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首页> 外文期刊>Journal of Intelligent Systems >A Multicriteria Interval-Valued Intuitionistic Fuzzy Set TOPSIS Decision-Making Approach Based on the Improved Score Function
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A Multicriteria Interval-Valued Intuitionistic Fuzzy Set TOPSIS Decision-Making Approach Based on the Improved Score Function

机译：基于改进得分函数的多准则区间直觉模糊集TOPSIS决策方法

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摘要

In this paper, an improved technique for order preference by similarity to an ideal solution (TOPSIS) method was proposed based on completely unknown attribute weight information, as well as taking multiple criteria decision making of interval-valued intuitionistic fuzzy number as the evaluation information. First of all, a cumulative interval score function considering the influence of hesitation as well as a cumulative score function containing the risk preference of the decision maker were constructed. Then, a new information entropy function was constructed by using the newly defined score function, which presents a new method that directly utilizes evaluation information to obtain criterion weight. Next, all schemes were sequenced by virtue of relative closeness and the criterion weight of each alternative and ideal scheme. Finally, the effectiveness of the proposed method was illustrated by comparison with examples.
机译：本文基于完全未知的属性权重信息，并以区间直觉模糊数的多准则决策作为评估信息，提出了一种与理想解相似的排序偏好改进技术。首先，构建了考虑犹豫影响的累积间隔得分函数以及包含决策者风险偏好的累积得分函数。然后，使用新定义的得分函数构造了一个新的信息熵函数，提出了一种直接利用评估信息获取标准权重的新方法。接下来，所有方案都通过相对亲密性以及每个替代方案和理想方案的标准权重进行排序。最后，通过实例比较说明了该方法的有效性。

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