Study on Intelligence Aided Decision-making System for Railway Accident Succor
Linze Wang, Shaoming Chen · Zhongguo anquan kexue xuebao · 2004
An artificial intelligence aided decision-making system for railway accident su ccor is presented, which combines the rule of production-system with the databa se technique as the knowledge expression mode of decision-making for railway ac cident succor. The reasoning process is on forward direction. The decision-maki ng tree is categorized in layers and embedded into the database. The system coul d provide one or several accident succor protocols in on-site accident interact ively. It presents a new route and model for decision-making of the railway acc ident succor, and a good trial in application of the artificial intelligence int o new engineering field.