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A Hybrid Expert System, GIS, and Simulation Modeling for Environmental and Technological Risk Management
Author(s) -
Fedra Kurt,
Winkelbauer Lothar
Publication year - 2002
Publication title -
computer‐aided civil and infrastructure engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.773
H-Index - 82
eISSN - 1467-8667
pISSN - 1093-9687
DOI - 10.1111/1467-8667.00261
Subject(s) - computer science , expert system , geographic information system , risk management , adaptation (eye) , chaining , inference engine , risk analysis (engineering) , data mining , systems engineering , engineering , artificial intelligence , medicine , psychology , physics , remote sensing , management , optics , economics , psychotherapist , geology
RTXPS, the RealTime eXPert System, integrates a forward chaining expert system and a backward chaining system into a DSS framework using simulation models and GIS for environmental and technological risk assessment and management tasks. The system operates in real‐time, and uses time including estimates derived from the forecasting models, in its inference. The architecture features two linked ES strategies, which draw upon an object database of environmental and risk‐relevant objects, including data acquisition from GPS locators and sensors, and a GIS, as well as a set of dynamic simulation models implemented in a distributed client–server environment. Monte Carlo methods are used for the explicit treatment of uncertainty. Application examples describe chemical emergency management cases for fixed installations and transportation accidents, environmental impact assessment and risk analysis applications, and an adaptation for technical training for emergency management.