On weighted possibilistic informational coefficient of correlation

R. Fullér, István Á Harmati, P. Várlaki, I. Rudas

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

In their previous works Fullér et al. introduced the notions of weighted possibilistic correlation coefficient and correlation ratio as measures of dependence between possibility distributions (fuzzy numbers). In this paper we introduce a new measure of strength of dependence between marginal possibility distributions, which is based on the informational coefficient of correlation. We will show some examples that demonstrate some good properties of the proposed measure.

Original language English 592-599 8 International Journal of Mathematical Models and Methods in Applied Sciences 6 4 Published - 2012

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Possibility Distribution
Measures of Dependence
Coefficient
Marginal Distribution
Fuzzy numbers
Correlation coefficient
Demonstrate

Keywords

• Correlation
• Fuzzy number
• Measure of dependence
• Mutual information
• Possibility distribution

ASJC Scopus subject areas

• Applied Mathematics
• Computational Mathematics
• Mathematical Physics
• Modelling and Simulation

Cite this

In: International Journal of Mathematical Models and Methods in Applied Sciences, Vol. 6, No. 4, 2012, p. 592-599.

Research output: Contribution to journalArticle

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