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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Dmitri A. VIATTCHENIN & Stanislau SHYRAI & Aliaksandr DAMARATSKI, 2014. "Labeling Consequents of Fuzzy Rules Constructed by Using Heuristic Algorithms of Possibilistic Clustering," Database Systems Journal, Academy of Economic Studies - Bucharest, Romania, vol. 5(3), pages 3-13, December.
    • Handle: RePEc:aes:dbjour:v:5:y:2014:i:3:p:3-13
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    References listed on IDEAS

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    1. Dmitri A. VIATTCHENIN & Aliaksandr DAMARATSKI, 2013. "Direct Heuristic Algorithms of Possibilistic Clustering Based on Transitive Approximation of Fuzzy Tolerance," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 17(3), pages 5-15.
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