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An improved TODIM method based on the hesitant fuzzy psychological distance measure
International Journal of Machine Learning and Cybernetics ( IF 5.6 ) Pub Date : 2020-10-01 , DOI: 10.1007/s13042-020-01215-2
Chenyang Song , Zeshui Xu , Jian Hou

The distance measure plays an important role in the hesitant fuzzy theory. Experts always focus on the attributes aggregation of hesitant fuzzy information, ignoring the preference relationships between alternatives. Therefore, it is necessary to consider the competition effect between alternatives and develop a more suitable distance measure. Considering the background information of the connections and competitive relationships between different alternatives, the hesitant fuzzy psychological distance measure is proposed. Based on which, a novel similarity measure for hesitant fuzzy information is also developed. Next, an improved TODIM based on the hesitant fuzzy psychological distance measure is proposed for decision making problems. At last but not least, we apply the proposed improved TODIM to the application of the temporary rescue airport decision making problem of the Arctic Northwest Passage. The results demonstrate the advantages of the proposed method in decision making under the hesitant fuzzy environment.



中文翻译:

基于犹豫模糊心理距离测度的改进TODIM方法

距离量度在犹豫的模糊理论中起着重要的作用。专家始终专注于犹豫的模糊信息的属性聚合,而忽略了替代方案之间的偏好关系。因此,有必要考虑替代方案之间的竞争效应并制定更合适的距离度量。考虑到不同选择之间的联系和竞争关系的背景信息,提出了犹豫的模糊心理距离度量。在此基础上,还提出了一种新的犹豫模糊信息相似度度量方法。接下来,提出了一种基于犹豫模糊心理距离测度的改进TODIM,用于决策问题。最后但并非不重要,我们将提出的改进的TODIM应用于北极西北航道的临时救援机场决策问题。结果证明了该方法在犹豫模糊环境下决策的优势。

更新日期:2020-10-02
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