2013
DOI: 10.4028/www.scientific.net/amr.791-793.2234
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A Hybrid Knowledge-Base System Approach for Disaster Emergency and Relief Decision

Abstract: Hybrid knowledge representation schemes, including production rules, object-oriented programming, and procedural methods, are employed to express expert heuristics and standard emergency knowledge during the development of the knowledge-based system (KBS) for emergency decision for disaster reduction. This approach renders it possible to take advantages of the characteristics of each method. The system can provide the user with advice on Preliminary plan evaluation, Plan optimization, Plan evaluation ,Plan sum… Show more

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Cited by 5 publications
(2 citation statements)
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“…Applications include speech recognition [25], disaster response [26], robotic control [27][28][29][30][31], e-learning [32,33], network management [34], preventing terrorism [35], caring for the elderly [36], project scheduling [37], application testing [38], protein modeling [39,40], software selection [41], risk management [42], system problem diagnosis [43,44], and military control [45]. …”
Section: Blackboard Architecturementioning
confidence: 99%
“…Applications include speech recognition [25], disaster response [26], robotic control [27][28][29][30][31], e-learning [32,33], network management [34], preventing terrorism [35], caring for the elderly [36], project scheduling [37], application testing [38], protein modeling [39,40], software selection [41], risk management [42], system problem diagnosis [43,44], and military control [45]. …”
Section: Blackboard Architecturementioning
confidence: 99%
“…In addition to Hayes-Roth's work, these include robotic control [11][12][13][14][15], e-learning [16,17], network management [18], application testing [19], speech recognition [20], disaster response [21], software selection [22], caring for the elderly [23], project scheduling [24], risk management [25], protein modeling [26,27], system problem diagnosis [28,29], military control [30] and even preventing terrorism [31].…”
Section: A Blackboard Architecturementioning
confidence: 99%