A probabilistic definition of a nonconvex fuzzy cardinality

  • Authors:

  • Miguel Delgado;Daniel Sánchez;María J. Martín-Bautista;María Amparo Vila

  • Affiliations:

  • Department of Computer Science and Artificial Intelligence, University of Granada, Avda. Andalucia 38, Granada, Spain;Department of Computer Science and Artificial Intelligence, University of Granada, Avda. Andalucia 38, Granada, Spain;Department of Computer Science and Artificial Intelligence, University of Granada, Avda. Andalucia 38, Granada, Spain;Department of Computer Science and Artificial Intelligence, University of Granada, Avda. Andalucia 38, Granada, Spain

  • Venue:
  • Fuzzy Sets and Systems
  • Year:
  • 2002

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Abstract

The existing methods to assess the cardinality of a fuzzy set with finite support are intended to preserve the properties of classical cardinality. In particular, the main objective of researchers in this area has been to ensure the convexity of fuzzy cardinalities, in order to preserve some properties based on the addition of cardinalities, such as the additivity property. We have found that in order to solve many real-world problems, such as the induction of fuzzy rules in Data Mining, convex cardinalities are not always appropriate. In this paper, we propose a possibilistic and a probabilistic cardinality of a fuzzy set with finite support. These cardinalities are not convex in general, but they are most suitable for solving problems and, contrary to the generalizing opinion, they are found to be more intuitive for humans. Their suitability relies mainly on the fact that they assume dependency among objects with respect to the property "to be in a fuzzy set". The cardinality measures are generalized to relative ones among pairs of fuzzy sets. We also introduce a definition of the entropy of a fuzzy set by using one of our probabilistic measures. Finally, a fuzzy ranking of the cardinality of fuzzy sets is proposed, and a definition of graded equipotency is introduced.