Interpolation in hierarchical rule-bases with normal conclusions

László T. Kóczy, Leila Muresan

Research output: Conference contribution

4 Citations (Scopus)

Abstract

Combining fuzzy rule interpolation with the use of hierarchically structured fuzzy rule bases, as proposed by Sugeno leads to the reduction of the fuzzy algorithms’ complexity. In this paper mainly the KH method and its versions are used for interpolation. One of the drawbacks of this method is that it often results in abnormal conclusions, so the hierarchical structures are impossible to use. This paper describes how this difficulty can be avoided by using a modified version of the KH method, the MACI algorithm.

Original languageEnglish
Title of host publicationAdvances in Soft Computing - AFSS 2002 - 2002 AFSS International Conference on Fuzzy Systems, Proceedings
EditorsNikhil R. Pal, Michio Sugeno
PublisherSpringer Verlag
Pages34-39
Number of pages6
ISBN (Print)9783540431503
DOIs
Publication statusPublished - jan. 1 2002
Event5th International Conference on Asian Fuzzy Systems Society, AFSS 2002 - Calcutta, India
Duration: febr. 3 2002febr. 6 2002

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2275
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other5th International Conference on Asian Fuzzy Systems Society, AFSS 2002
CountryIndia
CityCalcutta
Period2/3/022/6/02

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Kóczy, L. T., & Muresan, L. (2002). Interpolation in hierarchical rule-bases with normal conclusions. In N. R. Pal, & M. Sugeno (Eds.), Advances in Soft Computing - AFSS 2002 - 2002 AFSS International Conference on Fuzzy Systems, Proceedings (pp. 34-39). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2275). Springer Verlag. https://doi.org/10.1007/3-540-45631-7_5