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Information Journal Paper

Title

LINEAR OPTIMIZATION OF FUZZY RELATION INEQUALITIES WITH MAX-LUKASIEWICZ ‎COMPOSITION

Pages

  129-138

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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    Cite

    APA: Copy

    SHIVANIAN, E.. (2015). LINEAR OPTIMIZATION OF FUZZY RELATION INEQUALITIES WITH MAX-LUKASIEWICZ ‎COMPOSITION. INTERNATIONAL JOURNAL OF INDUSTRIAL MATHEMATICS, 7(2), 129-138. SID. https://sid.ir/paper/231767/en

    Vancouver: Copy

    SHIVANIAN E.. LINEAR OPTIMIZATION OF FUZZY RELATION INEQUALITIES WITH MAX-LUKASIEWICZ ‎COMPOSITION. INTERNATIONAL JOURNAL OF INDUSTRIAL MATHEMATICS[Internet]. 2015;7(2):129-138. Available from: https://sid.ir/paper/231767/en

    IEEE: Copy

    E. SHIVANIAN, “LINEAR OPTIMIZATION OF FUZZY RELATION INEQUALITIES WITH MAX-LUKASIEWICZ ‎COMPOSITION,” INTERNATIONAL JOURNAL OF INDUSTRIAL MATHEMATICS, vol. 7, no. 2, pp. 129–138, 2015, [Online]. Available: https://sid.ir/paper/231767/en

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