A priori ordering protocols to support consensus-building in multiple stakeholder contexts
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Multi-person multi-attribute decision making models under intuitionistic fuzzy environment
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Preference relation approach for obtaining OWA operators weights
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Dependent uncertain ordered weighted aggregation operators
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Orness and parameterized RIM quantifier aggregation with OWA operators: A summary
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A fuzzy-stochastic OWA model for robust multi-criteria decision making
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Fuzzy quantifiers in sensitivity analysis of OWA operator
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A general model of parameterized OWA aggregation with given orness level
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On the equivalence of some approaches to the OWA operator and RIM quantifier determination
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The ordered weighted aggregation (OWA) operator has received more and more attention since its appearance. One key point in the OWA operator is to determine its associated weights. In this article, I first briefly review existing main methods for determining the weights associated with the OWA operator, and then, motivated by the idea of normal distribution, I develop a novel practical method for obtaining the OWA weights, which is distinctly different from the existing ones. The method can relieve the influence of unfair arguments on the decision results by weighting these arguments with small values. Some of its desirable properties have also been investigated. © 2005 Wiley Periodicals, Inc. Int J Int Syst 20: 843–865, 2005.