EconPapers    
Economics at your fingertips  
 

Labeling Consequents of Fuzzy Rules Constructed by Using Heuristic Algorithms of Possibilistic Clustering

Dmitri A. Viattchenin (), Stanislau Shyrai () and Aliaksandr Damaratski ()
Additional contact information
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

Abstract: 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)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations Track citations by RSS feed

Downloads: (external link)
http://dbjournal.ro/archive/17/17_1.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: http://EconPapers.repec.org/RePEc:aes:dbjour:v:5:y:2014:i:3:p:3-13

Access Statistics for this article

Database Systems Journal is currently edited by Ion Lungu

More articles in Database Systems Journal from Academy of Economic Studies - Bucharest, Romania Contact information at EDIRC.
Series data maintained by Adela Bara ().

 
Page updated 2016-12-23
Handle: RePEc:aes:dbjour:v:5:y:2014:i:3:p:3-13