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Introduction to Fuzzy Sets and Possibility Theory

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Optimization Models Using Fuzzy Sets and Possibility Theory

Part of the book series: Theory and Decision Library ((TDLB,volume 4))

Abstract

The purpose of this introduction is to discuss the essence of fuzzy sets and possibility theory in order to make the interested reader familiar with the basic elements of these growing fields of research. Thus such issues as basic definitions and properties of a fuzzy set, fundamental operations, fuzzy relations, the extension principle, fuzzy numbers, linguistic variables and some basic elements of possibility theory are briefly reviewed.

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Author information

Authors and Affiliations

  1. Institute of Statistics and Operations Research, University of Trento, Via Verdi 26, 38100, Trento, Italy

    Mario Fedrizzi

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  1. Mario Fedrizzi
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Editor information

Editors and Affiliations

  1. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    J. Kacprzyk

  2. International Institute for Applied Systems Analysis, Laxenburg, Austria

    S. A. Orlovski

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© 1987 Springer Science+Business Media Dordrecht

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Fedrizzi, M. (1987). Introduction to Fuzzy Sets and Possibility Theory. In: Kacprzyk, J., Orlovski, S.A. (eds) Optimization Models Using Fuzzy Sets and Possibility Theory. Theory and Decision Library, vol 4. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-3869-4_2

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  • DOI: https://doi.org/10.1007/978-94-009-3869-4_2

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-8220-4

  • Online ISBN: 978-94-009-3869-4

  • eBook Packages: Springer Book Archive

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