Nonstationary Fuzzy Sets

Authors:
J. M. Garibaldi;M. Jaroszewski;S. Musikasuwan
Affiliations:
Sch. of Comput. Sci. & Inf. Technol., Univ. of Nottingham, Nottingham;-;-
Venue:
IEEE Transactions on Fuzzy Systems
Year:
2008

Citing 0
Cited 3

Variability in classification outcomes based on fuzzy and non-fuzzy input values: a case study

FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 3
Incorporation of expert variability into breast cancer treatment recommendation in designing clinical protocol guided fuzzy rule system models

Journal of Biomedical Informatics
Effects of type reduction algorithms on forecasting accuracy of IT2FLS models

Applied Soft Computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, the notion termed a ldquononstationary fuzzy setrdquo is introduced, and the concept of a perturbation function that is used for generating nonstationary fuzzy sets is presented. Definitions of the basic set operators (the union, the intersection, and the complement) for nonstationary fuzzy sets are given, together with proofs of selected properties of these operators. Two case studies were carried out in order to illustrate the use of nonstationary fuzzy sets in a nonstationary fuzzy inference, and to provide an initial insight into the relationships between nonstationary and interval type-2 fuzzy sets.