Multi-criteria group decision-making method based on einstein power operators, distance measure, additive ratio assessment, and interval-valued q-rung orthopair fuzzy sets

IF 5.5 0 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Granular Computing Pub Date : 2024-01-03 DOI:10.1007/s41066-023-00430-w

Rashmi Pathak, Badal Soni, Naresh Babu Muppalaneni, A. Mishra

引用次数: 0

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基于爱因斯坦幂算子、距离度量、加法比率评估和区间值q-rung正对模糊集的多标准群体决策方法

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Granular Computing Multiple-

CiteScore

10.70

自引率

23.60%

发文量

期刊介绍： Granular Computing constitutes an extensive body of knowledge, which dwells upon individual formalisms of information granules (established within various settings including set theory, interval calculus, fuzzy sets, rough sets, shadowed sets, probabilistic granules) and unifies them to form a coherent methodological and developmental environment. Granular Computing is about formation, processing and communicating information granules.