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Fuzzy Rule Based System for Diagnosis of Stone Construction Cracks of Buildings

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Advances in Computational Intelligence and Learning

Abstract

We present a fuzzy expert system for intelligent support of decision making about cause of stone construction crack of building. The system is based on some linguistic expert expressions formalised by nine fuzzy knowledge bases. Tuning of fuzzy rules by genetic algorithms provided a good concordance between real causes of cracks and results of decision making by the system.

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References

  • Rotshtein, Alexander, 1998 “Design and Tuning of Fuzzy Rule-Based Systems for Medical Diagnosis”. In Teodorescu N.H. (Ed.) “Fuzzy and Neuro-Fuzzy in Mediane”, CRC Press, USA, pp.243–289.

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  • Zimmerman, Hans-Jurger, 1996, “Fuzzy Sets Theory and its Applications”. Kluwer Academic Publisher, Dordrecht.

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Hans-Jürgen Zimmermann Georgios Tselentis Maarten van Someren Georgios Dounias

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© 2002 Springer Science+Business Media New York

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Shtovba, S., Rotshtein, A., Pankevich, O. (2002). Fuzzy Rule Based System for Diagnosis of Stone Construction Cracks of Buildings. In: Zimmermann, HJ., Tselentis, G., van Someren, M., Dounias, G. (eds) Advances in Computational Intelligence and Learning. International Series in Intelligent Technologies, vol 18. Springer, Dordrecht. https://doi.org/10.1007/978-94-010-0324-7_28

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  • DOI: https://doi.org/10.1007/978-94-010-0324-7_28

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-3872-0

  • Online ISBN: 978-94-010-0324-7

  • eBook Packages: Springer Book Archive

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