A new distance between two bodies of evidence

By A. Jousselme, Dominic Grenier, É. Bossé. Information Fusion, 2001

908 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/ce640203216e2a2cd75532c8408509f458145cbe

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Malcolm John Beynon
2. Weiru Liu
3. Thierry Denoeux
4. Robi Polikar
5. Yan Zhao
6. Yiyu Yao
7. Kuttiannan Thangavel
8. A. Pethalakshmi

In Management Science and Operations Research

1. Malcolm John Beynon
2. Weiru Liu
3. Thierry Denoeux

In Statistics and Probability

1. Malcolm John Beynon
2. Thierry Denoeux

Citations in the corpus

• Conjunctive and disjunctive combination of belief functions induced by nondistinct bodies of evidence (2008, methodology): “Parameter s was varied between 0 and 1, and for each s value the discrepancy between m12 = m1 s ,⊥s m2 and me was measured by Jousselme’s distance [18] defined:”
• Analyzing the degree of conflict among belief functions (2006, background): “Keywords: Dempster–Shafer theory; Dempster’s combination rule; Conflicting beliefs; Betting commitments”
• The Role of the DS/AHP in Identifying Inter-Group Alliances and Majority Rule Within Group Decision Making (2006, methodology): “While a specific iterative order of aggregation of BOEs is unnecessary (the same individual or group BOE obtained irrespectively), a distance measure between two BOEs is utilised to elucidate an order (Jousselme et al. 2001).”