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Fuzzy Central Tendency Measures

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Fuzzy Statistical Decision-Making

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 343))

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Abstract

This chapter converts the classical central tendency measures to their fuzzy cases. Fuzzy mean, fuzzy mode and fuzzy median are explained by numerical examples. Fuzzy frequency distribution is another subtitle of this chapter. Classical graphical illustrations are examined under fuzziness. A numerical example for each central tendency measure is given.

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References

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Author information

Authors and Affiliations

  1. Management Faculty, Department of Industrial Engineering, Istanbul Technical University, Istanbul, Turkey

    Cengiz Kahraman & İrem Uçal Sarı

Authors
  1. Cengiz Kahraman
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  2. İrem Uçal Sarı
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Corresponding author

Correspondence to Cengiz Kahraman .

Editor information

Editors and Affiliations

  1. Management Faculty, Industrial Engineering Department, Istanbul Technical University, Istanbul, Turkey

    Cengiz Kahraman

  2. Management Facult, Industrial Engineering Department, Istanbul Technical University, Istanbul, Turkey

    Özgür Kabak

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© 2016 Springer International Publishing Switzerland

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Kahraman, C., Sarı, İ.U. (2016). Fuzzy Central Tendency Measures. In: Kahraman, C., Kabak, Ö. (eds) Fuzzy Statistical Decision-Making. Studies in Fuzziness and Soft Computing, vol 343. Springer, Cham. https://doi.org/10.1007/978-3-319-39014-7_5

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  • DOI: https://doi.org/10.1007/978-3-319-39014-7_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39012-3

  • Online ISBN: 978-3-319-39014-7

  • eBook Packages: EngineeringEngineering (R0)

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