Approximated fuzzy LR computation

  • Authors:
  • Mourad Oussalah;Joris De Schutter

  • Affiliations:
  • Centre for Software Reliability, City University, 10 Northampton Square, London EC1V0HB, UK;KU Leuven, PMA, Division PMA, Celestijnenlaan 300B, 3001 Heverlee, Belgium

  • Venue:
  • Information Sciences: an International Journal
  • Year:
  • 2003

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Abstract

This note addresses the problem of the multiplication (and division) of fuzzy numbers represented in LR (left and right) form. It is known that, usually, the multiplication of LR fuzzy numbers does not provide LR fuzzy number. However, for real time applications, for instance, the complexity of such operation often prevents the use of fuzzy arithmetic framework to these fields. This rises the question whether an approximated LR fuzzy number can be found in case of fuzzy multiplication (division) operation. This paper focuses on an approximated LR fuzzy number that agrees with the result supplied by the fuzzy multiplication (division) operation according to some rational criteria. These criteria involve properties of global specificity, high plausibility and typicality representation. Furthermore, the error induced by this approximation is evaluated and included as a constraint for the approximation issue.