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JOURNALS // Artificial Intelligence and Decision Making // Archive

Artificial Intelligence and Decision Making, 2011 Issue 3, Pages 11–16 (Mi iipr465)

Knowledge engineering

Objects’ clusterization by linguistic description under theory FLb

A. K. Kerimov, U. Sh. Rzayeva

Azerbaijan State Economic University

Abstract: We consider the problem of clustering objects with fuzzy characteristics, taking linguistic values, for the solution which uses fuzzy logic in a broad sense (FLb). A special class of linguistic syntagmas is determined in FLb. Clusterization problem is formulated in terms of fuzzy logic in a broad sense, we introduce an auxiliary (consistent) fuzzy theory, within which objects’ belonging to each other and objects to the class is uniquely defined.

Keywords: fuzzy logic in broader sense (FLb), informative combinations, syntagma, predicate, conditional clauses, linguistic variable, intensity.



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