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Fuzzy Sets and Systems before the Fuzzy Boom

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Advances on Computational Intelligence (IPMU 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 297))

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Abstract

In this paper I present some historical results on the development of the theory of fuzzy sets in its first decade. In that time before the Fuzzy Boom in control theory and other technical applications some fuzzy approaches in the areas of logic, algorithms and linguistics led to philosophical considerations on the fuzziness of meaning.

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Author information

Authors and Affiliations

  1. European Centre for Soft Computing Edificio de Investigación, Calle Gonzalo Gutiérrez Quirós S/N, 33600, Mieres, Asturias, Spain

    Rudolf Seising

Authors
  1. Rudolf Seising
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Editor information

Editors and Affiliations

  1. Faculty of Economics, University of Catania, Corso Italia, 55, 95129, Catania, Italy

    Salvatore Greco  & Benedetto Matarazzo  & 

  2. Université Pierre et Marie Curie - Paris6, CNRS UMR 7606, DAPA, LIP6 8, rue du Capitaine Scott, F-75015, Paris, France

    Bernadette Bouchon-Meunier

  3. Dip. Matematica e Informatica, Università di Perugia, 06123, Perugia, Italy

    Giulianella Coletti

  4. Department of Computer and Management Science, University of Trento, Via Inama 5, 38122, Trento, Italy

    Mario Fedrizzi

  5. Machine Intelligence Institute, IONA College, 10801, New Rochelle, NY, USA

    Ronald R. Yager

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© 2012 Springer-Verlag Berlin Heidelberg

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Seising, R. (2012). Fuzzy Sets and Systems before the Fuzzy Boom. In: Greco, S., Bouchon-Meunier, B., Coletti, G., Fedrizzi, M., Matarazzo, B., Yager, R.R. (eds) Advances on Computational Intelligence. IPMU 2012. Communications in Computer and Information Science, vol 297. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31709-5_55

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  • DOI: https://doi.org/10.1007/978-3-642-31709-5_55

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31708-8

  • Online ISBN: 978-3-642-31709-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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