Solving fuzzy relation equations with a linear objective function
An optimization model with a linear objective function subject to a system of fuzzy relation equations is presented. Due to the non-convexity of its feasible domain defined by fuzzy relation equations, designing an efficient solution procedure for solving such problems is not a trivial job. In this...
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| Published in: | Fuzzy sets and systems Vol. 103; no. 1; pp. 107 - 113 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Amsterdam
Elsevier B.V
01.04.1999
Elsevier |
| Subjects: | |
| ISSN: | 0165-0114, 1872-6801 |
| Online Access: | Get full text |
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| Abstract | An optimization model with a linear objective function subject to a system of fuzzy relation equations is presented. Due to the non-convexity of its feasible domain defined by fuzzy relation equations, designing an efficient solution procedure for solving such problems is not a trivial job. In this paper, we first characterize the feasible domain and then convert the problem to an equivalent problem involving 0–1 integer programming with a branch-and-bound solution technique. After presenting our solution procedure, a concrete example is included for illustration purpose. |
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| AbstractList | An optimization model with a linear objective function subject to a system of fuzzy relation equations is presented. Due to the non-convexity of its feasible domain defined by fuzzy relation equations, designing an efficient solution procedure for solving such problems is not a trivial job. In this paper, we first characterize the feasible domain and then convert the problem to an equivalent problem involving 0–1 integer programming with a branch-and-bound solution technique. After presenting our solution procedure, a concrete example is included for illustration purpose. |
| Author | Fang, Shu-Cherng Li, Guangzhi |
| Author_xml | – sequence: 1 givenname: Shu-Cherng surname: Fang fullname: Fang, Shu-Cherng – sequence: 2 givenname: Guangzhi surname: Li fullname: Li, Guangzhi |
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| Keywords | Fuzzy relation equations Integer programming Branch-and-bound method Branch and bound method Optimization method Fuzzy relation Convexity Objective function Algorithm |
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| SubjectTerms | Applied sciences Artificial intelligence Branch-and-bound method Computer science; control theory; systems Exact sciences and technology Fuzzy relation equations Integer programming Mathematical programming Operational research and scientific management Operational research. Management science Problem solving, game playing |
| Title | Solving fuzzy relation equations with a linear objective function |
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