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Modelling and analysis of non‐random uncertainties—fuzzy‐set approach
Author(s) -
Juang C. Hsein,
Huang Xin H.,
Elton David J.
Publication year - 1992
Publication title -
international journal for numerical and analytical methods in geomechanics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.419
H-Index - 91
eISSN - 1096-9853
pISSN - 0363-9061
DOI - 10.1002/nag.1610160504
Subject(s) - monte carlo method , fuzzy logic , fuzzy set , uncertainty analysis , set (abstract data type) , computer science , data mining , mathematical optimization , mathematics , artificial intelligence , statistics , simulation , programming language
This paper addresses the issue of uncertainty treatment in geotechnical engineering. Emphasis is placed on modelling and analysis of non‐random uncertainties using fuzzy sets. Although uncertainties were modelled with fuzzy sets in this study, subsequent analysis or processing of the uncertain information was performed using traditional, non‐fuzzy techniques. These techniques, including the vertex method and Monte Carlo simulation, are discussed in detail. An example application using soil liquefaction susceptibility is presented. The paper concludes that non‐random uncertainties can be successfully modelled and processed using fuzzy sets.