Developing environmental indices using fuzzy numbers ordered weighted averaging (FN-OWA) operators

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DOIResolve DOI: http://doi.org/10.1007/s00477-007-0151-0
AuthorSearch for: ; Search for:
TypeArticle
Journal titleStochastic Environmental Research & Risk Assessment
Volume22
IssueJanuary 1
Pages495505; # of pages: 11
Subjectenvironmental indices, fuzzy number, ordered weight averaging (FN-OWA), similarity measures, fuzzy arithmetic
AbstractEnvironmental indices (EI) are commonly used to describe the status of environmental systems (e.g. air, water, soil) but the indices are subject to exaggeration or eclipsing. This paper examines the use of an ordered weight averaging operator that provides flexibility through orness, a concept that is a surrogate for a decision maker's attitude. The proposed approach is demonstrated using data from an earlier study that established water quality indices. Multiple hypothetical scenarios are also generated to demonstrate the utility and the sensitivity of the approach.
Publication date
LanguageEnglish
AffiliationNRC Institute for Research in Construction; National Research Council Canada
Peer reviewedYes
NRC number50447
19610
NPARC number20378085
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Record identifierc61522a0-966e-432a-9d78-3c4ed96aa4ca
Record created2012-07-24
Record modified2016-05-09
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