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Evaluating Suppliers via a Total Integral Value based Fuzzy MCDM Approach

以總積分值為基之模糊多準則決策模式評選供應商

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摘要


本研究提出以總積分值為基之模糊多準則決策模式來評估供應商,其中每一選項之最後模糊評估值之歸屬函數可以求出且最後模糊評估值之比序程序可以總積分值法清楚推導出公式來有效率的輔助決策。所提模式以三角模糊數表示之語意值來評估主觀準則下各選項之評等及所有準則之重要性權重。本文應用t–值機率來作客觀準則下各選項評估值之正規化。所應用方法將數量準則下之正規化值屬於〔0,1〕區間之性質得以保留。最後本文以一供應商評選的數值例子來驗證所提模式在運算程序之可行性。

並列摘要


This study presents a total integral value based fuzzy multiple criteria decision making (MCDM) approach for evaluating suppliers, where the membership function of the final fuzzy evaluation value of each alternative can be developed and the procedure for ranking these final fuzzy evaluation values can be clearly formulated based on total integral value to facilitate efficient decision making. The suggested approach assesses the ratings of alternatives versus subjective criteria and the importance weights of all criteria using Iinguistic values represented by triangular fuzzy numbers. A method based on t-score probability is suggested to normalize the suitability values of alternatives versus objective criteria. The proposed method preserves the property that the range of normalized values under quantitative criteria belongs to [0,1]. Finally, a numerical example of the evaluation and selection of suppliers is presented to demonstrate the computational process and feasibility of the proposed approach.

參考文獻


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