Fusion of sources of evidence with different importances and reliabilities

Florentín Smarandache · Jean Dezert · Jean‐Marc Tacnet

130 citations0/0 files storedInternational Conference on Information Fusion (FUSION)

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Multi-Criteria Decision Making Bayesian Modeling and Causal Inference Rough Sets and Fuzzy Logic

Abstract

This paper presents a new approach for combining sources of evidences with different importances and reliabilities. Usually, the combination of sources of evidences with different reliabilities is done by the classical Shafer's discounting approach. Therefore, to consider unequal importances of sources, if any, a similar reliability discounting process is generally used, making no difference between the notion of importance and reliability. In fact, in multicriteria decision context, these notions should be clearly distinguished. This paper shows how this can be done and we provide simple examples to show the differences between both solutions for managing importances and reliabilities of sources. We also discuss the possibility for mixing them in a global fusion process.

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References

2000Fundamentals of Decision Making and Priority Theory With the Analytic Hierarchy Process 1990The combination of evidence in the transferable belief model 2004Advances and Applications of DSmT for Information Fusion 2020Advances and Applications of DSmT for Information Fusion : Collected Works 2008Conflict measure for the discounting operation on belief functions

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