The Generalized Pignistic Transformation
Artificial Intelligence
2007-05-23 v1
Abstract
This 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.
Cite
@article{arxiv.cs/0409007,
title = {The Generalized Pignistic Transformation},
author = {Jean Dezert and Florentin Smarandache and Milan Daniel},
journal= {arXiv preprint arXiv:cs/0409007},
year = {2007}
}
Comments
8 pages, 3 graphs, many tables. The Seventh International Conference on Information Fusion, Stockholm, Sweden, 28 June - 1 July 2004