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European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty

ECSQARU 2003: Symbolic and Quantitative Approaches to Reasoning with Uncertainty pp 345–356Cite as

Inclusion Measures in Intuitionistic Fuzzy Set Theory

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2711))

Abstract

Twenty years after their inception, intuitionistic fuzzy sets are on the rise towards making their “claim to fame”. Competing alongside various other, often closely related, formalisms, they are catering to the needs of a more demanding and rapidly expanding knowledge-based systems industry. In this paper, we develop the notion of a graded inclusion indicator within this setting, drawing inspiration from related concepts in fuzzy set theory, yet keeping a keen eye on those particular challenges raised specifically by intuitionistic fuzzy set theory. The use of our work is demonstrated by its applications in approximate reasoning and non-probabilistic entropy calculation.

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Author information

Authors and Affiliations

  1. Department of Mathematics and Computer Science, Fuzziness and Uncertainty Modelling Research Unit, Ghent University, Krijgslaan 281 (S9), B-9000, Gent, Belgium

    Chris Cornelis & Etienne Kerre

Authors
  1. Chris Cornelis
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  2. Etienne Kerre
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Editor information

Editors and Affiliations

  1. Department of Computer Science, Aalborg University, Fredrik Bajersvej 7E, 9220, Aalborg, Denmark

    Thomas Dyhre Nielsen

  2. Department of Computer Science, Hong Kong University of Science and Technology, ClearWater Bay Road, Kowloon, Hong Kong, China,

    Nevin Lianwen Zhang

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© 2003 Springer-Verlag Berlin Heidelberg

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Cornelis, C., Kerre, E. (2003). Inclusion Measures in Intuitionistic Fuzzy Set Theory. In: Nielsen, T.D., Zhang, N.L. (eds) Symbolic and Quantitative Approaches to Reasoning with Uncertainty. ECSQARU 2003. Lecture Notes in Computer Science(), vol 2711. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45062-7_28

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  • DOI: https://doi.org/10.1007/978-3-540-45062-7_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40494-1

  • Online ISBN: 978-3-540-45062-7

  • eBook Packages: Springer Book Archive

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