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Information Journal Paper

Title

SOLUTIONS OF FUZZY LINEAR SYSTEMS USING RANKING FUNCTION

Pages

  67-75

Abstract

 In this work, we propose an approach for computing the compromised solution of an LR FUZZY LINEAR SYSTEM by using of a RANKING FUNCTION when the coefficient matrix is a crisp m´n matrix. To do this, we use EXPECTED INTERVAL to find an LR fuzzy vector, X~, such that the vector Â(AX~) has the least distance from Â(b~) in 1-norm and the 1-cut of X~ satisfies the crisp linear system AX=b. Then, we solve the constrained LP-problem by using LINGO 11 software package and obtain optimal FUZZY NUMBER SOLUTION. Finally, we illustrate the proposed method by solving two numerical examples.

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    APA: Copy

    JAHANTIGH, M.A., KHEZERLOO, S., HOSSEINZADEH, A.A., & KHEZERLOO, M.. (2012). SOLUTIONS OF FUZZY LINEAR SYSTEMS USING RANKING FUNCTION. INTERNATIONAL JOURNAL OF APPLIED OPERATIONAL RESEARCH, 2(2), 67-75. SID. https://sid.ir/paper/571928/en

    Vancouver: Copy

    JAHANTIGH M.A., KHEZERLOO S., HOSSEINZADEH A.A., KHEZERLOO M.. SOLUTIONS OF FUZZY LINEAR SYSTEMS USING RANKING FUNCTION. INTERNATIONAL JOURNAL OF APPLIED OPERATIONAL RESEARCH[Internet]. 2012;2(2):67-75. Available from: https://sid.ir/paper/571928/en

    IEEE: Copy

    M.A. JAHANTIGH, S. KHEZERLOO, A.A. HOSSEINZADEH, and M. KHEZERLOO, “SOLUTIONS OF FUZZY LINEAR SYSTEMS USING RANKING FUNCTION,” INTERNATIONAL JOURNAL OF APPLIED OPERATIONAL RESEARCH, vol. 2, no. 2, pp. 67–75, 2012, [Online]. Available: https://sid.ir/paper/571928/en

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