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Sensitivity Analysis of the OWA Operator
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2008The successful design and application of the ordered weighted averaging (OWA) method as a decision-making tool depend on the efficient computation of its order weights. The most popular methods for determining the order weights are the fuzzy linguistic quantifiers approach and the minimal variability method, which give different behavior patterns for ...
Mahdi Zarghami +2 more
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RECURSIVE AND ITERATIVE OWA OPERATORS
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2005An important issue when using the OWA aggregation operators is the determination of weights. One approach is to link the weights to a desired attitudinal character for the aggregation. The ME-OWA operators provide a pioneering example of this approach.
Luigi Troiano, Ronald R. Yager
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Soft Computing - A Fusion of Foundations, Methodologies and Applications, 1999
The basic properties of the Ordered Weighted Averaging (OWA) operator are recalled. The role of these operators in the formulation of multi-criteria decision functions, using the concept of quantifier guided aggregation, is discussed. An extended class of OWA operators, one based upon a relaxation of the requirements on the OWA operators, is introduced.
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The basic properties of the Ordered Weighted Averaging (OWA) operator are recalled. The role of these operators in the formulation of multi-criteria decision functions, using the concept of quantifier guided aggregation, is discussed. An extended class of OWA operators, one based upon a relaxation of the requirements on the OWA operators, is introduced.
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The equivalence of maximum entropy OWA operator and geometric OWA operator
Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693), 2004In this paper, some properties of geometric OWA operator are investigated. The equivalence of the geometric OWA operator and the Maximum Entropy OWA operator is proved.
null Xin-Wang Liu, null Liang-Hua Chen
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Soft Computing, 2006
We introduce the idea of centered OWA operators. We define these as OWA operators that give preference to argument values that lie in the middle between the largest and the smallest. An important class of these using Gaussian type weights is investigated in considerable detail. We describe a number of different examples of centered OWA operators.
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We introduce the idea of centered OWA operators. We define these as OWA operators that give preference to argument values that lie in the middle between the largest and the smallest. An important class of these using Gaussian type weights is investigated in considerable detail. We describe a number of different examples of centered OWA operators.
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On continuous generalized OWA operators
2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2011Recently, Zhou and Chen [Continuous generalized OWA operator and its application to decision making, Fuzzy Sets and Systems 168 (2011) 18–34.] introduced a class of operators called the continuous generalized ordered weighted averaging (C-GOWA) operators.
Yao Ouyang, Zhenjiang Zhao
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An OWA operator with fuzzy ranks
International Journal of Intelligent Systems, 1998Summary: The ordered weighted averaging (OWA) operator of Yager was introduced to provide a method for aggregating several inputs which lies between the max and min operators. The fundamental aspect of the OWA operator is a reordering step in which the input arguments are rearranged according to their integer ranks. In this paper, we generalize the OWA
H. B. Mitchell, D. D. Estrakh
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Generalized OWA Aggregation Operators
Fuzzy Optimization and Decision Making, 2004zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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OWA Operators on Complete Lattices
IEEE Transactions on Fuzzy Systems, 2018Considering some aggregation functions, we define ${\bf B}$ - $ A$ -weighting vectors. Then, a definition for ordered weighted average (OWA) operators is given based on ${\bf B}$ - $ A$ -weighting vectors. Moreover, we show that our proposed definition for OWA operators over complete lattices is a generalization of the given definition by ...
Radko Mesiar +3 more
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Norm Aggregations and OWA Operators
2013The ordered weighted average (OWA) is an aggregation operator that provides a parameterized family of aggregation operators between the minimum and the maximum. This paper studies the use of the OWA operator with norms. Several extensions and generalizations are suggested including the use of the induced OWA operator and the OWA weighted average.
José M. Merigó, Ronald R. Yager
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