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Fuzzy Statistical Decision-Making Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Fuzzy Dispersion Measures

Authors : İrem Uçal Sarı, Cengiz Kahraman, Özgür Kabak

Published in: Fuzzy Statistical Decision-Making

Publisher: Springer International Publishing

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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.

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previous chapter Fuzzy Central Tendency Measures
next chapter Sufficiency, Completeness, and Unbiasedness Based on Fuzzy Sample Space
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Metadata
Title
Fuzzy Dispersion Measures
Authors
İrem Uçal Sarı
Cengiz Kahraman
Özgür Kabak
Copyright Year
2016
Book
Fuzzy Statistical Decision-Making

Print ISBN: 978-3-319-39012-3

Electronic ISBN: 978-3-319-39014-7

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-39014-7_6

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