Fuzzy systems design: direct and indirect approaches
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
http://link.springer.com/content/pdf/10.1007/s00500-005-0006-x.pdf
Reference39 articles.
1. Andreas G-S. (1995) Fuzzy rule-based expert systems and genetic machine learning. Physica Verlag, Heidelberg
2. Angelov PP (2002) Evolving rule-based models: a tool for design of flexible adaptive systems. Springer, Berlin Heidelberg, New York
3. Angelov PP, Buswell RA (2002) Identification of evolving fuzzy rule-based models. IEEE Trans Fuzzy Syst 5(10):667–677
4. Angelov P, Buswell R (2003) Automatic generation of fuzzy rule-based models from data by genetic algorithms. Inform Sci 150(1/2):17–31
5. Angelov PP, Filev DP (2004) An approach to on-line identification of Takagi-Sugeno fuzzy models. IEEE Trans Syst Man Cybern B 34(1):484–498
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