A technique to compensate for disparate sources in evidence combination

Mogre, A.; McLaren, Robert W.; Keller, James M.

doi:10.1109/icsmc.1989.71450

Cited by 2 publications

(1 citation statement)

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“…One approach in Belief Theory, using discounting of evidence, is being further studied and extended. 8 The main thrust of this research has been to develop and implement a measure that encompasses different uncertainties in the same given proposition (or, in the larger sense, in the same rule). Of particular interest are propositions in which the uncertainties could be typically classified as belief theoretic or fuzzy or perhaps, a combination of both.…”

Section: Ongoing Workmentioning

confidence: 99%

An Approach To Coordinated Uncertainty Management In Automatic Target Recognition

Mogre

McLaren

1990

Intelligent Robots and Computer Vision VIII: Algorithms and Techniques

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The Automatic Target Recognition (ATR) problem generally involves the acquisition, digitization and processing of video /IR signals from a given scene, in which the "targets" of interest are to be identified. There has been, up to date, no single effective procedure to handle a wide class of targets acquired by different sensors under different conditions. There has been, however, increasing success in decision making under uncertainty, using a rule based approach. In this paper, the need to appropriately model the typPS of uncertainties inherent in the decision process, and the need to compensate for disparate evidence sources is emphasized. Along with this, a systematic approach towards uncertainty management within the ATR problem domain is presented.

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Section: Ongoing Workmentioning

confidence: 99%