Probabilistic correlation coefficients for possibility distributions

Robert Fullér, István A. Harmati, Péter Várlaki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

The goal of this paper to introduce two alternative definitions for the possibilistic correlation coefficient by equipping the level sets of a joint possibility distribution with nonuniform probability distributions which are directly derived from the shape function of the joint possibility distribution. We also show some examples for their exact calculation for joint possibility distributions defined by Mamdani, Łukasiewicz and Larsen triangular norms.

Original languageEnglish
Title of host publicationINES 2011 - 15th International Conference on Intelligent Engineering Systems, Proceedings
Pages153-158
Number of pages6
DOIs
Publication statusPublished - Aug 22 2011
Event15th International Conference on Intelligent Engineering Systems, INES 2011 - Poprad, Slovakia
Duration: Jun 23 2011Jun 25 2011

Publication series

NameINES 2011 - 15th International Conference on Intelligent Engineering Systems, Proceedings

Other

Other15th International Conference on Intelligent Engineering Systems, INES 2011
CountrySlovakia
CityPoprad
Period6/23/116/25/11

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ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems

Cite this

Fullér, R., Harmati, I. A., & Várlaki, P. (2011). Probabilistic correlation coefficients for possibility distributions. In INES 2011 - 15th International Conference on Intelligent Engineering Systems, Proceedings (pp. 153-158). [5954737] (INES 2011 - 15th International Conference on Intelligent Engineering Systems, Proceedings). https://doi.org/10.1109/INES.2011.5954737