Taylor, Stephen, Knight, Brian, Petridis, Miltos, Ewer, John ORCID: https://orcid.org/0000-0003-0609-272X and Galea, Edwin ORCID: https://orcid.org/0000-0002-0001-6665 (2001) A case based reasoning system capturing fire modelling expertise. Computing and Informatics, 20 (3). pp. 269-288. ISSN 1335-9150

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Abstract

This paper describes the architecture of the case based reasoning (CBR) component of Smartfire, a fire field modelling tool for use by members of the Fire Safety Engineering community who are not expert in modelling techniques. The CBR system captures the qualitative reasoning of an experienced modeller in the assessment of room geometries so as to set up the important initial parameters of the problem. The system relies on two important reasoning principles obtained from the expert: 1) there is a natural hierarchical retrieval mechanism which may be employed; and 2) much of the reasoning on a qualitative level is linear in nature, although the computational solution of the problem is non-linear. The paper describes the qualitative representation of geometric room information on which the system is based, and the principles on which the CBR system operates.

Item Type:	Article
Uncontrolled Keywords:	case based reasoning, fire modelling expertise
Subjects:	Q Science > QA Mathematics
Pre-2014 Departments:	School of Computing & Mathematical Sciences School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Fire Safety Engineering Group School of Computing & Mathematical Sciences > Computer & Computational Science Research Group School of Computing & Mathematical Sciences > Department of Computer Science School of Computing & Mathematical Sciences > Department of Mathematical Sciences
Related URLs:	Publisher
Last Modified:	18 Feb 2020 16:03
URI:	http://gala.gre.ac.uk/id/eprint/419

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