Distance and similarity measures for fuzzy operators

  • Authors:

  • Victor Balopoulos;Anestis G. Hatzimichailidis;Basil K. Papadopoulos

  • Affiliations:

  • Department of Civil Engineering, Democritus University of Thrace, GR-67100 Xanthi, Greece;Department of Civil Engineering, Democritus University of Thrace, GR-67100 Xanthi, Greece;Department of Civil Engineering, Democritus University of Thrace, GR-67100 Xanthi, Greece

  • Venue:
  • Information Sciences: an International Journal
  • Year:
  • 2007

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Abstract

We introduce and study a new family of normalized distance measures between binary fuzzy operators, along with its dual family of similarity measures. Both are based on matrix norms and arise from the study of the aggregate plausibility of set-operations. We also suggest a new family of normalized distance measures between fuzzy sets, based on binary operators and matrix norms, and discuss its qualitative and quantitative features. All measures proposed are intended for applications and may be customized according to the needs and intuition of the user.