Comparison of defuzzification methods for fuzzy stochastic linear programming

The present study focused on comparison of three defuzzification methods in transforming fuzzy two-stage stochastic linear programming problem into a crisp problem. The fuzzy transformation techniques that utilized in this study were Yager’s robust ranking method, generalized mean integration repres...

書誌詳細
第一著者:	Gan, Siew Ling
フォーマット:	学位論文
言語:	英語
出版事項:	2014
主題:	QA Mathematics
オンライン･アクセス:	http://eprints.utm.my/53761/25/GanSiewLingMFS2014.pdf

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