不確定視角下改進TOPSIS法的工程評標模型研究
發(fā)布時間:2018-10-30 19:29
【摘要】:評標質(zhì)量決定中標者與招標項目的契合程度,但受經(jīng)驗知識和主觀判斷等影響,定性指標的量化過程易帶有主觀模糊性,從而影響結(jié)果準確度。為減少模糊因素對評標結(jié)果的負作用,引入Z-number模糊數(shù)識別定性指標的不確定性,依據(jù)熵值原理客觀確定評標指標及評標專家權重,TOPSIS法集成指標值,構建基于Z-number理論的改進TOPSIS法評標模型。結(jié)果表明,提議方法不僅能明晰度量定性指標值本身的模糊程度,還實現(xiàn)了指標值不確定性的針對化削減。同時,在有效避免主觀賦權帶來的不確定性基礎上,該方法也克服了指標間的不可公度性。通過示例分析與敏感性分析驗證了模型的實效性與穩(wěn)定性。
[Abstract]:The quality of bid evaluation determines the degree of conformity between the winning bidder and the bidding project, but affected by the experience knowledge and subjective judgment, the quantitative process of qualitative index is easy to have subjective ambiguity, thus affecting the accuracy of the result. In order to reduce the negative effect of fuzzy factors on the evaluation result, the uncertainty of qualitative index of Z-number fuzzy number identification is introduced. According to the entropy principle, the evaluation index and expert weight are objectively determined, and the TOPSIS method integrates the index value. An improved TOPSIS bidding evaluation model based on Z-number theory is constructed. The results show that the proposed method can not only clearly measure the ambiguity of the qualitative index value itself, but also realize the target reduction of the uncertainty of the index value. At the same time, on the basis of effectively avoiding the uncertainty brought by subjective weighting, the method also overcomes the incompatibilities among indicators. The effectiveness and stability of the model are verified by example analysis and sensitivity analysis.
【作者單位】: 桂林電子科技大學商學院;
【基金】:廣西自治區(qū)專項資金課題(14953-5)
【分類號】:TV512
本文編號:2300943
[Abstract]:The quality of bid evaluation determines the degree of conformity between the winning bidder and the bidding project, but affected by the experience knowledge and subjective judgment, the quantitative process of qualitative index is easy to have subjective ambiguity, thus affecting the accuracy of the result. In order to reduce the negative effect of fuzzy factors on the evaluation result, the uncertainty of qualitative index of Z-number fuzzy number identification is introduced. According to the entropy principle, the evaluation index and expert weight are objectively determined, and the TOPSIS method integrates the index value. An improved TOPSIS bidding evaluation model based on Z-number theory is constructed. The results show that the proposed method can not only clearly measure the ambiguity of the qualitative index value itself, but also realize the target reduction of the uncertainty of the index value. At the same time, on the basis of effectively avoiding the uncertainty brought by subjective weighting, the method also overcomes the incompatibilities among indicators. The effectiveness and stability of the model are verified by example analysis and sensitivity analysis.
【作者單位】: 桂林電子科技大學商學院;
【基金】:廣西自治區(qū)專項資金課題(14953-5)
【分類號】:TV512
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1 陳艷萍;吳鳳平;吳丹;;基于模糊優(yōu)選和TOPSIS法的流域初始水權分配模型[J];河海大學學報(自然科學版);2009年04期
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