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Semantically Valid Optimization of Fuzzy Models

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Book cover Fuzzy Logic and its Applications to Engineering, Information Sciences, and Intelligent Systems

Part of the book series: Theory and Decision Library ((TDLD,volume 16))

Abstract

Fuzzy models are ubiquitous in both theoretical developments and applications of fuzzy set theory. They become particularly crucial when it comes to an extensive and thorough “what-if” type of analysis.

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References

  • Dubois, D., Prade, H. (1988) Possibility theory - An approach to computerized processing of uncertainty. Plenum Press, New York.

    MATH  Google Scholar 

  • EyckofF, P. (1974) System Identification: Parameter and State Estimation. J. Wiley, London.

    Google Scholar 

  • Kosko, B. (1992), Neural Netxuorks and Fuzzy Systems. Englewood Cliffs, NJ: Prentice Hall.

    Google Scholar 

  • Pedrycz, W. (1991) Neurocomputing in relational systems, IEEE Trans, on Pattern Analysis and Machine Intelligence, Vol 13, no. 3, pp. 289–297.

    Article  Google Scholar 

  • Pedrycz, W. (1993) Fuzzy neural networks and neurocomputations, Fuzzy Sets and Systems, Vol 56, pp. 1–28.

    Article  Google Scholar 

  • Pedrycz, W, Valente de Oliveira, J. (1993a) An alternative architecture for application driven fuzzy systems, Proc. 5th IFSA World Congress, Seoul, pp. 985–988.

    Google Scholar 

  • Pedrycz, W., Valente de Oliveira, J. (1993b) Optimization of fuzzy relational models, Proc. 5th IFSA World Congress, Seoul, pp. 1187–1190.

    Google Scholar 

  • Valente de Oliveira, J. (1993a) On optimal fuzzy systems I/O interfaces, Proc. of the Second IEEE International Conference on Fuzzy Systems, San Francisco, CA, pp. 851–856.

    Google Scholar 

  • Valente de Oliveira, J. (1993b) Neuron inspired learning rules for fuzzy relational structures, Fuzzy Sets and Systems, Vol. 57 pp. 41–53.

    Article  MathSciNet  Google Scholar 

  • Valente de Oliveira, J. (1993c - accepted for publication) A design methodology for fuzzy system interfaces, IEEE Trans, on Fuzzy Systems.

    Google Scholar 

  • Zadeh, L.A. (1978) Fuzzy sets as a basis for a theory of possibility, Fuzzy Sets and Systems, Vol. 1, pp. 3–28.

    Article  MATH  MathSciNet  Google Scholar 

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Author information

Authors and Affiliations

  1. Dept. of Electrical & Computer Engineering, University of Manitoba, Winnipeg, Manitoba, R3T 5V6, Canada

    W. Pedrycz

  2. INESC — Research Group on Control of Dynamic Systems, Apartado 13069, 1000, Lisboa, Portugal

    J. Valente de Oliveira

Authors
  1. W. Pedrycz
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  2. J. Valente de Oliveira
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Editor information

Editors and Affiliations

  1. Korea Advanced Institute of Science and Technology (KAIST), Taejon, Korea

    Z. Bien

  2. Yonsei University, Seoul, Korea

    K. C. Min

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© 1995 Kluwer Academic Publishers

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Pedrycz, W., Valente de Oliveira, J. (1995). Semantically Valid Optimization of Fuzzy Models. In: Bien, Z., Min, K.C. (eds) Fuzzy Logic and its Applications to Engineering, Information Sciences, and Intelligent Systems. Theory and Decision Library, vol 16. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-0125-4_19

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  • DOI: https://doi.org/10.1007/978-94-009-0125-4_19

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-6543-6

  • Online ISBN: 978-94-009-0125-4

  • eBook Packages: Springer Book Archive

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