Automatic Generation of Fuzzy Rules for Fuzzy Databases Using Particle Swarm Optimization
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Eberhart, R. and Kennedy, I. A new optimizer using particle swarm theory.[J] F'roc. 6 Int. Symposiums on Micro Machine and Human Science, 1995.39-43.
Kennedy, J. and Eberhart, R. Particle Swarm Optimization.[Jl IEEE International Conference on Neural Networks (Perth, Australia), IEEE Service Center, Piscataway, NI, 1995, Iv: 1942-1948.
MING MA’” CHUN-GUANG ZHOU I , LIBIAO ZHANG I, QUAN-SHENG DOU, Automatic Fuzzy Rule Extraction Based On Particle Swarm Optimization. Proc. of the Third International Conference on Machine Learning and Cybernetics, Shanghai, 26-29 August 2004
J. Kennedy, The particle swarm: social adaptation of knowledge, Proc. 1997 IEEE International Evolutionary Computation ICEC´97, Indianapolis, USA, pp. 303-308, 1997
Cao T. H., Rossiter J. M., Martin T. P. and Baldwin J. F. “ On the implementation of Fril++ for objectoriented logic programming with uncertainty and fuzziness”, Technologies for Constructing Intelligent Systems II, Physica-Verlag Heidelberg New York, pp 393-406 (2002)
Kaushik S, Nanda H, “Web Based Access of Relational Databases Using Fuzzy Natural Language Queries”, International Conference on Cognitive systems, Delhi, India (1999).
Klir G. J. and Yuan B. [2001], “Fuzzy Sets and Fuzzy Logic: Theory and Applications”, Prentice Hall, Inc. Englewood Cliffs, N. J., U.S.A.
8] Medina J. M., Pons O., Vila M.A. “GEFRED, A Generalized Model of Fuzzy Relational Databases”. Information Sciences, 76, 1-2, pp 87-109. (1994)
Yang Q., Zhang W., Liu C., Wu J., Nakajima H. and Rishe N.D. “Efficient Processing of Nested Fuzzy SQL Queries in a Fuzzy Database”, IEEE Trans. On Knowledge and Data Eng., vol. 13, no. 6, pp. 884-901, Nov/Dec
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