DocumentCode
1979238
Title
Multi-objective geometric programming with T-fuzzy variables
Author
Bing-yuan, Cao
Author_Institution
Inst. of Math., Shantou Univ., China
fYear
2003
fDate
24-26 July 2003
Firstpage
456
Lastpage
461
Abstract
On the introduction of the definition and properties of the variables, T-fuzzy variables are drawn into a geometric programming model before a multi-objective geometric programming with the variables is built. The programming is determined on the condition that the variables are handled in a non-fuzzification way. Besides the programming is changed into an ordinary geometric programming dependent on the cone index J before a dual form is acquired corresponding to the primal posynomial geometric programming with T-fuzzy variables. Therefore lots of results concerning geometric programming can be completely transplanted. Based on this, the author first discuses a dual problem. Then he elicits the relation between the primal posynomial geometric programming with T-fuzzy variables and its dual form. Third he develops primal and dual algorithms to the programming. And final he verifies the model and algorithms through numerical examples.
Keywords
duality (mathematics); fuzzy set theory; geometric programming; polynomials; T-fuzzy variables; dual algorithms; fuzzy set theory; multiobjective geometric programming; nonfuzzification method; primal algorithms; primal polynomial geometric programming; Fuzzy set theory; Fuzzy sets; Linear programming; Mathematical model; Mathematical programming; Mathematics; Partitioning algorithms; Solid modeling; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Information Processing Society, 2003. NAFIPS 2003. 22nd International Conference of the North American
Print_ISBN
0-7803-7918-7
Type
conf
DOI
10.1109/NAFIPS.2003.1226828
Filename
1226828
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