The Nature of the Unnormalized Beliefs Encountered in the Transferable Belief Model

TL;DR

This paper investigates the characteristics of unnormalized belief functions in the transferable belief model, focusing on the implications of assigning belief masses to the empty set.

Contribution

It provides an analysis of the nature of unnormalized beliefs within the transferable belief model, clarifying their properties and significance.

Findings

Unnormalized beliefs involve positive masses assigned to the empty set.

These beliefs have specific mathematical properties within the model.

The analysis enhances understanding of belief normalization in the model.

Abstract

Within the transferable belief model, positive basic belief masses can be allocated to the empty set, leading to unnormalized belief functions. The nature of these unnormalized beliefs is analyzed.