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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Veremme, A. Dupont, D. Lefevre, E. Mercier, D. |
| Copyright Year | 2009 |
| Description | Author affiliation: U-Artois, LGI2A EA 3926, Technoparc Futura, F-62400 Béthune, France (Lefevre, E.; Mercier, D.) || HEI, Département Ingénierie et Sciences du Vivant, 13 rue de Toul, F-59800 Lille, France (Veremme, A.; Dupont, D.) |
| Abstract | Within the framework of evidence theory, the construction of mass functions remains an important problem which can considerably influence final results. Several propositions of construction are available in literature but generally, these methods do not consider the belief masses on compound hypotheses and do not exploit all the strengths of the theory. In this article, we propose two methods of grouping hypotheses allowing to reduce the number of focal elements during the construction of mass functions. The first one is based on a well-known approach in cartography and geoinformation fields: Jenks' method. The second one is based on information criteria. We present and confront both methods. Results in a forensic entomology application are then presented. |
| Starting Page | 498 |
| Ending Page | 505 |
| File Size | 445760 |
| Page Count | 8 |
| File Format | |
| ISBN | 9780982443804 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-07-06 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | ISIF |
| Subject Keyword | Forensics Decision support systems Medical diagnostic imaging Displays Knowledge management Information processing Uncertainty forensic entomology mass function construction compound hypotheses belief theory evidence theory Jenks' method information criteria |
| Content Type | Text |
| Resource Type | Article |
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