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Probability density functions based weights for ordered weighted averaging (OWA) operators: an example of water quality indices

From National Research Council Canada

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DOIResolve DOI: https://doi.org/10.1016/j.ejor.2006.09.041
AuthorSearch for: 1; Search for: 1
Affiliation
  1. National Research Council of Canada. NRC Institute for Research in Construction
FormatText, Article
SubjectOWA operators; fuzzy; probabilistic density function; water quality index; degree of orness; dispersion; Water quality
Abstract
This paper explores the application of ordered weighted averaging (OWA) operators to develop water quality index, which incorporates an attitudinal dimension in the aggregation process. The major thrust behind selecting the OWA operator for aggregation of multi-criteria decision-making is its capability to encompass a range of operators bounded between minimum and maximum. A new approach for generating OWA weight distributions using probability density functions (PDFs) is proposed in this paper. The basic parameters (mean and standard deviation) of the probability density functions can be determined using the number of criteria (e.g. water quality indicators) in the aggregation process.
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  • European Journal of Operational Research 182, no. November 3 (1 November 2007): 1350–1368.
LanguageEnglish
Peer reviewedYes
NRC numberNRCC 48680
NRC-IRC-18164
NPARC number20378373
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Record identifier62a4761a-b73b-4e0d-a434-acf5f20eaa46
Record created2012-07-24
Record modified2020-05-10
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