Abstract
Evidential reasoning requirements that Decision Support Systems (DSS) must often address necessitate that one must:
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(1)
process incomplete information, which implies that ignorance should be defined mathematically
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(2)
not require a priori information, which usually rules out Bayes reasoning
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(3)
handle conflicts between contact/track so that formalisms such as Dempster- Shafer (DS), where conflict is precisely defined, are favored
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(4)
have a real-time method, which means that DS truncation is a must
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(5)
present the operator with the best ID, i.e. give preference to singletons
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(6)
present the operator with the next best thing, i.e. doublets, then triplets...
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(7)
be tested operationally, which translates into building complex scenarios
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(8)
ensure that ordinary DS explodes, which requires a large complex Platform Data Base (PDB)
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(9)
resist Counter Measures (CM) such that several contact reports should conflict with information contained in the PDB
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(10)
resist false associations, i.e. ESM reports associated to wrong track
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References
Valin, P. and Boily, D., (2000) “Truncated Dempster-Shafer Optimization and Benchmarking”, SPIE Aerosense 2000, in Sensor Fusion: Architecture, Algorithms and Applications IV, Vol. 4051, pp. 237–246, Orlando.
Jouan, A. Valin, P. and Bossé, E., (1999) “Testbed for Fusion of Imaging and Non-Imaging Sensor Attributes in Airborne Surveillance Missions”, FUSION’ 99 conference, Vol. 2, pp. 823–830, Sunnyvale, CA.
Cheaito, A. Lecours, M. and Bossé, E., (1999) “Study of a modified Dempster-Shafer approach using an Expected Utility Interval decision rule”, SPIE Aerosense 1999, in Sensor Fusion: Architecture, Algorithms and Applications III, Vol. 3719, pp. 34–42, Orlando.
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© 2002 Springer Science+Business Media Dordrecht
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Valin, P., Boily, D. (2002). Optimization and Benchmarking of Truncated Dempster-Shafer for Airborne Surveillance. In: Hyder, A.K., Shahbazian, E., Waltz, E. (eds) Multisensor Fusion. NATO Science Series, vol 70. Springer, Dordrecht. https://doi.org/10.1007/978-94-010-0556-2_30
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DOI: https://doi.org/10.1007/978-94-010-0556-2_30
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