Fuzzy dissimilarity-based classification for disaster initial assessment
A correct initial assessment of disaster consequences is crucial for an adequate decision-making in disaster and emergency management. However, such an initial assessment needs to be correct, but not necessarily fully precise, and thus it can be associated with a fuzzy classification problem in whic...
| Authors: | ; ; |
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| Format: | Book chapter |
| Publication date: | 2013 |
| Country: | España |
| Institution: | Universidad Complutense de Madrid (UCM) |
| Repository: | Docta Complutense |
| Language: | English |
| OAI Identifier: | oai:docta.ucm.es:20.500.14352/35668 |
| Online Access: | https://hdl.handle.net/20.500.14352/35668 |
| Access Level: | Open access |
| Keyword: | 519.8 Fuzzy rule based classification systems Disaster management Dissimilarity Investigación operativa (Matemáticas) 1207 Investigación Operativa |
| Summary: | A correct initial assessment of disaster consequences is crucial for an adequate decision-making in disaster and emergency management. However, such an initial assessment needs to be correct, but not necessarily fully precise, and thus it can be associated with a fuzzy classification problem in which the set of classes presents a relevant structure. This paper proposes the consideration of a dissimilarity operator in order to introduce such a structure in the classifier's learning and reasoning procedures, leading to an improvement in the classifiers adaptation to the disaster management context features and decision making requirements. |
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