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Author Chao Huang; Shifei Shen; Quanyi Huang
Title An approach based on environment attributes for representation of disaster cases Type Conference Article
Year 2012 Publication ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2012
Volume Issue Pages
Keywords Civil defense; Fuzzy sets; Information systems; Risk management; Case representation; Case retrieval; Emergency management; Environmental contributes; Environmental factors; Large-scale disasters; New approaches; Similar case; Disasters
Abstract In this paper we overview the ongoing research into the application of case-based reasoning in emergency management, based on which we propose a new approach for representation of large-scale disaster cases. The approach takes the environmental factors into account, and the case is organized according to key scenes, rather than disaster types. Each scene consists of inherent attributes, which are concerned with the disaster type, and environment attributes, which usually facilitate the adjustment of the decision-making, and sometimes play crucial role. To describe the environment attributes, the fuzzy sets are employed to take use of the non-quantitative information. The nearness of the fuzzy sets is used to retrieve the similar case. Based on this approach, the case retrieval could even extract the case with different type but similar environment, supposing the inherent attribute is analogous. © 2012 ISCRAM.
Address Tsinghua University, China
Corporate Author Thesis
Publisher Simon Fraser University Place of Publication Vancouver, BC Editor L. Rothkrantz, J. Ristvej, Z.Franco
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN (up) 9780864913326 Medium
Track Poster Session Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 134
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