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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/52590

Title: Resilience Analysis of Critical Infrastructures: A Cognitive Approach Based on Granular Computing
Authors: Hamido Fujita
Angelo Gaeta
Vincenzo Loia
Francesco Orciuoli
Contributors: 國立臺灣海洋大學:資訊工程學系
Keywords: Resilience
Analytical models
Critical infrastructure
Date: 2018
Issue Date: 2019-11-22T01:57:52Z
Publisher: IEEE Transactions on Cybernetics
Abstract: Abstract: A great impetus for the study of resilience in critical infrastructures (C's) is found in the large number of initiatives and international research programmes from U.S., EU, and Asia. Politicians, decision makers, and citizens are now aware of the drastic consequences that can have the cascading effects of an adverse event in these large scale infrastructures. However, the study of resilience in C's is challenging for several reasons, among which their large scale and interdependencies. We have to consider also that adverse events, e.g., attacks, natural hazards, or man-made disasters, suddenly occur and evolve rapidly, giving us little time to take decisions and react to them. Approximate reasoning and rapid decision making have to be considered requirements for resilience analysis of C's. The main result presented in this paper relates to a systemic integration of granular computing (GrC) and resilience analysis for C's. Each phase of our approach presents distinctive aspects but, overall, we argue the merit of this paper consists in the originality of the study, being this the first work that combines GrC and resilience analysis of C's. This paper reports an illustrative example that shows how to apply our results, and a discussion on the necessary contextualizations and extensions of the GrC results to be better adapted for C's resilience.
Relation: 49(5) pp.1835-1848
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/52590
Appears in Collections:[資訊工程學系] 期刊論文

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