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Title

FUZZY DECISION-MAKING: A NEW METHOD IN MODEL SELECTION VIA VARIOUS VALIDITY CRITERIA

Pages

  449-462

Abstract

MODELING is considered as the first step in scientific investigations. Several alternative models may be candidated to express a phenomenon. Scientists use various criteria to select one model between the competing models. Based on the solution of a FUZZY DECISION-MAKING (FDM) problem, this paper proposes a new method in MODEL SELECTION. The method enables the scientist to apply all desired validity criteria, Including both statistical and visual, even linguistic criteria, systematically by defining a proper Possibility Dititribution Function (PDF) due to each criterion. Finally, minimization of a utility function composed of the PDFs will determine the best selection. The method is illustrated through a MODELING example for the "Average Daily Time Duration of Electrical Energy Consumption in Iran

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    APA: Copy

    SHAKOURI G, H., & NIK RAVESH, S.K.Y.. (2001). FUZZY DECISION-MAKING: A NEW METHOD IN MODEL SELECTION VIA VARIOUS VALIDITY CRITERIA. AMIRKABIR, 12(48), 449-462. SID. https://sid.ir/paper/532324/en

    Vancouver: Copy

    SHAKOURI G H., NIK RAVESH S.K.Y.. FUZZY DECISION-MAKING: A NEW METHOD IN MODEL SELECTION VIA VARIOUS VALIDITY CRITERIA. AMIRKABIR[Internet]. 2001;12(48):449-462. Available from: https://sid.ir/paper/532324/en

    IEEE: Copy

    H. SHAKOURI G, and S.K.Y. NIK RAVESH, “FUZZY DECISION-MAKING: A NEW METHOD IN MODEL SELECTION VIA VARIOUS VALIDITY CRITERIA,” AMIRKABIR, vol. 12, no. 48, pp. 449–462, 2001, [Online]. Available: https://sid.ir/paper/532324/en

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