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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| フォーマット: | 学位論文 |
| 言語: | 英語 |
| 出版事項: |
2014
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| 主題: | |
| オンライン･アクセス: | http://eprints.utm.my/53761/25/GanSiewLingMFS2014.pdf |