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  • 标题:Labeling Consequents of Fuzzy Rules Constructed by Using Heuristic Algorithms of Possibilistic Clustering
  • 本地全文:下载
  • 作者:Dmitri A. VIATTCHENIN ; Stanislau SHYRAI ; Aliaksandr DAMARATSKI
  • 期刊名称:Database Systems Journal
  • 电子版ISSN:2069-3230
  • 出版年度:2014
  • 卷号:V
  • 期号:3
  • 页码:3-13
  • 出版社:Bucharest Academy of Economic Studies Publishing House
  • 摘要:The 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.
  • 关键词:Data Mining; Clustering; Fuzzy Rule; Consequent; Labeling.
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