An Algorithm for Quasi-Associative and Quasi-Markovian Rules of Combination in Information Fusion

TL;DR

This paper introduces a simple algorithm that enhances the associativity and Markovian properties of fusion rules in information fusion, along with a new SDL-improved rule for better conflict management.

Contribution

It proposes a novel algorithm for combining fusion rules to achieve associativity and Markovian properties, and introduces a new SDL-improved rule.

Findings

Algorithm successfully ensures associativity in fusion rules

Algorithm maintains Markovian property for dynamic fusion

New SDL-improved rule enhances conflict resolution

Abstract

In this paper one proposes a simple algorithm of combining the fusion rules, those rules which first use the conjunctive rule and then the transfer of conflicting mass to the non-empty sets, in such a way that they gain the property of associativity and fulfill the Markovian requirement for dynamic fusion. Also, a new rule, SDL-improved, is presented.