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Neuro-fuzzy Systems

  • Reference work entry
Computational Complexity

Article Outline

Glossary

Definition of the Subject

Introduction

Fuzzy Reasoning

Description of Fuzzy Inference Systems

Logical‐Type Neuro-fuzzy Systems

Mamdani‐Type Neuro-fuzzy Systems

Simplified Neuro-fuzzy Systems

Takagi–Sugeno Neuro-fuzzy Systems

Neuro-fuzzy Systems with Weights

Neuro-fuzzy Systems for Pattern Classification

Learning

Criteria Isolines Method

Future Directions

Acknowledgments

Bibliography

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Abbreviations

Neuro-fuzzy systems:

Fusion of fuzzy logic and neural networks with the ability to automated adaptation to training data and knowledge interpretability.

Fuzzy reasoning:

Reasoning on the basis of fuzzy premises and fuzzy rules inferring fuzzy conclusions.

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Acknowledgments

This work was supported in part by the Foundation for Polish Science (Professorial Grant2005–2008) and the Polish Ministry of Science and Higher Education (Special Research Project 2006–2009 and Polish‐Singapore ResearchProject 2008–2010) and by science funds for 2007–2010 as research project No. N N516 1669 33 and No. N N516 1155 33.

Author information

Authors and Affiliations

  1. Departament of Computer Engineering, Częstochowa University of Technology, Częstochowa, Poland

    Leszek Rutkowski, Krzysztof Cpałka, Robert Nowicki & Rafał Scherer

  2. Department of Artificial Intelligence, Academy of Humanities and Economics, Lodz, Poland

    Krzysztof Cpałka

  3. Institute of Mathematics and Computer Science, Jan Dlugosz University, Częstochowa, Poland

    Agata Pokropińska

Authors
  1. Leszek Rutkowski
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  2. Krzysztof Cpałka
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  3. Robert Nowicki
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  4. Agata Pokropińska
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  5. Rafał Scherer
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  1. RAMTECH LIMITED, 122 Escalle Lane, Larkspur, CA, 94939, USA

    Robert A. Meyers Ph. D. (Editor-in-Chief) (Editor-in-Chief)

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Rutkowski, L., Cpałka, K., Nowicki, R., Pokropińska, A., Scherer, R. (2012). Neuro-fuzzy Systems . In: Meyers, R. (eds) Computational Complexity. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-1800-9_131

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