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From fuzzy rule-based models to their granular generalizations

  • Published:2017-05 Issue: Volume:124 Page:133-143
  • ISSN:0950-7051
  • Container-title:Knowledge-Based Systems
  • language:en
  • Short-container-title:Knowledge-Based Systems

Author:

Hu Xingchen,Pedrycz Witold,Wang Xianmin

Funder

National Centre for Research (NCN)

National Natural Science Foundation of China

China Scholarship Council

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference42 articles.

1. Fuzzy Systems Engineering: Toward Human-Centric Computing;Pedrycz,2007

2. Revisiting evolutionary fuzzy systems: Taxonomy, applications, new trends and challenges;Fernandez;Knowl. Based Syst.,2015

3. Granular computing as a framework of system modeling;Pedrycz;J. Control Autom. Electr. Syst.,2013

4. S-FRULER: scalable fuzzy rule learning through evolution for regression;Rodríguez-Fdez;Knowl. Based Syst.,2016

5. A novel multi-task TSK fuzzy classifier and its enhanced version for labeling-risk-aware multi-task classification;Jiang;Inf. Sci.,2016

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