Title :
An interactive satisficing method for multiobjective random fuzzy programming problems through the possibility-based probability model
Author :
Katagiri, H. ; Sakawa, M. ; Matsui, T.
Author_Institution :
Grad. Sch. of Eng., Hiroshima Univ., Higashi-Hiroshima, Japan
Abstract :
This paper considers multiobjective linear programming problems where each coefficient of the objective functions is expressed by a random fuzzy variable. A new decision making model is proposed in order to maximize both of possibility and probability with respect to the objective function values. An interactive algorithm is constructed to obtain a satisficing solution for a decision maker from among a set of Pareto optimal solutions.
Keywords :
Pareto optimisation; decision making; fuzzy set theory; linear programming; possibility theory; probability; Pareto optimal solutions; decision making model; interactive satisficing method; multiobjective linear programming problems; multiobjective random fuzzy programming problems; objective function values; possibility-based probability model; random fuzzy variable; Decision making; Delta modulation; Fuzzy sets; Pareto optimization; Programming; Random variables; Stochastic processes; interactive algorithm; multiobjective programming; possibility measure; probability maximization; random fuzzy variable;
Conference_Titel :
Fuzzy Systems (FUZZ), 2011 IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-7315-1
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZY.2011.6007441
