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2016
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.
İrem Uçal Sarı +2 more
openaire +1 more source
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.
İrem Uçal Sarı +2 more
openaire +1 more source
Time to add screening for financial hardship as a quality measure?
Ca-A Cancer Journal for Clinicians, 2021Cathy J Bradley +2 more
exaly
2016
The last chapter considered several measures in which we can summarize a set of data using just one value. However, as was concluded, these single values do not say very much about the data itself and how it is dispersed (its spread). For instance, it is possible to take two separate sets of data with the same mean, but with great differences in ...
openaire +1 more source
The last chapter considered several measures in which we can summarize a set of data using just one value. However, as was concluded, these single values do not say very much about the data itself and how it is dispersed (its spread). For instance, it is possible to take two separate sets of data with the same mean, but with great differences in ...
openaire +1 more source
A measure of smell enables the creation of olfactory metamers
Nature, 2020Aharon Ravia, Ofer Perl, David Harel
exaly