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Iranian Journal of Fuzzy Systems، جلد ۲۰، شماره ۲، صفحات ۱-۲۰
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عنوان انگلیسی Linear optimization problem subjected to fuzzy relational equations and fuzzy constraints
چکیده انگلیسی مقاله In this paper, we introduce a new optimization problem with respect to a generalized form of fuzzy relational equations (FRE) in which fuzzy equality replaces ordinary equality in the constraints (FRE-FC). Fuzzy constraints enable us to attain optimal points (called super-optima in this paper) that are better solutions than those resulted from the resolution of the similar problems with ordinary equality constraints. Some structural properties of the FRE-FC problems are studied and a new formulation is presented in which the fuzzy constraints (equations) are precisely modeled. Subsequently, a new PSO-based algorithm is proposed to solve the FRE-FC problems defined by arbitrary continuous t-norms. The proposed algorithm is tested with different test problems generated by ten well-known continuous t-norms used in the literature. Moreover, the generated solutions for these problems, are also compared with some well-known meta-heuristic methods which have been applied to many practical optimization problems. It is shown that the optimal intensity of electromagnetic radiation problem can be formed as a special case of FRE-FC problems in which fuzzy composition is defied by max-product composition.
کلیدواژه‌های انگلیسی مقاله Fuzzy relational equations, Fuzzy constraints, continuous t-norms, linear optimization, PSO Algorithm
نویسندگان مقاله A. Ghodousian |
School of Engineering Science, College of Engineering, University of Tehran, Tehran, Iran

F. S. Yousefi |
School of Engineering Science, College of Engineering, University of Tehran, Tehran, Iran

نشانی اینترنتی https://ijfs.usb.ac.ir/article_7552_2a091f2d664bc0af65d65317afb49632.pdf
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