Title :
Solving Fuzzy Two-Stage Programming Problem with Discrete Fuzzy Vector
Author :
Wang, Sheng-Hua ; Guo, Bao-Hua ; Zhang, Qun-Feng
Author_Institution :
North China Electr. Power Univ., Baoding
Abstract :
The fuzzy two-stage programming problem with discrete fuzzy vector is hard to solve. In this paper, in order to solve this class of model, we design a algorithm by which we solve its deterministic equivalent programming to obtain optimal solution. Finally, two numerical examples are provided for showing the effectiveness of this algorithm.
Keywords :
fuzzy set theory; mathematical programming; deterministic equivalent programming; discrete fuzzy vector; fuzzy two-stage programming problem; Algorithm design and analysis; Bismuth; Cybernetics; Decision making; Fuzzy neural networks; Machine learning; Mathematical model; Mathematical programming; Mathematics; Physics; Fuzzy programming; expected value; fuzzy variable; two-stage;
Conference_Titel :
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-0973-0
Electronic_ISBN :
978-1-4244-0973-0
DOI :
10.1109/ICMLC.2007.4370343
