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Selection of prototype rules: Context searching via clustering

  • Nicolaus Copernicus University in Toruń
  • Nanyang Technological University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

13 Citations (Scopus)

Abstract

Prototype-based rules are an interesting alternative to fuzzy and crisp logical rules, in many cases providing simpler, more accurate and more comprehensible description of the data. Such rules may be directly converted to fuzzy rules. A new algorithm for generation of prototype-based rules is introduced and a comparison with results obtained by neurofuzzy systems on a number of datasets provided.

Original languageEnglish
Title of host publicationArtificial Intelligence and Soft Computing - ICAISC 2006 - 8th International Conference, Proceedings
PublisherSpringer Verlag
Pages573-582
Number of pages10
ISBN (Print)3540357483, 9783540357483
DOIs
Publication statusPublished - 2006
Event8th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2006 - Zakopane, Poland
Duration: 25 Jun 200629 Jun 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4029 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference8th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2006
Country/TerritoryPoland
CityZakopane
Period25/06/0629/06/06

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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