不确定视角下改进TOPSIS法的工程评标模型研究
发布时间：2018-10-30 19:29
【摘要】：评标质量决定中标者与招标项目的契合程度,但受经验知识和主观判断等影响,定性指标的量化过程易带有主观模糊性,从而影响结果准确度。为减少模糊因素对评标结果的负作用,引入Z-number模糊数识别定性指标的不确定性,依据熵值原理客观确定评标指标及评标专家权重,TOPSIS法集成指标值,构建基于Z-number理论的改进TOPSIS法评标模型。结果表明,提议方法不仅能明晰度量定性指标值本身的模糊程度,还实现了指标值不确定性的针对化削减。同时,在有效避免主观赋权带来的不确定性基础上,该方法也克服了指标间的不可公度性。通过示例分析与敏感性分析验证了模型的实效性与稳定性。
[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.
【作者单位】： 桂林电子科技大学商学院;
【基金】：广西自治区专项资金课题(14953-5)
【分类号】：TV512
本文编号：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.
【作者单位】： 桂林电子科技大学商学院;
【基金】：广西自治区专项资金课题(14953-5)
【分类号】：TV512
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