An interactive algorithm for large scale multiple objective programming problems with fuzzy parameters through TOPSIS approach
DOI:
https://doi.org/10.2298/YJOR1102253AKeywords:
Interactive decision making, multiple objective programming problems, fuzzy parameters, TOPSIS, block angular structureAbstract
This article has been retracted. Link to the retraction 10.2298/YJOR141008034U
In this paper, we extend TOPSIS (Technique for Order Preference by Similarity Ideal Solution) for solving Large Scale Multiple Objective Programming problems involving fuzzy parameters. These fuzzy parameters are characterized as fuzzy numbers. For such problems, the α-Pareto optimality is introduced by extending the ordinary Pareto optimality on the basis of the α-Level sets of fuzzy numbers. An interactive fuzzy decision making algorithm for generating α-Pareto optimal solution through TOPSIS approach is provided, where a decision maker (DM) is asked to specify the degree α and the relative importance of objectives. Finally, a numerical example is given to clarify the main results developed in the paper.
References
Abo-Sinna, M. A., "Extensions of the TOPSIS for multi-objective dynamic programming problems under fuzziness", Advances in Modeling & Analysis (AMSE Press, France), B, 43 (4) (2000) 1-24.
Abo-Sinna, M.A., "Generating an α-Pareto optimal solution to multiobjective nonlinear programming problems with fuzzy parameters: a decomposition method", The Journal of Fuzzy Mathematics, 10 (2) (2002) 423-439.
Bellman, R.E., and Zadeh, L.A., "Decision-making in fuzzy environment", Management Science, B, 17 (1970) 141-164.
Chen, C.T., "Extensions of the TOPSIS for group decision-making under fuzzy environment", Fuzzy Sets and Systems, 114 (2000) 1-9.
Dantzig, G. and Wolfe, P., "The decomposition algorithm for linear programming", Econometric, 9 (4) (1961).
Dauer, J.P., and Osman, M.S.A., "Decomposition of the parametric space in multiobjective convex programs using the generalized Tchebycheff norm", Journal of Mathematical Analysis and Applications, 107 (1) (1985) 156-166.
Deng, H., Yeh, C.H., and Willis, R.J., "Inter-company comparison using modified TOPSIS with objective weights", Computers & Operations Research, 17 (2000) 963-973.
Dubois, D., and Prade, A., "Fuzzy Sets and Systems: Theory and applications", Academic Press, New York, 1980.
El-Sawy, A.A., El-Khouly, N.A. and Abou-El-Enien, T.H.M., "An algorithm for decomposing the parametric space in large scale linear vector optimization problems: A fuzzy approach", Advances in Modeling and Analysis, (AMSE Press, France), C, 55 (2) (2000) 1-16.
Freimer, M., and Yu, P.L., "Some new results on compromise solutions for group decision problems", Management Science, 22 (6) (1976) 688-693.
Ho, J.K., and Sundarraj, R.P., "An advanced implementation of the Dantzig-Wolf decomposition algorithm for linear programming", 20 (1981) 303-326.
Ho, J.K., and Sundarraj, R.P., "Computational experience with advanced implementation of decomposition algorithm for linear programming", Mathematical Programming, 27 (1983) 283-290.
Hwang, C.L., and Masud, A.S.M., "Multiple objective decision making methods and applications", Springer-Verlag, New York, USA, 1979.
Hwang, C.L., and Yoon, K., "Multiple Attribute Decision Making: Methods and Applications", Springer-Verlag, Heidelbeg, 1981.
Lai, Y. J., Liu, T.Y. and Hwang, C.L., "TOPSIS for MODM", European Journal of Operational Research, 76 (1994) 486-500.
Lasdon, L.S., "Optimization Theory for Large Systems", Macmillan, New York, U.S.A., (1970).
Lasdon, L.S., Waren, A.D., and Ratner, M.W., "GRG2 user's guide technical memorandum", University of Texas, 1980.
Nikolsky, S.M., "A Course of Mathematical Analysis", Mir Publishers, Moscow, USSR, 1987.
Opricovic, S., and Tzeng, G.H., "Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS", European Journal of Operational Research, 156 (2) (2004) 445-455.
Osman, M.S., Saad, O.M., and Hasan, A.G., "Solving a special class of large scale fuzzy multiobjective integer linear programming problems", Fuzzy Sets and Systems, 107 (1999) 289-297.
Sakawa, M., and Kato, K., "Interactive decision making for large scale multiobjective Linear programs with fuzzy numbers", Fuzzy Sets and Systems, 88 (1997) 161-172.
Sakawa, M., and Yano, H., "Interactive decision-making for multiobjective programming problems with fuzzy parameters", Fuzzy Sets and Systems, 29 (1989) 315-326.
Sakawa, M., Yano, H., and Yumine, T., "An interactive fuzzy satisficing method for multiobjective linear-programming problems and its application", IEEE Transactions Systems, Man and Cybernetics, SMC - 17 (4) (1987) 654-661.
Sakawa, M., Sawada, M.K., and Inuiguchi, M., "A fuzzy satisficing method for large scale linear programming problems with block angular structure", European Journal of Operational Research, 81 (1995) 399-409.
Sakawa, M., Fuzzy Sets and Interactive Multiobjective Optimization, Plenum Press, New York, 1993.
Sakawa, M., "Large Scale Interactive Fuzzy Multiobjective Programming", Physica-Verlag. A Springer-Verlag Company, New York, 2000.
Yu, P.L., and Zeleny, M., "The set of all non-dominated solutions in linear cases and a multicriteria decision making", Journal of Mathematical Analysis and Applications, 49 (1975) 430-448.
Zeleny, M., "Compromise Programming", in: J.L. Cochrane and M. Zeleny (eds.), Multiple Criteria Decision Making, University of South Carolina, Columbia, SC, (1973) 262-300.
Zeleny, M., "Multiple Criteria Decision Making", McGraw-Hill, New York, 1982.
Zimmermann, H.-J., "Fuzzy Sets, Decision Making, and Expert Systems", Kluwer Academic Publishers, Boston, USA, 1987.
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