Fuzzy dispersion measures

İremuçal Sarı; Cengiz Kahraman; Özgür Kabak

doi:10.1007/978-3-319-39014-7_6

Fuzzy dispersion measures

İremuçal Sarı, Cengiz Kahraman^*, Özgür Kabak

^*Bu çalışma için yazışmadan sorumlu yazar

Endüstri Mühendisliği Bölümü

Araştırma sonucu: ???type-name??? › Makale › bilirkişi

1 Atıf (Scopus)

Özet

Dispersion measures are very useful tools to measure the variability of data. Under uncertainty, the fuzzy set theory can be used to capture the vagueness in the data. This chapter develops the fuzzy versions of classical dispersion measures namely, standard deviation and variance, mean absolute deviation, coefficient of variation, range, and quartiles. Initially, we summarize the classical dispersion measures and then we develop their fuzzy versions for triangular fuzzy data. A numerical example for each fuzzy dispersion measure is given.

Orijinal dil	İngilizce
Sayfa (başlangıç-bitiş)	85-99
Sayfa sayısı	15
Dergi	Studies in Fuzziness and Soft Computing
Hacim	343
DOI'lar	https://doi.org/10.1007/978-3-319-39014-7_6
Yayın durumu	Yayınlandı - 2016

Bibliyografik not

Publisher Copyright:
© Springer International Publishing Switzerland 2016.

Belgeye Erişim

10.1007/978-3-319-39014-7_6

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

@article{6ac360936c5c412d87d4f77712f2e957,

title = "Fuzzy dispersion measures",

abstract = "Dispersion measures are very useful tools to measure the variability of data. Under uncertainty, the fuzzy set theory can be used to capture the vagueness in the data. This chapter develops the fuzzy versions of classical dispersion measures namely, standard deviation and variance, mean absolute deviation, coefficient of variation, range, and quartiles. Initially, we summarize the classical dispersion measures and then we develop their fuzzy versions for triangular fuzzy data. A numerical example for each fuzzy dispersion measure is given.",

keywords = "Absolute deviation, Coefficient of variation, Dispersion measures, Fuzzy sets, Quartiles, Range, Standard deviation, Variance",

author = "İremu{\c c}al Sarı and Cengiz Kahraman and {\"O}zg{\"u}r Kabak",

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

year = "2016",

doi = "10.1007/978-3-319-39014-7_6",

language = "English",

volume = "343",

pages = "85--99",

journal = "Studies in Fuzziness and Soft Computing",

issn = "1434-9922",

publisher = "Springer Verlag",

}

TY - JOUR

T1 - Fuzzy dispersion measures

AU - Sarı, İremuçal

AU - Kahraman, Cengiz

AU - Kabak, Özgür

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

PY - 2016

Y1 - 2016

N2 - Dispersion measures are very useful tools to measure the variability of data. Under uncertainty, the fuzzy set theory can be used to capture the vagueness in the data. This chapter develops the fuzzy versions of classical dispersion measures namely, standard deviation and variance, mean absolute deviation, coefficient of variation, range, and quartiles. Initially, we summarize the classical dispersion measures and then we develop their fuzzy versions for triangular fuzzy data. A numerical example for each fuzzy dispersion measure is given.

AB - Dispersion measures are very useful tools to measure the variability of data. Under uncertainty, the fuzzy set theory can be used to capture the vagueness in the data. This chapter develops the fuzzy versions of classical dispersion measures namely, standard deviation and variance, mean absolute deviation, coefficient of variation, range, and quartiles. Initially, we summarize the classical dispersion measures and then we develop their fuzzy versions for triangular fuzzy data. A numerical example for each fuzzy dispersion measure is given.

KW - Absolute deviation

KW - Coefficient of variation

KW - Dispersion measures

KW - Fuzzy sets

KW - Quartiles

KW - Range

KW - Standard deviation

KW - Variance

UR - http://www.scopus.com/inward/record.url?scp=84978732478&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-39014-7_6

DO - 10.1007/978-3-319-39014-7_6

M3 - Article

AN - SCOPUS:84978732478

SN - 1434-9922

VL - 343

SP - 85

EP - 99

JO - Studies in Fuzziness and Soft Computing

JF - Studies in Fuzziness and Soft Computing

ER -

Fuzzy dispersion measures

Özet

Bibliyografik not

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap