Interpolation in hierarchical rule-bases with normal conclusions

L. Kóczy, Leila Muresan

Research output: Chapter in Book/Report/Conference proceedingConference 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 publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages34-39
Number of pages6
Volume2275
ISBN (Print)9783540431503
Publication statusPublished - 2002
Event5th International Conference on Asian Fuzzy Systems Society, AFSS 2002 - Calcutta, India
Duration: Feb 3 2002Feb 6 2002

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2275
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

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

Fingerprint

Rule Base
Fuzzy rules
Interpolation
Interpolate
Fuzzy Rule Base
Algorithm Complexity
Fuzzy Algorithm
Hierarchical Structure
Fuzzy Rules

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Kóczy, L., & Muresan, L. (2002). Interpolation in hierarchical rule-bases with normal conclusions. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2275, pp. 34-39). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2275). Springer Verlag.

Interpolation in hierarchical rule-bases with normal conclusions. / Kóczy, L.; Muresan, Leila.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 2275 Springer Verlag, 2002. p. 34-39 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2275).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kóczy, L & Muresan, L 2002, Interpolation in hierarchical rule-bases with normal conclusions. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 2275, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2275, Springer Verlag, pp. 34-39, 5th International Conference on Asian Fuzzy Systems Society, AFSS 2002, Calcutta, India, 2/3/02.
Kóczy L, Muresan L. Interpolation in hierarchical rule-bases with normal conclusions. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 2275. Springer Verlag. 2002. p. 34-39. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Kóczy, L. ; Muresan, Leila. / Interpolation in hierarchical rule-bases with normal conclusions. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 2275 Springer Verlag, 2002. pp. 34-39 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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