Improved minimax disparity model for obtaining OWA operator weights: issue of multiple solutions

DOI10.1016/j.ins.2015.05.021zbMath1390.68671OpenAlexW212002884MaRDI QIDQ1749969

Yao Ouyang

Publication date: 17 May 2018

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2015.05.021

zbMATH Keywords

minimum varianceminimax disparityornessweights vector

Mathematics Subject Classification ID

Decision theory (91B06) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (2)

Some bipolar-preferences-involved aggregation methods for a sequence of OWA weight vectors ⋮ The properties of crescent preference vectors and their utility in decision making with risk and preferences

Cites Work

• Models to determine parameterized ordered weighted averaging operators using optimization criteria
• The solution equivalence of minimax disparity and minimum variance problems for OWA operators
• On obtaining minimal variability OWA operator weights.
• Improving minimax disparity model to determine the OWA operator weights
• Aggregating preference rankings using OWA operator weights
• On the properties of equidifferent OWA operator
• A minimax disparity approach for obtaining OWA operator weights
• A Data Envelopment Model for Aggregating Preference Rankings
• On ordered weighted averaging aggregation operators in multicriteria decisionmaking
• An overview of methods for determining OWA weights

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