Evaluation of optimum FRP trawler type using symmetrical fuzzy collaborative optimization

In the practice of evaluation of optimum FRP trawler type, DM has to face multi disciplines and lots of uncertain or fuzzy parameters. This paper proposes the use of symmetrical fuzzy collaborative optimization model, and the traditional ship type evaluation model is decomposed into three subsystems, i.e., technological, economy and decision-making computation discipline. The fuzzy cut level optimized by system level can be as share variable for different discipline. In each discipline, the relative experts belongs to different disciplines may construct the mathematical model, independently, which guarantees the evaluation of trawler type possesses the distributive and parallel optimization factors and more efficient fuzzy processing ability.