Comparison of defuzzification methods for fuzzy stochastic linear programming

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...

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書目詳細資料
主要作者:	Gan, Siew Ling
格式:	Thesis
語言:	English
出版:	2014
主題:	QA Mathematics
在線閱讀:	http://eprints.utm.my/id/eprint/53761/25/GanSiewLingMFS2014.pdf
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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