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 r...
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| Format: | Thesis |
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2014-06.
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| Online Access: | Get fulltext |