Labeling Consequents of Fuzzy Rules Constructed by Using Heuristic Algorithms of Possibilistic Clustering
Dmitri A. Viattchenin (),
Stanislau Shyrai () and
Aliaksandr Damaratski ()
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Dmitri A. Viattchenin: Belarusian State University of Informatics and Radio-Electronics, Minsk, Belarus
Stanislau Shyrai: Belarusian State University of Informatics and Radio-Electronics, Minsk, Belarus
Aliaksandr Damaratski: United Institute of Informatics Problems of the National Academy of Sciences of Belarus, Minsk, Belarus
Database Systems Journal, 2014, vol. 5, issue 3, pages 3-13
he paper deals with the problem of automatic labeling output variables in Mamdani-type fuzzy rules generated by using heuristic algorithms of possibilistic clustering. The labeling problem in fuzzy clustering and basic concepts the heuristic approach to possibilistic clustering are considered in brief. Labeling consequents procedure is proposed. Experimental results are presented shortly and some preliminary conclusions are made.
Keywords: Data Mining; Clustering; Fuzzy Rule; Consequent; Labeling (search for similar items in EconPapers)
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Persistent link: http://EconPapers.repec.org/RePEc:aes:dbjour:v:5:y:2014:i:3:p:3-13
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