Skip to main navigation Skip to search Skip to main content

An improved similarity measure and fuzzy reasoning method

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

In the fuzzy reasoning of expert system, similarity-based fuzzy reasoning method is a kind of simple and important method. This paper indicates the limitation of an existing similarity measure and its algorithm, and proposes an improved similarity measure and reasoning method. We give an example and comparison of two methods to show the superiority of the new algorithm.

Original languageEnglish
Title of host publication2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005
PublisherIEEE Computer Society
Pages2583-2587
Number of pages5
ISBN (Electronic)0780390911
ISBN (Print)078039092X, 9780780390928
DOIs
StatePublished - 2005
Externally publishedYes
EventInternational Conference on Machine Learning and Cybernetics, ICMLC 2005 - Guangzhou, China
Duration: 18 Aug 2005 → 21 Aug 2005

Publication series

Name2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005
Volume4

Conference

ConferenceInternational Conference on Machine Learning and Cybernetics, ICMLC 2005
Country/TerritoryChina
CityGuangzhou
Period18/08/05 → 21/08/05

Keywords

  • Expert System
  • Fuzzy Reasoning
  • Similarity Measure
  • Weighted Fuzzy Production Rule

Fingerprint

Dive into the research topics of 'An improved similarity measure and fuzzy reasoning method'. Together they form a unique fingerprint.

Cite this