Geometric type-1 and type-2 fuzzy logic systems

Date

2007-02-01

Advisors

Journal Title

Journal ISSN

ISSN

1063-6706

Volume Title

Publisher

IEEE

Type

Article

Peer reviewed

Abstract

Description

This paper describes how geometric primitives can be used to model type-1 and type-2 fuzzy sets. This novel approach gives the fuzzy community a new computational model for processing fuzzy systems. The impact of this paper comes from the type-2 geometric model. The computational complexity of type-2 fuzzy systems is notoriously high. The geometric approach gives a real opportunity for a massive reduction in this computation, some of which is demonstrated. The increased accuracy of the geometric approach is also demonstrated with examples. This result has appeared in one of the leading journals in the field with impact factor 1.803

Keywords

RAE 2008, UoA 23 Computer Science and Informatics, computational geometry, geometric approach, type-2 fuzzy logic

Citation

Coupland, S. & John, R.I. (2007) Geometric type-1 and type-2 fuzzy logic systems. IEEE Transactions on Fuzzy Systems, 15(1), pp. 3-15.

Rights

Research Institute

Institute of Artificial Intelligence (IAI)