OATAO - Open Archive Toulouse Archive Ouverte Open Access Week

Practical Methods for Constructing Possibility Distributions

Dubois, Didier and Prade, Henri Practical Methods for Constructing Possibility Distributions. (2015) International Journal of Intelligent Systems, 31 (3). 215-239. ISSN 0884-8173

[img]
Preview
(Document in English)

PDF (Author's version) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
427kB

Official URL: http://dx.doi.org/10.1002/int.21782

Abstract

This survey paper provides an overview of existing methods for building possibility distributions. We both consider the case of qualitative possibility theory, where the scale remains ordinal, and the case of quantitative possibility theory, where the scale is the real interval [0, 1]. Methods may be order-based or similarity-based for qualitative possibility distributions, whereas statistical methods apply in the quantitative case and then possibilities encode nested random epistemic sets or upper bounds of probabilities. But distance-based approaches, or expert estimates, may be also exploited in the quantitative case.

Item Type:Article
Additional Information:Thanks to Wiley editor. The definitive version is available at http://onlinelibrary.wiley.com/doi/10.1002/int.21782/abstract;jsessionid=B2FB5C26B7B65265B7E40DCCAFA6DB1B.f04t01 The original PDF can be found at: http://onlinelibrary.wiley.com/doi/10.1002/int.21782/epdf
HAL Id:hal-01538306
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Laboratory name:
Statistics:download
Deposited By: IRIT IRIT
Deposited On:07 Jun 2017 13:51

Repository Staff Only: item control page