Logic-driven fuzzy modeling with fuzzy multiplexers

Engineering Applications of Artificial Intelligence

Volumn 17, Issue 4, 2004, Pages 383-391

  Pedrycz, Witold ^a,b  

^a UNIVERSITY OF ALBERTA   (Canada)

^b SYSTEMS RESEARCH INSTITUTE   (Poland)

Author keywords

Digital systems; Feature selection; Fuzzy modeling; Fuzzy multiplexers; Genetic optimization; Multivalued logic

Indexed keywords

FEATURE EXTRACTION; GENETIC ALGORITHMS; INFORMATION ANALYSIS; MANY VALUED LOGICS; MATHEMATICAL MODELS; MULTIPLEXING; OPTIMIZATION; PROBABILITY;

DIGITAL SYSTEMS; FEATURE SELECTION; FUZZY MODELING; FUZZY MULTIPLEXERS; GENETIC OPTIMIZATION;

FUZZY CONTROL;

EID: 2942731447     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2004.04.011     Document Type: Article

References (16)

1. Baker, J.E., 1985. Adaptive selection methods for genetic algorithms. Proceedings of the First International Conference on Genetic Algorithms, pp. 101-111.
2. Bargiela A., Pedrycz W. Granular Computing: An Introduction. 2002;Kluwer Academic Publishers, Dordrecht.
3. Bezdek J.C. Pattern Recognition with Fuzzy Objective Functions. 1981;Plenum, NewYork.
4. Ciletti M.D. Modeling, Synthesis and Rapid Prototyping with the Verilog HDL. 1999;Prentice-Hall, Upper Saddle River, NJ.
5. Delgado M., Gomez-Skarmeta A.F., Martin F. A fuzzy clustering-based prototyping for fuzzy rule-based modeling. IEEE Transactions on Fuzzy Systems. 5(2):1997;223-233.
6. Eshelman, L.J., Schaffer, J.D., 1993. Real-coded Genetic algorithms and interval schemata. In: Foundations of Genetic Algorithms, Vol. 2. Morgan Kaufman Publishers, San Mateo, CA, pp. 187-202.
7. Goldberg D.E. Genetic Algorithms in Search, Optimization, and Machine Learning. 1989;Addison-Wesley, Reading, MA.
8. Goldberg D.E. Real-coded genetic algorithms, virtual alphabets, and blocking. Complex Systems. 5:1991;139-167.
9. Gomez-Skarmeta A.F., Delgado M., Vila M.A. About the use of fuzzy clustering techniques for fuzzy model identification. Fuzzy Sets and Systems. 106:1999;179-188.
10. Herrera F., Lozano M., Verdegay J.L. Tackling real-coded genetic algorithms: operators and tools for behavioral analysis. Artificial Intelligence Review. 12:1998;256-319.
11. Kohavi Z. Switching and Finite Automata Theory. 1970;McGraw-Hill, NewYork.
12. Mano M.M. Digital Design. 2nd Edition:1991;Prentice-Hall, Englewood Cliffs, NJ.
13. McCluskey E.J. Logic Design Principles. 1986;Prentice-Hall, Englewood Cliffs, NJ.
14. Merz, C.J., Murphy, P.M., 1998. UCI repository of machine learning databases. Technical Report, Department of Information and Computer Science, University of California at Irvine, [ http://www. ics.uci.edu/~mlearn/ MLRepository.html ].
15. Michalewicz, Z., 1996. Genetic Algorithms+Data Structures=Evolution Programs, third ed. Springer, Heidelberg.
16. Zadeh, L.A., Kacprzyk, J. (Eds.), 1999. Computing with Words in Information/Intelligent Systems, vols. I and II. Physica Verlag, Heidelberg.