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The main goal of this paper is to investigate the relationship between the distance measure, the similarity measure, the entropy, and the inclusion measure for q-ROFSs. The primary purpose of the study is to develop the systematic transformation of information measures (distance measure, similarity measure, entropy, and inclusion measure) for q-ROFSs. For obtaining this goal, some new formulae for information measures of q-ROFSs are presented. To show the validity of the explored similarity measure, we apply it to pattern recognition, clustering analysis, and medical diagnosis. 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Information measures for <i>q</i> ‐rung orthopair fuzzy sets 论文

Information measures for <i>q</i> ‐rung orthopair fuzzy sets · 相关技术