New geometric inference techniques for type-2 fuzzy sets

  • Authors:

  • Simon Coupland;Robert John

  • Affiliations:

  • Centre for Computational Intelligence, De Montfort University, The Gateway, Leicester, LE1 9BH, United Kingdom;Centre for Computational Intelligence, De Montfort University, The Gateway, Leicester, LE1 9BH, United Kingdom

  • Venue:
  • International Journal of Approximate Reasoning
  • Year:
  • 2008

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper presents new techniques for performing logical operations on type-2 fuzzy sets. These techniques make significant use of geometric methods to give, for the first time, logic operators that can be implemented over continuous domains, thereby eliminating the need for discretisation. We give a full exposition of the geometric inference operations and consider computational speed and accuracy. We show this novel approach to be more accurate, although slightly slower than existing techniques.