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Measuring simultaneous belongingness for sets of objects
Author(s) -
Torra Vicenç
Publication year - 2008
Publication title -
international journal of intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.291
H-Index - 87
eISSN - 1098-111X
pISSN - 0884-8173
DOI - 10.1002/int.20276
Subject(s) - belongingness , measure (data warehouse) , cluster analysis , fuzzy clustering , computer science , fuzzy logic , data mining , fuzzy set , artificial intelligence , theoretical computer science , psychology , social psychology
This paper presents the so‐called measures of simultaneous belongingness. These measures are used in clustering for establishing in which extent two objects belong to the same clusters. In the case of fuzzy clustering, the measure also takes into account fuzzy membership. In this paper, we establish a more general framework and, in particular, we introduce a definition that permits to compute this measure for sets of objects (instead of only to pairs of them). © 2008 Wiley Periodicals, Inc.