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首页> 外文期刊>International Journal of Enterprise Information Systems >A Multi-Attribute Decision-Making Model Using Interval-Valued Intuitionistic Fuzzy Numbers and Attribute Correlation
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A Multi-Attribute Decision-Making Model Using Interval-Valued Intuitionistic Fuzzy Numbers and Attribute Correlation

机译：一种使用间隔value的直觉模糊数和属性相关性的多属性决策模型

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>This article describes a decision analysis method with attribute correlation and attribute values of interval-valued intuitionistic fuzzy numbers (IVIFN). This considers the correlation between attributes and undetermined attribute weight information was put forward against the case where solution attribute values are interval-valued intuitionistic fuzzy numbers. To achieve a comprehensive consideration of the undetermined evaluation attribute weight information, experts' positive and negative ideal solutions against each attribute are taken as reference points, attribute weight is obtained via decision making trial and evaluation laboratory (DEMATEL) method according to the direct relation matrix provided by experts against attribute sets. On this basis, evaluation information is aggregated by using weighted arithmetic average operators. Then, the closeness degree formula of interval-valued intuitionistic fuzzy numbers relative to the maximum IVIFN is provided by combining the Euclidean distance of IVIFN, thus determining closeness degree and making an ordering of all solutions. Finally, the feasibility and validity of the method proposed in this study are verified via a case analysis of the best information system decision-making.
机译：本文介绍了一个具有属性相关性的决策分析方法，属性相关性和间隔的直觉模糊数字（IVIFN）的属性值。这考虑了属性与未确定属性之间的相关性，对解决方案属性值是间隔valization的模糊数字的情况提出。为了实现对未确定评估属性权重信息的全面考虑，专家对每个属性的实验性和负面理想解决方案被视为参考点，通过决策试验和评估实验室（Dematel）方法获得属性权重，根据直接关系矩阵由专家对属性集提供。在此基础上，通过使用加权算术平均运算符来聚合评估信息。然后，通过组合IVIFN的欧几里德距离来提供相对于最大IVIFN的间隔值的直觉模糊数的近度度公式，从而确定近距离并对所有解决方案进行排序。最后，通过对最佳信息系统决策的情况分析来验证本研究中提出的方法的可行性和有效性。

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