Authors:
Hitoshi Yano
1
and
Masatoshi Sakawa
2
Affiliations:
1
Nagoya City University, Japan
;
2
Hiroshima University, Japan
Keyword(s):
Fuzzy Random Variable, A Probability Maximization Model, A Fractile Criterion Optimization Model, Satisfactory Solution, Interactive Decision Making.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Computational Intelligence
;
Fuzzy Systems
;
Soft Computing
;
Soft Computing and Intelligent Agents
Abstract:
In this paper, we propose an interactive fuzzy decision making method for multiobjective fuzzy random linear programming problems (MOFRLP), in which the criteria of probability maximization and fractile optimization are considered simultaneously. In the proposed method, it is assumed that the decision maker has fuzzy goals for not only objective functions of MOFRLP but also permissible probability levels in a fractile optimization model for MOFRLP, and such fuzzy goals are quantified by eliciting the corresponding membership functions. Using the fuzzy decision, such two kinds of membership functions are integrated. In the integrated membership space, the satisfactory solution is obtained from among a Pareto optimal solution set through the interaction with the decision maker.