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Fuzzy Optimization and Decision Making, 2002
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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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Computer and Decision Making: An International Journal
The Self-Propelled Artillery System selection problem, which is a sub-problem of the Weapon Systems Selection Problems (WSSP), is an extremely important strategic level decision problem and constitutes the main focus of this study.
Hakan Ayhan Dağıstanlı
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The Self-Propelled Artillery System selection problem, which is a sub-problem of the Weapon Systems Selection Problems (WSSP), is an extremely important strategic level decision problem and constitutes the main focus of this study.
Hakan Ayhan Dağıstanlı
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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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Melting Probability Measure With OWA Operator to Generate Fuzzy Measure: The Crescent Method
IEEE transactions on fuzzy systems, 2019Given probability information, i.e., a probability measure m with a random variable x on the outcome space N, the expected value of that random variable is commonly used as some valuable evaluation result for further decision making. However, there is no
Lesheng Jin, R. Mesiar, R. Yager
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AN INTUITIONISTIC OWA OPERATOR
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2004The OWA (Ordered Weighted Average) operator is a powerful non-linear operator for aggregating a set of inputs ai,i∈{1,2,…,M}. In the original OWA operator the inputs are crisp variables ai. This restriction was subsequently removed by Mitchell and Schaefer who by application of the extension principle defined a fuzzy OWA operator which aggregates a ...
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MP-OWA: The most preferred OWA operator
Knowledge-Based Systems, 2008In practical term any result obtained using an ordered weighted averaging (OWA) operator heavily depends upon the method to determine the weighting vector. Several approaches for obtaining the associated weights have been suggested in the literature, in which none of them took into account the preference of alternatives.
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International Journal of Intelligent Systems, 1999
Summary: The Ordered Weighting Averaging (OWA) Operator of Yager was introduced to provide a method for nonlinearly aggregating a set of input arguments \(a_i\). A fundamental aspect of the OWA operator is a reordering step in which the input arguments are rearranged according to their values. Recently, a generalized OWA operator was described in which
Schaefer, P. A., Mitchell, H. B.
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Summary: The Ordered Weighting Averaging (OWA) Operator of Yager was introduced to provide a method for nonlinearly aggregating a set of input arguments \(a_i\). A fundamental aspect of the OWA operator is a reordering step in which the input arguments are rearranged according to their values. Recently, a generalized OWA operator was described in which
Schaefer, P. A., Mitchell, H. B.
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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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Generalizations of OWA Operators
IEEE Transactions on Fuzzy Systems, 2015OWA operators can be seen as symmetrized weighted arithmetic means, as Choquet integrals with respect to symmetric measures, or as comonotone additive functionals. Following these three different looks on OWAs, we discuss several already known generalizations of OWA operators, including GOWA, IOWA, OMA operators, as well as we propose new types of such
Radko Mesiar +2 more
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