On weighted possibilistic informational coefficient of correlation

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5 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 languageEnglish
Pages (from-to)592-599
Number of pages8
JournalInternational Journal of Mathematical Models and Methods in Applied Sciences
Volume6
Issue number4
Publication statusPublished - Dec 19 2012

Keywords

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

ASJC Scopus subject areas

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

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