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Self-organising fuzzy logic classifier

Gu, Xiaowei, Angelov, Plamen P. (2018) Self-organising fuzzy logic classifier. Information Sciences, 447 . pp. 36-51. ISSN 0020-0255. (doi:10.1016/j.ins.2018.03.004) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:90205)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL:
https://doi.org/10.1016/j.ins.2018.03.004

Abstract

In this paper, we present a self-organising nonparametric fuzzy rule-based classifier. The proposed approach identifies prototypes from the observed data through an offline training process and uses them to build a 0-order AnYa type fuzzy rule-based system for classification. Once primed offline, it is able to continuously learn from the streaming data afterwards to follow the changing data pattern by updating the system structure and meta-parameters recursively. The meta-parameters of the proposed approach are derived from data directly. By changing the level of granularity, the proposed approach can make a trade-off between performance and computational efficiency, and, thus, the classifier is able to address a wide variety of problems with specific needs. The classifier also supports different types of distance measures. Numerical examples based on benchmark datasets demonstrate the high performance of the proposed approach and its ability of handling high-dimensional, complex, large-scale problems.

Item Type: Article
DOI/Identification number: 10.1016/j.ins.2018.03.004
Uncontrolled keywords: Classification; Fuzzy rule-based systems; Self-organising; Recursive
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Amy Boaler
Date Deposited: 14 Sep 2021 13:03 UTC
Last Modified: 04 Mar 2024 18:24 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/90205 (The current URI for this page, for reference purposes)

University of Kent Author Information

Gu, Xiaowei.

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