Probabilistic correlation coefficients for possibility distributions

R. Fullér, István A. Harmati, P. 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 - 2011
Event15th International Conference on Intelligent Engineering Systems, INES 2011 - Poprad, Slovakia
Duration: Jun 23 2011Jun 25 2011

Other

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

Fingerprint

Probability distributions

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] https://doi.org/10.1109/INES.2011.5954737

Probabilistic correlation coefficients for possibility distributions. / Fullér, R.; Harmati, István A.; Várlaki, P.

INES 2011 - 15th International Conference on Intelligent Engineering Systems, Proceedings. 2011. p. 153-158 5954737.

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

Fullér, R, Harmati, IA & Várlaki, P 2011, Probabilistic correlation coefficients for possibility distributions. in INES 2011 - 15th International Conference on Intelligent Engineering Systems, Proceedings., 5954737, pp. 153-158, 15th International Conference on Intelligent Engineering Systems, INES 2011, Poprad, Slovakia, 6/23/11. https://doi.org/10.1109/INES.2011.5954737
Fullér R, Harmati IA, Várlaki P. Probabilistic correlation coefficients for possibility distributions. In INES 2011 - 15th International Conference on Intelligent Engineering Systems, Proceedings. 2011. p. 153-158. 5954737 https://doi.org/10.1109/INES.2011.5954737
Fullér, R. ; Harmati, István A. ; Várlaki, P. / Probabilistic correlation coefficients for possibility distributions. INES 2011 - 15th International Conference on Intelligent Engineering Systems, Proceedings. 2011. pp. 153-158
@inproceedings{435c9f5de1074b7f9ea579b5a169f33b,
title = "Probabilistic correlation coefficients for possibility distributions",
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.",
author = "R. Full{\'e}r and Harmati, {Istv{\'a}n A.} and P. V{\'a}rlaki",
year = "2011",
doi = "10.1109/INES.2011.5954737",
language = "English",
isbn = "9781424489565",
pages = "153--158",
booktitle = "INES 2011 - 15th International Conference on Intelligent Engineering Systems, Proceedings",

}

TY - GEN

T1 - Probabilistic correlation coefficients for possibility distributions

AU - Fullér, R.

AU - Harmati, István A.

AU - Várlaki, P.

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=80051764054&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=80051764054&partnerID=8YFLogxK

U2 - 10.1109/INES.2011.5954737

DO - 10.1109/INES.2011.5954737

M3 - Conference contribution

SN - 9781424489565

SP - 153

EP - 158

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

ER -