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首页> 外文期刊>International Journal of Uncertainty, Fuzziness, and Knowledge-based Systems >ENTUITIONISTIC FUZZY DENSITY-BASED AGGREGATION OPERATORS AND THEIR APPLICATIONS TO GROUP DECISION MAKING WITH INTUITIONISTIC PREFERENCE RELATIONS
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ENTUITIONISTIC FUZZY DENSITY-BASED AGGREGATION OPERATORS AND THEIR APPLICATIONS TO GROUP DECISION MAKING WITH INTUITIONISTIC PREFERENCE RELATIONS

机译：基于熵模糊密度的聚集算子及其在具有固有偏好关系的群决策中的应用

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摘要

In fuzzy environments, some operators have been developed for aggregating intuitionistic fuzzy information which is expressed in pairs of the membership degrees and the non-membership degrees. However, the existing intuitionistic fuzzy aggregation operators cannot consider and reflect the density of intuitionistic fuzzy information distribution. To solve the issue, in this paper, we first develop some intuitionistic fuzzy density-based aggregation operators. Then by combining the developed operators with the existing intuitionistic fuzzy aggregation operators, we put forward some synthesized intuitionistic fuzzy aggregation operators. Furthermore, we utilize the synthesized intuitionistic fuzzy aggregation operators to develop an approach to group decision making based on intuitionistic preference relations, and illustrate our approach with a practical example of the evaluation of new medicines.
机译：在模糊环境中，已经开发了一些运算符，用于聚合以隶属度和非隶属度成对表示的直觉模糊信息。但是，现有的直觉模糊集合算子不能考虑和反映直觉模糊信息分布的密度。为了解决这个问题，本文首先开发了一些基于直觉的基于模糊密度的聚合算子。然后通过将已开发的算子与现有的直觉模糊集合算子相结合，提出了一些综合的直觉模糊集合算子。此外，我们利用合成的直觉模糊聚合算子开发出一种基于直觉偏好关系的群体决策方法，并以评估新药的实际例子来说明我们的方法。

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