Light but fruitful: enhanced fuzzy inference via weight-guided selection of rules with attribute weights-Reference-Cited by-同舟云学术

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Light but fruitful: enhanced fuzzy inference via weight-guided selection of rules with attribute weights

Published:2024-06-18 Issue: Volume: Page:1-13
ISSN:0020-7721
Container-title:International Journal of Systems Science
language:en
Short-container-title:International Journal of Systems Science

Author:

Li Fangyi¹,Lv Hang²,Shen Qiang³

Affiliation:

1. School of Artificial Intelligence, Beijing Normal University, Beijing, People's Republic of China

2. School of Computer Science, Northwestern Polytechnical University, Xi'an, People's Republic of China

3. Department of Computer Science, Aberystwyth University, Aberystwyth, UK

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Fundamental Research Funds for the Central Universities, China

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207721.2024.2365436

Reference23 articles.

1. Keel data-mining software tool: Data set repository, integration of algorithms and experimental analysis framework;Alcalá-Fdez J.;Journal of Multiple-Valued Logic & Soft Computing,2011

2. A Generalized Concept for Fuzzy Rule Interpolation

3. Time-varying output-based Takagi–Sugeno fuzzy controller of uncertain nonlinear systems

4. Fuzzy Interpolative Reasoning for Sparse Fuzzy-Rule-Based Systems Based on the Areas of Fuzzy Sets

5. Weighted fuzzy interpolative reasoning for sparse fuzzy rule-based systems based on piecewise fuzzy entropies of fuzzy sets

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