decision Support Systems Laboratory, Technical University of Crete, University Campus Kounoupidiana, 73100, Chania—, Greece

    Evangelos Grigoroudis & Nikolaos F. Matsatsinis

Authors
  1. Yannis Siskos
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  2. Evangelos Grigoroudis
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  3. Nikolaos F. Matsatsinis
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© 2005 Springer Science + Business Media, Inc.

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Siskos, Y., Grigoroudis, E., Matsatsinis, N.F. (2005). UTA Methods. In: Multiple Criteria Decision Analysis: State of the Art Surveys. International Series in Operations Research & Management Science, vol 78. Springer, New York, NY. https://doi.org/10.1007/0-387-23081-5_8

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