A new generalization of the proportional conflict redistribution rule stable in terms of decision
Arnaud Martin (E3I2), Christophe Osswald (E3I2)

TL;DR
This paper introduces a new generalized proportional conflict redistribution rule within the Dezert-Smarandache extension of belief function theory, emphasizing its stability and effectiveness for decision-making in conflict management.
Contribution
It proposes a novel generalized rule for conflict redistribution that improves decision reliability in belief function theory applications.
Findings
The new rule outperforms existing methods in didactic examples.
It provides more stable decisions in generated data scenarios.
The rule is recommended for practical conflict management in belief functions.
Abstract
In this chapter, we present and discuss a new generalized proportional conflict redistribution rule. The Dezert-Smarandache extension of the Demster-Shafer theory has relaunched the studies on the combination rules especially for the management of the conflict. Many combination rules have been proposed in the last few years. We study here different combination rules and compare them in terms of decision on didactic example and on generated data. Indeed, in real applications, we need a reliable decision and it is the final results that matter. This chapter shows that a fine proportional conflict redistribution rule must be preferred for the combination in the belief function theory.
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Taxonomy
TopicsMulti-Criteria Decision Making · Optimization and Mathematical Programming · Advanced Algebra and Logic
