Research on Reasoning Model of Firefighting and Rescue Cases

Autor:	Jian Gao, Lihong Lu, Danjun Lian, Qingchun Kang, Libiao Pan, Yu Li
Rok vydání:	2014
Předmět:	Hybrid reasoning Matching (statistics) Utilization ratio Countermeasure Operations research Computer science Process (engineering) Firefighting Simulation
Zdroj:	Web-Age Information Management ISBN: 9783319115375 WAIM Workshops
DOI:	10.1007/978-3-319-11538-2_6
Popis:	Based on creating the digital scenario matrix of firefighting cases, this paper proposes four matrix-based drive reasoning models including “type - process” drive, “type - problem” drive, “type - countermeasure” drive and “type - lesson” drive, as well as hybrid reasoning model based on multi-base coordination, which will improve the rate and efficiency of matching cases, promote the utilization ratio of cases and accuracy of decision making, so as to lay a solid foundation for scientific decision-making on the firefighting and rescue scene.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::b2e64a309dbe3bfe6d7dca96dcf4e356 https://doi.org/10.1007/978-3-319-11538-2_6 Zobrazit plný text záznamu