Closed form fuzzy interpolation with interval type-2 fuzzy sets

Yang, Longzhi, Chen, Chengyuan, Jin, Nanlin, Fu, Xin and Shen, Qiang (2014) Closed form fuzzy interpolation with interval type-2 fuzzy sets. In: 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, Piscataway, NJ, pp. 2184-2191. ISBN 978-1479920730

Full text not available from this repository. (Request a copy)
Official URL:


Fuzzy rule interpolation enables fuzzy inference with sparse rule bases by interpolating inference results, and may help to reduce system complexity by removing similar (often redundant) neighbouring rules. In particular, the recently proposed closed form fuzzy interpolation offers a unique approach which guarantees convex interpolated results in a closed form. However, the difficulty in defining the required precise-valued membership functions still poses significant restrictions over the applicability of this approach. Such limitations can be alleviated by employing type-2 fuzzy sets as their membership functions are themselves fuzzy. This paper extends the closed form fuzzy rule interpolation using interval type-2 fuzzy sets. In this way, as illustrated in the experiments, closed form fuzzy interpolation is able to deal with uncertainty in data and knowledge with more flexibility.

Item Type: Book Section
Uncontrolled Keywords: Fuzzy rule interpolation, closed form interpolation, interval type-2 fuzzy sets
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Becky Skoyles
Date Deposited: 17 Apr 2015 09:09
Last Modified: 12 Oct 2019 22:29

Actions (login required)

View Item View Item


Downloads per month over past year

View more statistics