An enhanced ordered weighted averaging operators generation algorithm with applications for multicriteria decision making

DOI10.1016/J.APM.2019.02.042zbMath1481.91055OpenAlexW2921729277WikidataQ128262857 ScholiaQ128262857MaRDI QIDQ2310670

Yanyan Li

Publication date: 6 April 2020

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2019.02.042

zbMATH Keywords

probability density functiondecision analysisordered weighted averaging operatoradjustment matrixinterweaving method

Mathematics Subject Classification ID

Decision theory (91B06) Probability distributions: general theory (60E05)

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Cites Work

• Some properties and representation methods for ordered weighted averaging operators
• Probability density functions based weights for ordered weighted averaging (OWA) operators: an example of water quality indices
• Families of OWA operators
• On obtaining minimal variability OWA operator weights.
• A general model of parameterized OWA aggregation with given orness level
• A minimax disparity approach for obtaining OWA operator weights
• OWA operators with maximal Rényi entropy
• On ordered weighted averaging aggregation operators in multicriteria decisionmaking
• An overview of methods for determining OWA weights
• Least-squared ordered weighted averaging operator weights

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