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A Method of Intuitionistic Fuzzy Reasoning Based on Inclusion Degree and Similarity Measure

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Book cover Fuzzy Information and Engineering

Part of the book series: Advances in Soft Computing ((AINSC,volume 40))

Abstract

In this paper, a new method of intuitionistic fuzzy reasoning is proposed. First, the definition of inclusion degree based on fuzzy implication operators and the similarity measure between intuitionistic fuzzy sets(IFSs) are introduced. Then, the similarity measure of IFSs is applied to intuitionistic fuzzy reasoning. Finally, the process of reasoning is illustrated with an example.

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Author information

Authors and Affiliations

  1. Department of Science, Shenyang Institute of Aeronautical Engineering, Shenyang, 110136, P.R. China

    Lin Lin

  2. Department of Mathematics, Liaoning Normal University, Dalian, 116029, P.R. China

    Xue-hai Yuan

Authors
  1. Lin Lin
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  2. Xue-hai Yuan
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Editor information

Bing-Yuan Cao

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© 2007 Springer-Verlag Berlin Heidelberg

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Lin, L., Yuan, Xh. (2007). A Method of Intuitionistic Fuzzy Reasoning Based on Inclusion Degree and Similarity Measure. In: Cao, BY. (eds) Fuzzy Information and Engineering. Advances in Soft Computing, vol 40. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71441-5_35

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  • DOI: https://doi.org/10.1007/978-3-540-71441-5_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-71440-8

  • Online ISBN: 978-3-540-71441-5

  • eBook Packages: EngineeringEngineering (R0)

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