Uniform and Partially Uniform Redistribution Rules

TL;DR

This paper introduces two simple, computationally efficient fusion rules for combining basic belief assignments, offering practical alternatives to more complex existing methods within the DSmT framework.

Contribution

The paper proposes two novel fusion rules for belief combination that are simple to implement and computationally less demanding than existing advanced methods.

Findings

Rules are computationally efficient

Applicable as practical alternatives in belief fusion

Potentially useful in real-time systems

Abstract

This short paper introduces two new fusion rules for combining quantitative basic belief assignments. These rules although very simple have not been proposed in literature so far and could serve as useful alternatives because of their low computation cost with respect to the recent advanced Proportional Conflict Redistribution rules developed in the DSmT framework.