Abstract
In this paper, we study two types of risk aversion two-stage fuzzy optimization problems. The first type is called two-stage fuzzy minimum risk problem (FMRP), while the second type is referred to as two-stage fuzzy value-at-risk problem (FVRP). In order to facilitate the solution of the two optimization problems, it is required to study the properties of FMRP and FVRP as well as their relationships. For this purpose, we first discuss the semicontinuity about the recourse function of two-stage FMRP. After that, we discuss the interconnections between optimal objective value of FMRP and that of FVRP, and the relationships between optimal solution of FMRP and that of FVRP. Using the obtained results, it would be possible to solve one two-stage optimization problem indirectly by solving its counterpart.
Similar content being viewed by others
References
Birge J, Louveaux F (2011) Introduction to stochastic programming, 2nd edn. Springer, Berlin
Chen Y, Liu Y, Wu X (2012) A new risk criterion in fuzzy environment and its application. Appl Math Model 36(7):3007–3028
Feng X, Yuan G (2011) Optimizing two-stage fuzzy multi-product multi-period production planning problem. Information 14(6):1879–1893
Gao J, Liu ZQ, Shen P (2009) On characterization of credibilistic equilibria of fuzzy-payoff two-player zero-sum game. Soft Comput 13(2):127–132
Gao J, Zhang Q, Shen P (2011) Coalitional game with fuzzy payoffs and credibilistic Shapley value. Iran J Fuzzy Syst 8(4):107–117
Hogan A, Morris J, Thompson H (1981) Decision problems under risk and chance constrained programming: dilemmas in the transition. Manage Sci 27:698–716
Inuiguchi M, Ichihashi H, Kume Y (1992) Relationships between modality constrained programming problems and various fuzzy mathematical programming problems. Fuzzy Set Syst 49(3):243–259
Inuiguchi M, Ramík J (2000) Possibilistic linear programming: a brief review of fuzzy mathematical programming and a comparison with stochastic programming in portfolio selection problem. Fuzzy Set Syst 111(1):3–28
Kall P (1976) Stochastic linear programming. Springer, Berlin
Klir G (1999) On fuzzy-set interpretation of possibility theory. Fuzzy Set Syst 108(3):263–273
Lai Y, Hwang C (1992) Fuzzy mathematical programming: methods and applications. Springer, Berlin
Lan Y, Liu Y, Sun G (2010) An approximation-based approach for fuzzy multi-period production planning problem with credibility objective. Appl Math Model 34(11):3202–3215
Li X, Chien C, Li L, Gao ZY, Yang L (2012a) Energy-constraint operation strategy for high-speed railway. Int J Innov Comput Inform Control 8(10):6569–6583
Li X, Wang D, Li K, Gao Z (2012b) A green train scheduling model and fuzzy multi-objective optimization algorithm. Appl Math Model. doi:10.1016/j.apm.2012.04.046
Liu B (2000) Dependent-chance programming in fuzzy environments. Fuzzy Set Syst 109(1):97–106
Liu B (2002) Theory and practice of uncertain programming. Physica, Heidelberg
Liu B (2007) Uncertain theory, 2nd edn. Springer, Berlin
Liu B, Iwamura K (1998) Chance-constrained programming with fuzzy parameters. Fuzzy Set Syst 94(2):227–237
Liu B, Liu Y (2002) Expected value of fuzzy variable and fuzzy expected value models. IEEE Trans Fuzzy Syst 10(4):445–450
Liu Y (2005) Fuzzy programming with recourse. Int J Uncertain Fuzz Knowl Syst 13(4):381–413
Liu Y, Gao J (2007) The independence of fuzzy variables with applications to fuzzy random optimization. Int J Uncertain Fuzz Knowl Syst 15(suppl 2):1–20
Liu Y, Tian M (2009) Convergence of optimal solutions about approximation scheme for fuzzy programming with minimum-risk criteria. Comput Math Appl 57(6):867–884
Liu Y, Wu X, Hao F (2012) A new chance-variance optimization criterion for portfolio selection in uncertain decision systems. Expert Syst Appl 39(7):6514–6526
Liu Z, Liu Y (2010) Type-2 fuzzy variables and their arithmetic. Soft Comput 14(7):729–747
Qin R, Liu Y (2010) Modeling data envelopment analysis by chance method in hybrid uncertain environments. Math Comput Simul 80(5):922–950
Qin R, Liu Y, Liu Z (2011a) Methods of critical value reduction for type-2 fuzzy variables and their applications. J Comput Appl Math 235(5):1454–1481
Qin R, Liu Y, Liu Z (2011b) Modeling fuzzy data envelopment analysis by parametric programming method. Expert Syst Appl 38(7):8648–8663
Sakawa M (1993) Fuzzy sets and interactive multiobjective optimization. Plenum Press, New York
Shen P, Gao J (2011) Coalitional game with fuzzy information and credibilistic core. Soft Comput 15(4):781–786
Shen S, Liu Y (2010) A new class of fuzzy location-allocation problems and its approximation method. Information 13(3A):577–591
Sun G, Liu Y, Lan Y (2010) Optimizing material procurement planning problem by two-stage fuzzy programming. Comput Ind Eng 58(1):97–107
Sun G, Liu Y, Lan Y (2011) Fuzzy two-stage material procurement planning problem. J Intell Manuf 22(2):319–331
Rockafellar R, Wets R (1998) Variational analysis. Springer, Berlin
Wang P (1982) Fuzzy contactability and fuzzy variables. Fuzzy Set Syst 8(1):81–92
Wang S, Liu Y, Dai X (2007) On the continuity and absolute continuity of credibility functions. J Uncertain Syst 1(3):185–200
Wu X, Liu Y (2012) Optimizing fuzzy portfolio selection problems by parametric quadratic programming. Fuzzy Optim Decis Mak 11:1–39 doi:10.1007/s10700-012-9126-9
Wu X, Liu Y, Chen W (2012) Reducing uncertain information in type-2 fuzzy variables by Lebesgue-Stieltjes integral with applications. Information 15(4):1409–1426
Yang L, Li K, Gao Z (2009) Train timetable problem on a single-line railway with fuzzy passenger demand. IEEE Trans Fuzzy Syst 17(3):617–629
Yang L, Gao Z, Li K, Li X (2012) Optimizing trains movement on a railway network. Omega Int J Manag Sci 40:619–633
Yuan G (2012) Two-stage fuzzy production planning expected value model and its approximation method. Appl Math Model 36(6):2429–2445
Zadeh LA (1978) Fuzzy sets as a basis for a theory of possibility. Fuzzy Set Syst 1(1):3–28
Acknowledgments
This work was supported by the Natural Science Foundation of Hebei Province (A2011201007), and National Natural Science Foundation of China (no.60974134).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Liu, Y., Bai, X. Studying interconnections between two classes of two-stage fuzzy optimization problems. Soft Comput 17, 569–578 (2013). https://doi.org/10.1007/s00500-012-0925-2
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00500-012-0925-2