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A fuzzy TOPSIS model via chi-square test for information source selection

机译：通过卡方检验的模糊TOPSIS模型用于信息源选择

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摘要

The Information Source (IS) selection involves various aspects with different requirements under indeterminate conditions. It is such a complicated process pertaining to seeking for the most appropriate solution that how to resolve the constraint resources needs to be congruously considered. This paper proposes a Multi-Criteria Group Decision Making (MCCDM) model, which uniforms the quantitative and qualitative factual value of different attributes with trapezoidal fuzzy numbers. Analytic Hierarchy Process (AHP) and Entropy Weights (EW) are integrated to alleviate the conflicts by experts' intuitions and provide the accurate weight vector in this model. Besides, the Euclidean Distance (ED) is substituted by the Value of Chi-Square Test{VCST) to refine the Relative Closeness (RC), which theoretically excluded the potential bias arising from relative importance of the two types of distances, in a revised Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS). The optimal recommendation compromises in a social decision making way. Finally, the software named "Evaluator", which is based on the presented model, is illustrated to show how it can be practically used for IS selection with comparative analysis.
机译：在不确定的条件下，信息源（IS）的选择涉及各个方面，具有不同的要求。与寻求最合适的解决方案有关的过程如此复杂，因此需要共同考虑如何解决约束资源。本文提出了一种多准则群决策模型（MCCDM），该模型用梯形模糊数统一了不同属性的定量和定性事实值。集成了层次分析法（AHP）和熵权（EW），以通过专家的直觉缓解冲突，并在此模型中提供准确的权向量。此外，欧氏距离（ED）替换为卡方检验（VCST）的值，以细化相对距离（RC），该距离在理论上排除了由两种距离的相对重要性引起的潜在偏差。类似于理想解决方案的订单偏好技术（TOPSIS）。最佳推荐以社会决策方式折衷。最后，对基于所提出模型的名为“ Evaluator”的软件进行了说明，以展示如何通过比较分析将其实际用于IS选择。

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  • 来源
    《Knowledge-Based Systems》 |2013年第1期|515-527|共13页
  • 作者

    Jing Tian; Dan Yu; Bing Yu; Shilong Ma;

  • 作者单位

    State Key Laboratory of Software Development Environment, Beihang University, No. 37, Xueyuan Road, Haidian District, 100191 Beijing, China;

    State Key Laboratory of Software Development Environment, Beihang University, No. 37, Xueyuan Road, Haidian District, 100191 Beijing, China;

    State Key Laboratory of Software Development Environment, Beihang University, No. 37, Xueyuan Road, Haidian District, 100191 Beijing, China;

    State Key Laboratory of Software Development Environment, Beihang University, No. 37, Xueyuan Road, Haidian District, 100191 Beijing, China;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    trapezoidal fuzzy number; analytic hierarchy process; entropy weights; chi-square test; TOPSIS;

    机译：梯形模糊数层次分析法熵权重卡方检验顶极;

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