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...
| मुख्य लेखक: | Gan, Siew Ling |
|---|---|
| स्वरूप: | थीसिस |
| भाषा: | अंग्रेज़ी |
| प्रकाशित: |
2014
|
| विषय: | |
| ऑनलाइन पहुंच: | http://eprints.utm.my/53761/25/GanSiewLingMFS2014.pdf |
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समान संसाधन
-
Defuzzification of groups of fuzzy numbers using data envelopment analysis
द्वारा: Al-Ogaidi, Jehan Saleh Ahmed
प्रकाशित: (2016) -
Stochastic Runge-Kutta method for stochastic delay differential equations
द्वारा: Norhayati, Rosli
प्रकाशित: (2012) -
Stochastic Runge-Kutta method for stochastic delay differential equations
द्वारा: Rosli, Norhayati
प्रकाशित: (2012) -
Fifth-stage stochastic runge-kutta method for stochastic differential equations
द्वारा: Noor Amalina Nisa, Ariffin
प्रकाशित: (2018) -
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द्वारा: Lim, Rui Sih
प्रकाशित: (2020)