Optimal granulation selection for similarity measure-based multigranulation intuitionistic fuzzy decision-theoretic rough sets

Similarity measure is an important uncertainty measurement in intuitionistic fuzzy set (IFS) theory. In this study, a novel similarity measure is presented by the combination of the information carried by hesitancy degree and the endpoint distance of membership and nonmembership, respectively. Moreo...

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Veröffentlicht in:	Journal of intelligent & fuzzy systems 2019-01, Vol.36 (3), p.2495-2509
Hauptverfasser:	Liang, Meishe, Mi, Jusheng, Feng, Tao
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Decision theory Estimating techniques Fuzzy sets Granulation Heuristic methods Mathematical models Similarity Similarity measures
Online-Zugang:	Volltext
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