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An Approach to the Fuzzy Inference in Logical-Type Systems with Many Inputs

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Proceedings of the First International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’16)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 450))

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Abstract

This paper describes an approach to the fuzzy inference in MISO-type systems in case when logical type system is used. It is shown that complex rules can be broken down into simple via represented implications when used max-min composition. It also shows that using of generalized modus ponens provides an efficient mechanism of inference with polynomial computational complexity. It is proposed to use this approach to create a neuro-fuzzy system solving the problem of diagnosis of rotary clinker burning kiln.

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Authors and Affiliations

  1. BSTU named after V.G. Shukhov, Belgorod, Russia

    Vasiliy G. Sinuk & Maxim V. Panchenko

Authors
  1. Vasiliy G. Sinuk
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  2. Maxim V. Panchenko
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Corresponding author

Correspondence to Vasiliy G. Sinuk .

Editor information

Editors and Affiliations

  1. Sci N/w for Innova and Research Exc, Machine Intelligence Research Labs, Auburn, Washington, USA

    Ajith Abraham

  2. Rostov State Transport University, Rostov-on-Don, Russia

    Sergey Kovalev

  3. Bauman Moscow State Technical University, Moscow, Russia

    Valery Tarassov

  4. Institute of Mathematics, VŠB-Technical University of Ostrava, Ostrava, Czech Republic

    Václav Snášel

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Sinuk, V.G., Panchenko, M.V. (2016). An Approach to the Fuzzy Inference in Logical-Type Systems with Many Inputs. In: Abraham, A., Kovalev, S., Tarassov, V., Snášel, V. (eds) Proceedings of the First International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’16). Advances in Intelligent Systems and Computing, vol 450. Springer, Cham. https://doi.org/10.1007/978-3-319-33609-1_35

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  • DOI: https://doi.org/10.1007/978-3-319-33609-1_35

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-33608-4

  • Online ISBN: 978-3-319-33609-1

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