Monomial geometric programming with fuzzy relation equation constraints |
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Authors: | Jihui Yang Bingyuan Cao |
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Institution: | (1) Shenyang Artillery College Shenyang, Liaoning, 110161, China;(2) School of Mathematics and Information Science, Guangzhou University, Guangzhou, Guangdong, 510006, China;(3) Present address: College of Land and Environment Shenyang Agricultural University, Shenyang, Liaoning, 110161, China |
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Abstract: | Monomials are widely used. They are basic structural units of geometric programming. In the process of optimization, many
objective functions can be denoted by monomials. We can often see them in resource allocation and structure optimization and
technology management, etc. Fuzzy relation equations are important elements of fuzzy mathematics, and they have recently been
widely applied in fuzzy comprehensive evaluation and cybernetics. In view of the importance of monomial functions and fuzzy
relation equations, we present a fuzzy relation geometric programming model with a monomial objective function subject to
the fuzzy relation equation constraints, and develop an algorithm to find an optimal solution based on the structure of the
solution set of fuzzy relation equations. Two numerical examples are given to verify the developed algorithm. Our numerical
results show that the algorithm is feasible and effective. |
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Keywords: | Monomial optimization Fuzzy relation equation Fuzzy relation geometric programming |
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