A knowledge-based framework for emergency DSS

被引：52

作者：

De Maio, C. ^{[1
,2
]}

Fenza, G. ^{[1
,2
]}

Gaeta, M. ^{[3
,4
]}

Loia, V. ^{[1
,2
]}

Orciuoli, F. ^{[3
,4
]}

机构：

[1] Univ Salerno, Dept Comp Sci, I-84084 Fisciano, SA, Italy

[2] Univ Salerno, CORISA Consorzio Ric Sistemi Agenti, I-84084 Fisciano, SA, Italy

[3] Univ Salerno, Dept Informat Engn & Appl Math, I-84084 Fisciano, SA, Italy

[4] Univ Salerno, CRMPA Ctr Ric Matemat Pura & Applicata, I-84084 Fisciano, SA, Italy

来源：

KNOWLEDGE-BASED SYSTEMS | 2011年 / 24卷 / 08期

关键词：

Emergency management; Fuzzy Cognitive Maps; Semantic Web; Semantic Web services; Decision Support System; FUZZY COGNITIVE MAP; DECISION-SUPPORT; INFORMATION;

D O I：

10.1016/j.knosys.2011.06.011

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Emergency management requires a shared vision on everything that happens nearby the emergency zone and on the availability of resources enabling to face emergency situations. Specifically, emergency managers need to be concretely supported, by knowledge-based systems, to make critical decisions. This work introduces a framework that exploits Semantic Web technologies to harmonize heterogeneous data and soft computing methods in order to handle uncertainties and to model causal inference embedded into an emergency plan. In particular, the paper presents an approach based on Fuzzy Cognitive Maps (FCMs) to support knowledge processing and resources discovery according to the emergency features. (C) 2011 Elsevier B.V. All rights reserved.

引用

页码：1372 / 1379

页数：8

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