Some examples of computing the possibilistic correlation coefficient from joint possibility distributions

Research output: Chapter in Book/Report/Conference proceedingChapter

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Abstract

In this paper we will show some examples for computing the possibilistic correlation coefficient between marginal distributions of a joint possibility distribution. First we consider joint possibility distributions, (1-x-y), (1-x 2-y 2), and (1-x 2-y) on the set {(x,y)≡R2| x≥0,y≥0,x+y≤1}, then we will show (i) how the possibilistic correlation coefficient of two linear marginal possibility distributions changes from zero to -1/2, and from -1/2 to -3/5 by taking out bigger and bigger parts from the level sets of a their joint possibility distribution; (ii) how to compute the autocorrelation coefficient of fuzzy time series with linear fuzzy data.

Original languageEnglish
Title of host publicationStudies in Computational Intelligence
Pages153-170
Number of pages18
Volume313
DOIs
Publication statusPublished - 2010

Publication series

NameStudies in Computational Intelligence
Volume313
ISSN (Print)1860949X

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Autocorrelation
Time series

ASJC Scopus subject areas

  • Artificial Intelligence

Cite this

Fullér, R., Mezei, J., & Várlaki, P. (2010). Some examples of computing the possibilistic correlation coefficient from joint possibility distributions. In Studies in Computational Intelligence (Vol. 313, pp. 153-170). (Studies in Computational Intelligence; Vol. 313). https://doi.org/10.1007/978-3-642-15220-7_13

Some examples of computing the possibilistic correlation coefficient from joint possibility distributions. / Fullér, Robert; Mezei, József; Várlaki, Péter.

Studies in Computational Intelligence. Vol. 313 2010. p. 153-170 (Studies in Computational Intelligence; Vol. 313).

Research output: Chapter in Book/Report/Conference proceedingChapter

Fullér, R, Mezei, J & Várlaki, P 2010, Some examples of computing the possibilistic correlation coefficient from joint possibility distributions. in Studies in Computational Intelligence. vol. 313, Studies in Computational Intelligence, vol. 313, pp. 153-170. https://doi.org/10.1007/978-3-642-15220-7_13
Fullér R, Mezei J, Várlaki P. Some examples of computing the possibilistic correlation coefficient from joint possibility distributions. In Studies in Computational Intelligence. Vol. 313. 2010. p. 153-170. (Studies in Computational Intelligence). https://doi.org/10.1007/978-3-642-15220-7_13
Fullér, Robert ; Mezei, József ; Várlaki, Péter. / Some examples of computing the possibilistic correlation coefficient from joint possibility distributions. Studies in Computational Intelligence. Vol. 313 2010. pp. 153-170 (Studies in Computational Intelligence).
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