linear optimization of fuzzy relation inequalities with max-lukasiewicz composition
نویسندگان
چکیده
in this paper, we study the finitely many constraints of fuzzy relation inequalities problem and optimize the linear objective function on this region which is defined with fuzzy max-lukasiewicz operator. in fact lukasiewicz t-norm is one of the four basic t-norms. a new simplification technique is given to accelerate the resolution of the problem by removing the components having no effect on the solution process. also, an algorithm and one numerical example are offered to abbreviate and illustrate the steps of the problem resolution process.
منابع مشابه
Linear optimization of fuzzy relation inequalities with max-Lukasiewicz composition
In this paper, we study the finitely many constraints of fuzzy relation inequalities problem and optimize the linear objective function on this region which is defined with fuzzy max-Lukasiewicz operator. In fact Lukasiewicz t-norm is one of the four basic t-norms. A new simplification technique is given to accelerate the resolution of the problem by removing the components having no effect on ...
متن کاملLinear optimization of fuzzy relation inequalities with max-Lukasiewicz composition
In this paper, we study the finitely many constraints of fuzzy relation inequalities problem and optimize the linear objective function on this region which is defined with fuzzy max-Lukasiewicz operator. In fact Lukasiewicz t-norm is one of the four basic t-norms. A new simplification technique is given to accelerate the resolution of the problem by removing the components having no effect on ...
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عنوان ژورنال:
international journal of industrial mathematicsناشر: science and research branch, islamic azad university, tehran, iran
ISSN 2008-5621
دوره 7
شماره 2 2015
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