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On Selection of Relevant Fuzzy Implications in Approximate Reasoning

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Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2018 (AISI 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 845))

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Abstract

The paper describes a methodology for selecting relevant fuzzy implications in forward and backward reasoning. The proposed methodology is based on the functional representation of fuzzy implications and dependencies between fuzzy implications. This can be useful for the design of an inference engine based on the rule knowledge for a given rule-based system.

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Acknowledgments

This work was partially supported by the Center for Innovation and Transfer of Natural Sciences and Engineering Knowledge at the University of Rzeszów. The author is also very grateful to the anonymous reviewer for giving him precious and helpful comments.

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Authors and Affiliations

  1. Faculty of Mathematics and Natural Sciences, University of Rzeszów, Rzeszów, Poland

    Zbigniew Suraj

Authors
  1. Zbigniew Suraj
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Correspondence to Zbigniew Suraj .

Editor information

Editors and Affiliations

  1. Information Technology Department, Faculty of Computers and Information, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  2. Ain Shams University, Cairo, Egypt

    Mohamed F. Tolba

  3. Dubai International Academic City, The British University in Dubai, Dubai, United Arab Emirates

    Khaled Shaalan

  4. Faculty of Computers and Information, Benha University, Benha, Egypt

    Ahmad Taher Azar

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Suraj, Z. (2019). On Selection of Relevant Fuzzy Implications in Approximate Reasoning. In: Hassanien, A., Tolba, M., Shaalan, K., Azar, A. (eds) Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2018. AISI 2018. Advances in Intelligent Systems and Computing, vol 845. Springer, Cham. https://doi.org/10.1007/978-3-319-99010-1_19

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