linear optimization of fuzzy relation inequalities with max-lukasiewicz composition
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abstract
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.
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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 ...
full textLinear 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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Journal title:
international journal of industrial mathematicsPublisher: science and research branch, islamic azad university, tehran, iran
ISSN 2008-5621
volume 7
issue 2 2015
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