FUZZY NEURAL NETWORKS IN INTELLIGENT MANUFACTURING SYSTEMS

Authors

  • Galina Setlak

DOI:

https://doi.org/10.47839/ijc.1.1.81

Keywords:

neural networks, fuzzy logic, fuzzy neural networks, decision support systems

Abstract

This paper presents fuzzy neural networks, which are an expansion of classical neural networks. These networks can formally represent and process both the qualitative (linguistic) and quantitative information, which usually describe a complex, multidimensional systems or decision making processes. The second part presents the results of tests and a practical implementation of applications for decision support systems based on fuzzy neural networks used for strategic management and determination of product development strategy.

References

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M. Brown and Chris Harris. Neurofuzzy Adaptive Modelling and Control, Prentice Hall, New York, 1994, p. 274.

J.J. Buckley, Y. Hayashi: Fuzzy neural net­works: A survey, Fuzzy Sets and Systems, vo1.66, 1994, pp. 1-­13.

Zadeh L.A.: Fuzzy sets as a basis for a theory of possibility. Fuzry sets and Systems, Nl, 1978, pp. 3-­28.

Rutkowska D.: Inteligentne sys­temy obliczeniowe, Akademicka Ofi­cyna Wydawnicza PLJ, Warszawa, 1997, pp. 304.

Setlak G. Neural networks in the Intelli­gent Infor­mation Systems of Management, «Jour­nal of Auto­mation and Information Sciences», Kiev, N1, 2000r., pp. 112-­119.

Schaffer J.D., Whitley L. Eshelman J.: Com­binations of Genetic Algorithms and Neural Net­works: A Survey of the State of the Art., Proceed. of International Workshop “Combinations of Ge­net ic Algori thms and Neural Networks”, COGANN­92, 1992, pp. 244-­248.

C. Samuel Certo, J.Paul Peter: Strategic Management, Random House, Inc., New York, 1988, pp. 1203.

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Published

2002-10-31

How to Cite

Setlak, G. (2002). FUZZY NEURAL NETWORKS IN INTELLIGENT MANUFACTURING SYSTEMS. International Journal of Computing, 1(1), 96-100. https://doi.org/10.47839/ijc.1.1.81

Issue

2002, Volume 1, Issue 1

Section

Articles

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