Measures of Similarity between Fuzzy Concepts: A Comparative Analysis

Abstract

This research note discusses the selection of an appropriate index to measure the similarity between fuzzy subsets (concepts). The RN reviews 19 measures of linguistic approximation procedures, and compares their performance in a behavioral experiment. For categorizing paris of fuzzy concepts as similar or dissimilar all measures performed well. For distinguishing degrees of similarity or dissimilarity, however, certain measures were superior. The best measures focus on only one slice of membership function. Keywords: Fuzzy set theory, Similarity judgement, Understanding, Cognition.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1987
Accession Number
ADA189430

Entities

People

  • David V. Budescu
  • Edward Carlstein
  • Rami Zwick

Organizations

  • University of North Carolina at Chapel Hill

Tags

Communities of Interest

  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Behavioral Sciences
  • Center Of Gravity
  • Cognition
  • Economics
  • Experimental Design
  • Fuzzy Sets
  • Intervals
  • Judgment
  • Mathematical Analysis
  • Models
  • North Carolina
  • Pattern Recognition
  • Psychology
  • Reasoning
  • Semantic Models
  • Set Theory
  • Social Sciences

Readers

  • Psychometric Testing or Psychological Assessment.
  • Regression Analysis.
  • Speech Processing/Speech Recognition.