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Information Journal Paper

Title

EXACT AND APPROXIMATE SOLUTIONS OF FUZZY LR LINEARSYSTEMS: NEW ALGORITHMS USING A LEAST SQUARES MODEL AND THE ABS APPROACH

Pages

  1-18

Abstract

 We present a methodology for characterization and an approach for computing the solutions of FUZZY LINEAR SYSTEMs with LR fuzzy variables, As solutions, notions of exact and approximate solutions are considered. We transform the FUZZY LINEAR SYSTEM into a corresponding linear crisp system and a constrained least squares problem. If the corresponding crisp system is incompatible, then the fuzzy LR system lacks exact solutions. vVe show that the fuzzy LR system has an exact solution if and only if the corresponding crisp system is compatible (has a solntion) and the solution of the corresponding least squares problem is equal to zero. In this case, the exact solution is determined by the solutions of the two corresponding problems. On the other hand, if the corresponding crisp system is compatible and the optimal value of the corresponding constrained least squares problem is nonzero, then we characterize approximate solutions of the fuzzy system by solution of the least squares problem. Also, we characterize solutions by defining an appropriate membership function so that an exact solution is a fuzzy LR vector having the membership function value equal to one and, when an exact solution does not exist, an approximate solution is a fuzzy LR vector with a maximal membership function value. We propose a class of algorithms based on ABS ALGORITHM for solving the LR fuzzy systems, the proposed algorithms can also be used to solve the extended dual FUZZY LINEAR SYSTEMs, and finally, we show that, when the system has more than one solution, the proposed algorithms are flexible enough to compute special solutions of interest. Several examples are worked out to demonstrate the various possible scenarios for the solutions of fuzzy LR linear systems.

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    • Cite

    APA: Copy

    GHANBARI, R., MAHDAVI AMIRI, N., & YOUSEFPOUR, R.A.. (2010). EXACT AND APPROXIMATE SOLUTIONS OF FUZZY LR LINEARSYSTEMS: NEW ALGORITHMS USING A LEAST SQUARES MODEL AND THE ABS APPROACH. IRANIAN JOURNAL OF FUZZY SYSTEMS, 7(2), 1-18. SID. https://sid.ir/paper/581664/en

    Vancouver: Copy

    GHANBARI R., MAHDAVI AMIRI N., YOUSEFPOUR R.A.. EXACT AND APPROXIMATE SOLUTIONS OF FUZZY LR LINEARSYSTEMS: NEW ALGORITHMS USING A LEAST SQUARES MODEL AND THE ABS APPROACH. IRANIAN JOURNAL OF FUZZY SYSTEMS[Internet]. 2010;7(2):1-18. Available from: https://sid.ir/paper/581664/en

    IEEE: Copy

    R. GHANBARI, N. MAHDAVI AMIRI, and R.A. YOUSEFPOUR, “EXACT AND APPROXIMATE SOLUTIONS OF FUZZY LR LINEARSYSTEMS: NEW ALGORITHMS USING A LEAST SQUARES MODEL AND THE ABS APPROACH,” IRANIAN JOURNAL OF FUZZY SYSTEMS, vol. 7, no. 2, pp. 1–18, 2010, [Online]. Available: https://sid.ir/paper/581664/en

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