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A Quantitative View on Quasi Fuzzy Numbers

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Book cover Combining Experimentation and Theory

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 271))

Abstract

In this paper we generalize the principles of possibilistic mean value, variance, covariance and correlation of fuzzy numbers to a more general class of fuzzy subsets of the real line: to quasi fuzzy numbers.

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References

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Author information

Authors and Affiliations

  1. IAMSR, Åbo Akademi University, Joukahaisenkatu 3-5, FIN-20520, Åbo, Finland

    Christer Carlsson & Robert Fullér

  2. Turku Centre for Computer Science, Joukahaisenkatu 3-5, FIN-20520, Åbo, Finland

    József Mezei

Authors
  1. Christer Carlsson
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  2. Robert Fullér
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  3. József Mezei
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Corresponding author

Correspondence to Christer Carlsson .

Editor information

Editors and Affiliations

  1. European Center for Soft Computing, Mieres, Asturias, 33600, Spain

    Enric Trillas

  2. , Computing and Decision Sciences, Coolidge Fellow GE Global Research, NY, 12309, USA

    Piero P. Bonissone

  3. , Edificio Científico-Tecnológico, European Centre of Soft Computing, Calle Gonzalo Gutiérrez Quirós S/N Mieres, Asturias, 33600, Spain

    Luis Magdalena

  4. Systems Research Institute, Polish Academy of Sciences, ul. Newelska 6, Warsaw, 01--447, Poland

    Janusz Kacprzyk

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© 2012 Springer-Verlag Berlin Heidelberg

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Carlsson, C., Fullér, R., Mezei, J. (2012). A Quantitative View on Quasi Fuzzy Numbers. In: Trillas, E., Bonissone, P., Magdalena, L., Kacprzyk, J. (eds) Combining Experimentation and Theory. Studies in Fuzziness and Soft Computing, vol 271. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24666-1_16

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  • DOI: https://doi.org/10.1007/978-3-642-24666-1_16

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24665-4

  • Online ISBN: 978-3-642-24666-1

  • eBook Packages: EngineeringEngineering (R0)

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