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Content Provider | IEEE Xplore Digital Library |
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Author | Chenxia Jin Meng Yang Yan Shi Fachao Li |
Copyright Year | 2014 |
Description | Author affiliation: Grad. Sch. of Sci. & Technol., Tokai Univ., Kumamoto, Japan (Yan Shi) || Sch. of Econ. & Manage., Hebei Univ. of Sci. & Technol., Shijiazhuang, China (Chenxia Jin; Fachao Li) || Sch. of Sci., Hebei Univ. of Sci. & Technol., Shijiazhuang, China (Meng Yang) |
Abstract | Fuzzy programming approach has wide application in many fields such as project management, multi-attribute decision making, and comprehensive evaluation. Its solving methods have attracted many attentions. In this paper we present a new approach, based on the genetic algorithm, for dealing with a programming problem with fuzzy-valued objective function and constraints. Firstly, we propose the concept of generalized equilibrium value of fuzzy number, and analyze the properties, further give the operation rules; secondly, we establish a generalized equilibrium value-based fuzzy programming method combined with genetic algorithm; finally, we analyze the characteristic of the above mentioned method through a nonlinear fuzzy programming problems. |
Starting Page | 1219 |
Ending Page | 1225 |
File Size | 3171817 |
Page Count | 7 |
File Format | |
e-ISBN | 9781479920723 |
DOI | 10.1109/FUZZ-IEEE.2014.6891695 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2014-07-06 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Programming Genetic algorithms Decision making Mathematical model Linear programming Educational institutions Uncertainty genetic algorithm fuzzy programming fuzzy number ranking triangular fuzzy number generalized equilibrium value |
Content Type | Text |
Resource Type | Article |
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