Presentation 2014-03-07
Decision Support of Observation Areas by Bayesian Network
Megumi SAWADA, Atsuo OZAKI, Shusuke WATANABE,
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Abstract(in English) Bayesian network is desired as an effective approach for the decision support of the observation areas in a situational awareness (medical diagnosis, intruder surveillance and so on). In each observation area, Occurrence or non-occurrence of the events related to the target of situation awareness (disease, intruder's purpose and so on) changes with time. However, Bayesian network cannot handle the probability event that changes with time. To solve this problem, we proposed the method that introduces the time concept to Bayesian network for the decision support of the observation areas. The proposed method extends Bayesian network to estimate the temporal state (for example, inactive, active and complete) about each phase of the target scenario. Specifically, the time progression of the scenario is estimated by changing the probability value of the temporal state of each phase based on "the temporal state of the before and after phases" and "the acquisition time and the content of observation information". This estimation result would be utilized to recommend the phase of the active state as the target that should be observed preferentially.
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Keyword(in English) Bayesian Network / Observation Planning / Situational Awareness / Decision Support
Paper # MSS2013-90
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Conference Information
Committee MSS
Conference Date 2014/2/27(1days)
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Paper Information
Registration To Mathematical Systems Science and its applications(MSS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Decision Support of Observation Areas by Bayesian Network
Sub Title (in English)
Keyword(1) Bayesian Network
Keyword(2) Observation Planning
Keyword(3) Situational Awareness
Keyword(4) Decision Support
1st Author's Name Megumi SAWADA
1st Author's Affiliation Information Technology R&D Center, Mitsubishi Electric Corp.()
2nd Author's Name Atsuo OZAKI
2nd Author's Affiliation Information Technology R&D Center, Mitsubishi Electric Corp.
3rd Author's Name Shusuke WATANABE
3rd Author's Affiliation Information Technology R&D Center, Mitsubishi Electric Corp.
Date 2014-03-07
Paper # MSS2013-90
Volume (vol) vol.113
Number (no) 466
Page pp.pp.-
#Pages 5
Date of Issue