Fuzzy central tendency measures

Cengiz Kahraman; İrem Uçal Sarı

doi:10.1007/978-3-319-39014-7_5

Fuzzy central tendency measures

Cengiz Kahraman^*, İrem Uçal Sarı

^*Corresponding author for this work

Department of Industrial Engineering

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	65-83
Number of pages	19
Journal	Studies in Fuzziness and Soft Computing
Volume	343
DOIs	https://doi.org/10.1007/978-3-319-39014-7_5
Publication status	Published - 2016

Bibliographical note

Publisher Copyright:
© Springer International Publishing Switzerland 2016.

Keywords

Arithmetic mean
Fuzzy sets
Geometric mean
Harmonic mean
Median
Mode
Quadratic mean

Access to Document

10.1007/978-3-319-39014-7_5

Cite this

@article{793023f1acc34513a6065fae13077a57,

title = "Fuzzy central tendency measures",

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.",

keywords = "Arithmetic mean, Fuzzy sets, Geometric mean, Harmonic mean, Median, Mode, Quadratic mean",

author = "Cengiz Kahraman and Sarı, {İrem U{\c c}al}",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.",

year = "2016",

doi = "10.1007/978-3-319-39014-7_5",

language = "English",

volume = "343",

pages = "65--83",

journal = "Studies in Fuzziness and Soft Computing",

issn = "1434-9922",

publisher = "Springer Verlag",

}

TY - JOUR

T1 - Fuzzy central tendency measures

AU - Kahraman, Cengiz

AU - Sarı, İrem Uçal

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2016.

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

KW - Arithmetic mean

KW - Fuzzy sets

KW - Geometric mean

KW - Harmonic mean

KW - Median

KW - Mode

KW - Quadratic mean

UR - http://www.scopus.com/inward/record.url?scp=84978706306&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-39014-7_5

DO - 10.1007/978-3-319-39014-7_5

M3 - Article

AN - SCOPUS:84978706306

SN - 1434-9922

VL - 343

SP - 65

EP - 83

JO - Studies in Fuzziness and Soft Computing

JF - Studies in Fuzziness and Soft Computing

ER -

Fuzzy central tendency measures

Abstract

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this