Title :
Possibility degree and sensitivity analysis in possibilistic multiobjective linear programming problems
Author_Institution :
Dept. of Syst. Sci., Kyoto Univ., Japan
Abstract :
We consider possibilistic multiobjective linear programming problems. Possibly efficient solution set is defined as a fuzzy set whose membership grade represents possibility degree of efficiency for a feasible solution. We restrict possibilistic distributions of coefficients in the problems, so that we can propose a novel calculation method of possible efficiency degree. Applying the result of our calculation method to sensitivity analysis, we can discuss re-adjustment for parameters of the possibilistic distribution.
Keywords :
fuzzy set theory; linear programming; management science; possibility theory; sensitivity analysis; fuzzy set theory; linear programming; membership grade; multiobjective programming; possibilistic distributions; possibilistic programming; sensitivity analysis; Decision making; Fuzzy sets; Informatics; Linear programming; Mathematical programming; Optimal control; Sensitivity analysis; Uncertainty; Vectors;
Conference_Titel :
Fuzzy Systems Conference Proceedings, 1999. FUZZ-IEEE '99. 1999 IEEE International
Conference_Location :
Seoul, South Korea
Print_ISBN :
0-7803-5406-0
DOI :
10.1109/FUZZY.1999.793200