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Genetic Algorithm for Fuzzy Logical Equations Solving in Diagnostic Expert Systems

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Book cover Engineering of Intelligent Systems (IEA/AIE 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2070))

Abstract

Application of the inverse logical inference in the expert systems of diagnosis is considered. The inverse logical inference allows to restore the causes by observed consequences using fuzzy relational matrix. Diagnosis deci- sion finding requires fuzzy logical equations system solution. The genetic algo- rithm of optimization based on crossover, mutation and selection of the initial set of chromosomes is proposed for fuzzy logical equations system solving. Computer simulation illustrates the algorithm efficiency. The suggested genetic algorithm can find application in expert systems of technical and medical diag- nosis and quality control.

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References

  1. Zimmermann, H.-J.: Fuzzy Set Theory and Its Applications. Kluwer, Dordrecht (1991)

    MATH  Google Scholar 

  2. Zadeh, L.: The Concept of Linguistic Variable ant It Application to Approximate Decision Making. M.: Mir (1976) (in Russian)

    Google Scholar 

  3. Rotshtein, A. P.: Medical Diagnostics on Fuzzy Logic. Vinnitsa: Kontinent-Prim (1996) (in Russian)

    Google Scholar 

  4. Asai, K., Sugano, M., Tarano, T.: Applied Fuzzy Systems. M.: Mir (1993) (in Russian)

    Google Scholar 

  5. Rotshtein, A.: Design and Tuning of Fuzzy Rule-Based Systems for Medical Diagnostics. In: N.-H. Teodorescu A. Kandel (ed): Fuzzy and Neuro-Fuzzy Systems in Medicine. CRC Press (1998) 243–289

    Google Scholar 

  6. Rotshtein, A. P.: Intellectual Technologies of Identification: Fuzzy Sets, Genetic Algorithms, Neural Nets. Vinnitsa: “UNIVERSUM” (1999) (in Russian)

    Google Scholar 

  7. Gen, M., Cheng, R.: Genetic Algorithms and Engineering Design. John Wiley & Sons (1997)

    Google Scholar 

  8. Rotshtein, A.: Modification of Saaty Method for the Construction of Fuzzy Set Membership Functions. In: FUZZY’97-International Conference “Fuzzy Logic and Its Applications”. Zichron, Israel (1997) 125–130

    Google Scholar 

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Author information

Authors and Affiliations

  1. Vinnitsa State Technical University, Khmelnitske Sh., 95, 21021, Vinnitsa, Ukraine

    Alexander Rotshtein

  2. Jerusalem College of Technology — Machon Lev, Havvaad Haleumi St. 21, 91160, Jerusalem, Israel

    Hanna Rakytyanska

Authors
  1. Alexander Rotshtein
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  2. Hanna Rakytyanska
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Editor information

Editors and Affiliations

  1. Hungarian Academy of Sciences, Intelligent Manufacturing and Business Processes Computer and Automation Research Institute, Kende utca 13-17, 1111, Budapest, Hungary

    László Monostori  & József Váncza  & 

  2. Department of Computer Science 601 University Drive, Southwest Texas State University, San Marcos, TX, 78666-4616, USA

    Moonis Ali

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© 2001 Springer-Verlag Berlin Heidelberg

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Rotshtein, A., Rakytyanska, H. (2001). Genetic Algorithm for Fuzzy Logical Equations Solving in Diagnostic Expert Systems. In: Monostori, L., Váncza, J., Ali, M. (eds) Engineering of Intelligent Systems. IEA/AIE 2001. Lecture Notes in Computer Science(), vol 2070. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45517-5_39

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  • DOI: https://doi.org/10.1007/3-540-45517-5_39

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42219-8

  • Online ISBN: 978-3-540-45517-2

  • eBook Packages: Springer Book Archive

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