Homomorphic-like random set representations for fuzzy logic models using exponentiation with applications to data fusion

  • Authors:

  • I. R. Goodman

  • Affiliations:

  • -

  • Venue:
  • Information Sciences: an International Journal
  • Year:
  • 1999

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Abstract

This paper shows that relational event algebra and one-point random set coverage representations of fuzzy logic can be combined to produce homomorphic-like representations for fuzzy logic models which utilize modifiers in the form of exponentiations. It is demonstrated that these representations are quite tractable in many cases and serves as a natural link between a core part of fuzzy logic and probability.