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Some New Computational Methods To Solve Dual Fully Fuzzy Linear System Of Arbitrary Triangular Fuzzy Numbers

Author

Listed:
  • AMIT KUMAR

    (School of Mathematics and Computer Applications, Thapar University, Patiala-147 004, India)

  • BABBAR NEETU

    (School of Mathematics and Computer Applications, Thapar University, Patiala-147 004, India)

  • ABHINAV BANSAL

    (Computer Science and Engineering Department, Thapar University, Patiala-147 004, India)

Abstract

In this paper, we discuss two new computational techniques for solving a generalized fully fuzzy linear system (FFLS) with arbitrary triangular fuzzy numbers(m,α,β). The methods eliminate the non-negative restriction on the fuzzy coefficient matrix that has been considered by almost every method in the literature and relies on the decomposition of the dual FFLS into a crisp linear system that can be further solved by a variety of classical methods. To illustrate the proposed methods, numerical examples are solved and the obtained results are discussed. The methods pose several advantages over the existing methods to solve a simple or dual FFLS.

Suggested Citation

  • Amit Kumar & Babbar Neetu & Abhinav Bansal, 2013. "Some New Computational Methods To Solve Dual Fully Fuzzy Linear System Of Arbitrary Triangular Fuzzy Numbers," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 9(01), pages 13-26.
    • Handle: RePEc:wsi:nmncxx:v:09:y:2013:i:01:n:s1793005713500026
    DOI: 10.1142/S1793005713500026
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