An investigation into alternative methods for the defuzzification of an interval type-2 fuzzy set.

Date

2006-04-24T17:26:02Z

Advisors

Journal Title

Journal ISSN

ISSN

1544-5615

DOI

Volume Title

Publisher

Type

Preprint

Peer reviewed

Abstract

The number of applications of interval type-2 fuzzy logic to real world problems is growing. To date such systems have used type-reduction or an approximation of typereduction to arrive at final crisp output from the system. This paper describes the novel direct defuzzifier for interval type-2 fuzzy sets. A number of fuzzy systems are compared with direct defuzzifier. We compare each defuzzifiers output surface in a simple rule-based system. The direct defuzzifier compares favourably with the type-reduction method under the minimum t-norm. Also, we found that the non-stationary approach provided interesting results.

Description

Keywords

type-1, type-2, interval type-2, t-norm

Citation

Coupland, S. and John, R.I. (2006) An investigation into alternative methods for the defuzzification of an interval type-2 fuzzy set. 2006 IEEE International Conference on Fuzzy Systems, pp. 1425-1432.

Rights

Research Institute

Institute of Artificial Intelligence (IAI)