Fuzzy rule-based systems for recognition-intensive classification in granular computing context

Author:

Liu HanORCID,Zhang Li

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Science Applications,Information Systems

Reference68 articles.

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2. Altrabsheh N, Cocea M, Fallahkhair S (2015) Predicting students’ emotions using machine learning techniques. Springer, Cham, pp 537–540

3. Antonelli M, Ducange P, Lazzerini B, Marcelloni F (2016) Multi-objective evolutionary design of granular rule-based classifiers. Granul Comput 1(1):37–58

4. Bergadano F, Cutello V (1993) Learning membership functions. In: European conference on symbolic and quantitative approaches to reasoning and uncertainty, Granada, Spain, pp 25–32

5. Berthold MR (2003) Mixed fuzzy rule formation. Int J Approx Reason 32:67–84

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