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Type-2 Fuzzy Logic pp 7–34Cite as

Fuzzy Logic Systems

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Part of the book series: Nonlinear Physical Science ((NPS))

Abstract

The human mind has always shown a remarkable capability of coordinating a wide variety of physical and mental tasks without using any explicit measurements and computations.

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Author information

Authors and Affiliations

  1. Department of Electronics, Telecommunications and Informatics, University of Aveiro, Aveiro, Portugal

    Rómulo Antão

  2. Department of Electronics, Telecommunications and Informatics, University of Aveiro, Aveiro, Portugal

    Alexandre Mota & Rui Escadas Martins

  3. Institute of Engineering, Polytechnic of Porto, Porto, Portugal

    José Tenreiro Machado

Authors
  1. Rómulo Antão
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  2. Alexandre Mota
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  3. Rui Escadas Martins
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  4. José Tenreiro Machado
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Correspondence to Rómulo Antão .

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© 2017 Springer Nature Singapore Pte Ltd. and Higher Education Press

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Antão, R., Mota, A., Escadas Martins, R., Tenreiro Machado, J. (2017). Fuzzy Logic Systems. In: Type-2 Fuzzy Logic. Nonlinear Physical Science. Springer, Singapore. https://doi.org/10.1007/978-981-10-4633-9_2

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