Interactive fuzzy programming for two-level 0-1 programming problems with fuzzy parameters through genetic algorithms

摘要

In this paper, an interactive fuzzy programming method using genetic algorithms has been proposed for two-level 0-1 programming problems with fuzzy parame- ters. According to the proposed technique, the decision maker in each level established his fuzzy goals related to the objective functions, using linear membership functions. After that, he upper level decision maker establishes, sub- Jectively, the minimal acceptable degree of the degree of Satisfaction for the membership function and, simultane- Ously, considers, the radio of satisfaction degrees between The levels; if necessary, the decision maker updates his Minimal acceptability degree interatively.