Pattern recognition using type-II fuzzy sets

  • Authors:
  • H. B. Mitchell

  • Affiliations:
  • ELTA Systems Ltd, Image Intelligence Exploitation Department (section 6174), Image Intelligence and Radar Division, Ashdod, Israel

  • Venue:
  • Information Sciences—Informatics and Computer Science: An International Journal
  • Year:
  • 2005

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Abstract

Type II fuzzy sets are a generalization of the ordinary fuzzy sets in which the membership value for each member of the set is itself a fuzzy set in [0, 1]. We introduce a similarity measure for measuring the similarity, or compatibility, between two type-II fuzzy sets. With this new similarity measure we show that type-II fuzzy sets provide us with a natural language for formulating classification problems in pattern recognition.