Crisp sets as classes of discontinuous fuzzy sets

  • Authors:

  • E. Trillas;I. García-Honrado;S. Guadarrama;E. Renedo

  • Affiliations:

  • European Centre for Soft Computing, Fundamentals of Soft Computing, Mieres, 33600 Asturias, Spain;European Centre for Soft Computing, Fundamentals of Soft Computing, Mieres, 33600 Asturias, Spain;European Centre for Soft Computing, Fundamentals of Soft Computing, Mieres, 33600 Asturias, Spain;European Centre for Soft Computing, Fundamentals of Soft Computing, Mieres, 33600 Asturias, Spain

  • Venue:
  • International Journal of Approximate Reasoning
  • Year:
  • 2009

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Abstract

This paper aims to show how, by using a threshold-based approach, a path from imprecise information to a crisp 'decision' can be developed. It deals with the problem of the logical transformation of a fuzzy set into a crisp set. Such threshold arises from the ideas of contradiction and separation, and allows us to prove that crisp sets can be structurally considered as classes of discontinuous fuzzy sets. It is also shown that continuous fuzzy sets are computationally indistinguishable from some kind of discontinuous fuzzy sets.