Massetschussets Institute of Technology Press, Cambridge (2003)
Halpern, J.Y.: Reasoning about Uncertainty. 240 on crisis management and on the modification of certain codes (crisis code) (2000) In latter wording 239 on integrated rescue system and on the modification of certain codes (2000) In latter wordingįire Rescue Service of the Czech Republic: Law no. 238 on fire rescue service of cr and on the modification of certain codes (2000) In latter wordingįire Rescue Service of the Czech Republic: Law no. 133 on fire protection (1985) In latter wordingįire Rescue Service of the Czech Republic: Law no. Massetschussets Institute of Technology Press, Cambridge (1996)įire, Authority, E.S.: Annual report-state emergency services (2003), įire Rescue Service of the Czech Republic: Law no. Physica Verlag, New York (2002)įagin, D., et al.: Reasoning about Knowledge. Critical Care Medicine 17, 1062–1067 (1989)Ĭarlsson, C., Fuller, R.: Fuzzy Reasoning in Decision Making and Optimization. Keywordsīarrier, G.: Emergency medical services for treatment of mass casualties. Finally we discussed the possibility of using Soft CBR, it means using theories of fuzzy logic and rough sets for a description of vagueness and uncertainty during the description of knowledge in the fire rescue service.We will consider an implementation of CBR algorithm on digital signal processors. We analyzed some metrices into a comparison of cases, and we realized CBR algorithm as a graphic user interface. We modified the guidelines of cases on the basis of commander’s know how, and on expert recommendations. In the third part, the possibility of applying CBR algorithm to new real cases is analysed. Generally this real decision is executed under pressured time, contains a lot of information, and it is unique for each situation it is very important to compare the decision of new cases with the base decisions of previous cases. It exploits characterization of a set of cases.
#Cbr data rescue manual
The manual contains a set of methodical sheets every sheet is described by a set of attributes. The second part is aimed at the system approach definition of the formation of ‘cases’ of decision making, by the fire protection unit commander in charge during the handling of emergency situations, on the basis of guidelines in the fire protection unit field manual. In the first part of this paper, information about CBR algorithm, and a decision process in the tactical level of fire rescue service, are briefly introduced. The algorithm has been realized in MATLAB, and their outputs represent effective recommendations for a commander of a fire protection unit. The model is based on the case-based reasoning (CBR) algorithm, and it focuses on the fire rescue service. In this paper a modelling of a system, in the conventional structure, of the emergency service is presented.
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