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Representation of the Knowledge and Fuzzy Reasoning

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Distributed Computing and Artificial Intelligence, Special Sessions, 17th International Conference (DCAI 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1242))

Abstract

In this paper, we have described with certain detail some theories of the fuzzy logic, and their application to the artificial intelligence like scheme of representation of the knowledge, like base of new reasoning models, and also like effective means of approaching the problem of the linguistic classification of variables. After a fleeting representation of the nature and reach of the fuzzy sets, we enter of full in their characterization and nomenclature. Subsequently we approach the problems of the fuzzy relationships, and we propose the formulation of Zadeh for the representation of knowledge of the type: If x is A, Then y is B. This allows us to define the generalized modus ponens as inferential mechanism of the fuzzy systems. Finally, it is mentioned some of the reasoning ways that can be found in the fuzzy systems.

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Authors and Affiliations

  1. Department of Computer Engineering, Faculty of Engineering, Agostinho Neto University, University Campus of the Camama, S/N, Luanda, Angola

    Francisco João Pinto

Authors
  1. Francisco João Pinto
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Corresponding author

Correspondence to Francisco João Pinto .

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Editors and Affiliations

  1. IoT European Digital Innovation Hub, Bioinformatics Intelligent Systems and Educational Technology Research Group, Department of Computer Science, Faculty of Science, University of Salamanca, Salamanca, Spain

    Sara Rodríguez González

  2. GRASIA Research Group, Facultad de Informática, Universidad Complutense de Madrid, Madrid, Spain

    Alfonso González-Briones

  3. Faculty of Mechanical Engineering, Department of Production Computerisation and Robotisation, Lublin University of Technology, Lublin, Poland

    Arkadiusz Gola

  4. Cerca Trova Ltd, Sofia, Bulgaria

    George Katranas

  5. Department of Biology, Ecology and Earth Science, University of Calabria, Arcavacata di Rende, Cosenza, Italy

    Michela Ricca

  6. Bulgarian Academy of Sciences, Institute of Mathematics and Informatics, Sofia, Bulgaria

    Roussanka Loukanova

  7. Bulgarian Academy of Sciences, Institute of Mathematics and Informatics, Salamanca, Spain

    Javier Prieto

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Pinto, F.J. (2021). Representation of the Knowledge and Fuzzy Reasoning. In: Rodríguez González, S., et al. Distributed Computing and Artificial Intelligence, Special Sessions, 17th International Conference. DCAI 2020. Advances in Intelligent Systems and Computing, vol 1242. Springer, Cham. https://doi.org/10.1007/978-3-030-53829-3_8

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