Bulanık Çok Yanıtlı Deneyler İçin Bulanık Pareto Çözüm Kümesinin Bulanık İlişkiye Dayalı Sınıflandırma Yaklaşımı İle Değerlendirilmesi

Authors : Özlem Türkşen, Ayşen Apaydın

Pages : 75-84

Doi:10.16984/saufbed.42283

View : 16 | Download : 6

Publication Date : 2013-04-01

Article Type : Research Paper

Abstract :The solution set of a multi-response experiment is characterized by Pareto solution set. In this paper, the multi-response experiment is dealed in a fuzzy framework. The responses and model parameters are considered as triangular fuzzy numbers which indicate the uncertainty of the data set. Fuzzy least square approach and fuzzy modified NSGA-II insert ignore into journalissuearticles values(FNSGA-II); are used for modeling and optimization, respectively. The obtained fuzzy Pareto solution set is grouped by using fuzzy relational clustering approach. Therefore, it could be easier to choose the alternative solutions to make better decision. A fuzzy response valued real data set is used as an application.
Keywords : Bulanık çok yanıtlı problem, bulanık modelleme, bulanık BSGA II, bulanık Pareto çözüm kümesi, bulanık ilişkili sınıflandırma