The Generalized Pignistic Transformation

Simple item page
dc.creatorDezert, Jean
dc.creatorSmarandache, Florentin
dc.creatorDaniel, Milan
dc.date2004-09-06
dc.date.accessioned2026-07-07T03:21:45Z
dc.date.available2026-07-07T03:21:45Z
dc.descriptionThis paper presents in detail the generalized pignistic transformation (GPT) succinctly developed in the Dezert-Smarandache Theory (DSmT) framework as a tool for decision process. The GPT allows to provide a subjective probability measure from any generalized basic belief assignment given by any corpus of evidence. We mainly focus our presentation on the 3D case and provide the complete result obtained by the GPT and its validation drawn from the probability theory.
dc.description8 pages, 3 graphs, many tables. The Seventh International Conference on Information Fusion, Stockholm, Sweden, 28 June - 1 July 2004
dc.identifierhttps://arxiv.org/abs/cs/0409007
dc.identifierhttp://arxiv.org/abs/cs/0409007
dc.identifierProceedings of the Seventh International Conference on Information Fusion, International Society for Information Fusion, Stockholm, Sweden, 384-391, 2004
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/32323
dc.subjectArtificial Intelligence
dc.subjectI.2.4
dc.titleThe Generalized Pignistic Transformation
dc.typetext

Files

Collections

arXiv