Title :
An interactive fuzzy satisficing method for multiobjective stochastic linear programming problems using a fractile criterion model
Author :
Sakawa, M. ; Katagiri, H. ; Kato, K.
Author_Institution :
Dept. of Artificial Complex Syst. Eng., Hiroshima Univ., Japan
Abstract :
In this paper, we deal with a multiobjective stochastic linear programming problem using a fractile criterion model. The problem is to optimize the aspiration level for the objective function under the chance constraint with respect to the objective function. After introducing fuzzy goals, in order to obtain a satisficing solution of the decision maker, we propose an interactive fuzzy satisficing method based on the reference point method.
Keywords :
decision theory; linear programming; management science; operations research; stochastic programming; fractile criterion model; fuzzy goals; fuzzy satisficing method; interactive decision making; linear programming; multiobjective programming; objective function; stochastic programming; Constraint optimization; Costs; Decision making; Fuzzy systems; Linear programming; Mathematical programming; Production; Random variables; Stochastic processes; Stochastic systems;
Conference_Titel :
Fuzzy Systems, 2001. The 10th IEEE International Conference on
Conference_Location :
Melbourne, Victoria, Australia
Print_ISBN :
0-7803-7293-X
DOI :
10.1109/FUZZ.2001.1009113
