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contributor authorAurélie Talon
contributor authorCorinne Curt
contributor authorDaniel Boissier
date accessioned2017-05-08T21:40:45Z
date available2017-05-08T21:40:45Z
date copyrightJanuary 2014
date issued2014
identifier other%28asce%29cp%2E1943-5487%2E0000262.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/59236
description abstractIn the current economic, sociological, and environmental context, the durable performance of civil engineering works is a keystone of risk management. The data available for assessing performance are often numerous, heterogeneous, and imperfect. To cope with these difficulties, a four-phase method is proposed, comprised of (1) performance assessment modeling, (2) the formalization of heterogeneous information from different sources, (3) the propagation of imperfections in performance assessment models, and (4) the expression of outputs of these models in suitable formats to facilitate decision making and improve communication. Two applications of this methodology have been developed for buildings and dams and are used as illustrations. This methodology is supported by various methods that must be selected as a function of the case studied. Systemic approaches, knowledge-based methods, evidence theory, and fuzzy logic were used in the applications.
publisherAmerican Society of Civil Engineers
titlePerformance Assessment Based on Evidence Theory and Fuzzy Logic: Application to Building and Dam Performance
typeJournal Paper
journal volume28
journal issue1
journal titleJournal of Computing in Civil Engineering
identifier doi10.1061/(ASCE)CP.1943-5487.0000255
treeJournal of Computing in Civil Engineering:;2014:;Volume ( 028 ):;issue: 001
contenttypeFulltext


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