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Volumn 2, Issue , 2000, Pages

Characterization of mine detection sensors in terms of belief functions and their fusion, first results

Author keywords

Dempster Shafer method; discounting factors; humanitarian mine detection; mass assignment; sensor fusion

Indexed keywords

INFORMATION FUSION; UNCERTAINTY ANALYSIS;

EID: 24544451059     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IFIC.2000.859894     Document Type: Conference Paper
Times cited : (22)

References (15)
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    • Gros, B.1    Bruschini, C.2
  • 5
    • 84901461957 scopus 로고    scopus 로고
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    • http://www.demining.brtrc.com/problem.htm. Minefacts database.
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    • Belief functions: The disjunctive rule of combination and the generalized bayesian theorem
    • Ph. Smets. Belief Functions: the Disjunctive Rule of Combination and the Generalized Bayesian Theorem. International Journal of Approximate Reasoning, (9):1-35, 1993.
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    • Smets, Ph.1
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    • What is dempster-shafer's model?
    • R.R. Yager, M. Fedrizzi and J. Kacprzyk (eds.), Wiley
    • Ph. Smets. What is Dempster-Shafer's model? In Advances in the Dempster-Shafer Theory of Evidence, R.R. Yager, M. Fedrizzi and J. Kacprzyk (eds.), pages 5-34. Wiley, 1994.
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  • 13
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    • Probability, possibility, belief: Which and where?
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    • Metallic shape detection and recognition with a metal detector
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.