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Computing with Words in Risk Assessment

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2010 United Kingdom, Australia English Publisher:Springer Science and Business Media LLCJournal:International Journal of Computational Intelligence Systems, volume 3, page 396 (eissn: 1875-6883, Copyright policy )
Authors: Jun Liu 0001; Luis Martínez-López 0001; Hui Wang 0001; Rosa M. Rodríguez 0001; Vasily Novozhilov;

doi: 10.2991/ijcis.2010.3.4.2 , 10.1080/18756891.2010.9727710

Computing with Words in Risk Assessment

Abstract

This paper presents a comprehensive overview of currently known applications of computing with words (CWW) in risk assessment. It is largely grouped into the following 5 categories: (1) fuzzy number based risk assessment; (2) fuzzy rule-based risk assessment; (3) fuzzy extension of typical probabilistic risk assessment; (4) ordinal linguistic approach for risk assessment; and (5) miscellaneous applications. In addition, the role of CWW within the broad area of risk assessment is briefly characterized.

Countries
United Kingdom, Australia
Related Organizations
Keywords

Fuzzy logic, linguistic information, Electronic computers. Computer science, 0801 Artificial Intelligence and Image Processing, ordinal linguistic approach, risk assessment, computing with words, fuzzy logic, QA75.5-76.95, Centre for Environmental Safety and Risk Engineering (CESARE), risk management

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    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 44
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
44
Top 10%
Top 10%
Top 10%
gold