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Cites:

Information Journal Paper

Title

COMPUTING THE OPTIMAL SOLUTION OF TECHNOLOGY SELECTION MODEL WITH FUZZY DATA

Pages

  59-76

Abstract

 This paper introduces a method to find the optimal solution of TECHNOLOGY SELECTION model with fuzzy data. The paper suggests a simple computational method to obtain the optimal solution of fuzzy linear programming (LP) problem used in TECHNOLOGY SELECTION without the need for solving any fuzzy LP. Clearly the contribution of this research is that it reduces the fuzzy COMPUTATIONAL COMPLEXITY, which is significant when dealing with more complex computations.

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  • Cite

    APA: Copy

    DANESHVAR, S., & KHOUSHFETRAT, S.. (2010). COMPUTING THE OPTIMAL SOLUTION OF TECHNOLOGY SELECTION MODEL WITH FUZZY DATA. PRODUCTIVITY MANAGEMENT (BEYOND MANAGEMENT), 3(11), 59-76. SID. https://sid.ir/paper/181977/en

    Vancouver: Copy

    DANESHVAR S., KHOUSHFETRAT S.. COMPUTING THE OPTIMAL SOLUTION OF TECHNOLOGY SELECTION MODEL WITH FUZZY DATA. PRODUCTIVITY MANAGEMENT (BEYOND MANAGEMENT)[Internet]. 2010;3(11):59-76. Available from: https://sid.ir/paper/181977/en

    IEEE: Copy

    S. DANESHVAR, and S. KHOUSHFETRAT, “COMPUTING THE OPTIMAL SOLUTION OF TECHNOLOGY SELECTION MODEL WITH FUZZY DATA,” PRODUCTIVITY MANAGEMENT (BEYOND MANAGEMENT), vol. 3, no. 11, pp. 59–76, 2010, [Online]. Available: https://sid.ir/paper/181977/en

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