Enhanced Two-Step Method via Relaxed Order of -Satisfactory Degrees for Fuzzy Multiobjective Optimization

摘要: An enhanced two-step method via relaxed order of satisfactory degrees for fuzzy multiobjective optimization is proposed in this paper. By introducing the concept numbers and -level set theory, parameters are taken as variables, all objectives transformed into goals involving three relations. The -satisfactory which means with higher priority achieving degree applied to model preemptive requirement. This strict constraint by variable find preferred solution satisfying priority. original problem divided two steps be solved iteratively. M--Pareto optimality ensured, can acquired regulating slack parameter or changing . numerical examples demonstrate power method.