DocumentCode
499012
Title
The expected value of perfect information for two-stage random fuzzy programming with recourse
Author
Ming-Fa Zheng ; Xu, Ya-Yi ; Song, Xiu-Chao
Author_Institution
Coll. of Sci., Air Force Eng. Univ., Xi´´an, China
Volume
2
fYear
2009
fDate
12-15 July 2009
Firstpage
849
Lastpage
854
Abstract
Based on random fuzzy theory, this paper presents a new class of two-stage random fuzzy programming model, and gives three solution concepts, which are wait-and-see solution, here and now solution and expected value solution. Since the value of information and uncertainties plays an important role in the studies of uncertainty optimization problem, this paper gives two optimal indexes based on the three solution concepts, called the expected value of perfected information and the value of random fuzzy solution, and discuss their properties in the end.
Keywords
fuzzy set theory; stochastic programming; perfected information expected value; random fuzzy theory; stochastic programming; two-stage random fuzzy programming; uncertainty optimization problem; Cybernetics; Machine learning; Two-stage random fuzzy programming; expected value of perfect information; value of random fuzzy solution; wait-and-see solution;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location
Baoding
Print_ISBN
978-1-4244-3702-3
Electronic_ISBN
978-1-4244-3703-0
Type
conf
DOI
10.1109/ICMLC.2009.5212462
Filename
5212462
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