Results 251 to 260 of about 320,000 (291)

Induced Ordered Weighted Averaging Operators

2011
Since the introduction of the ordered weighted averaging operator [18], the OWA has received great attention with applications in fields including decision making, recommender systems [8, 21], classification [10] and data mining [16] among others. The most important step in the calculation of the OWA is the permutation of the input vector according to ...
Gleb Beliakov, Simon James
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Canonical form of ordered weighted averaging operators

Annals of Operations Research, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
LeSheng Jin, Radko Mesiar, Martin Kalina, Ronald R. Yager   +3 more
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On a weighted ordered weighted averaging based similarity classifier

2016 IEEE 17th International Symposium on Computational Intelligence and Informatics (CINTI), 2016
The classification accuracy of a classifier depends largely on the aggregation operator it uses in fusion of information. This paper presents a similarity classifier that utilizes a weighted ordered weighted averaging (WOWA) operator. The applicability of the WOWA operator for aggregation of similarities is studied and tested with several Regular ...
Onesfole Kurama, Pasi Luukka, Mikael Collan   +2 more
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Bipolar Ordered Weighted Quasi-Averages and Induced Bipolar Ordered Weighted Averages: BIGOWA and IBIOWA operators

Iranian Journal of Fuzzy Systems
A generalization of bipolar OWA operators, bipolar ordered weighted quasi-averages, based on the bipolar Choquet g-integrals, so called g-BIOWA operators are introduced and investigated. A generalization of induced OWA operators considering non-negative inputs and order-inducing variables, induced bipolar ordered weighted averages are introduced ...
Kalina, Martin, Mihailović, Biljana, Scaron;trboja,, Mirjana   +2 more
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Minimization of uncertainty for ordered weighted average

International Journal of Intelligent Systems, 2010
Summary: Existing ordered weighted average (OWA) characterization methods maximize similarity among information sources by seeking maximal weights entropy or by minimizing weights variance. These methods are based solely on the weights, and the uncertainties of input information sources are ignored.
Vergara, Victor M., Xia, Shan
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Generalized Linguistic Ordered Weighted Logarithm Averaging Operators

2012 International Conference on Computer Science and Service System, 2012
Motivated by the optimal solution of a deviation model proposed in this paper, we develop the generalized linguistic weighted logarithm averaging (GLWLA) operator and the generalized linguistic ordered weighted logarithm averaging (GLOWLA) operator in the group decision making under the linguistic surrounding, which are obtained by constructing the ...
Huayou Chen, Ligang Zhou, Yingdong He, Su Guo   +3 more
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Ordered Weighted Averaging Operators: A Short Review

IEEE Systems, Man, and Cybernetics Magazine, 2021
Aggregation is the process of combining several numerical values into a single representative one, a procedure called an aggregation function . Despite the simplicity of this definition, the size of the field of its applications is incredibly huge. Making decisions (in also artificial intelligence) often leads to aggregating preferences or scores on ...
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Concerning ordered weighted averaging aggregation operators

Statistical Papers, 1991
In a recent paper Yager (1988) introduced a special type of aggregation operators which he called OWA-operators and applied it to multicriteria decisionmaking. In our paper we give a more general definition of such operators and investigate in some detail the structural properties of them.
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Ordered Weighted Averaging Aggregation on Convex Poset

IEEE Transactions on Fuzzy Systems, 2019
Ordered weighted averaging (OWA) operators, a family of aggregation functions, are widely used in human decision-making schemes to aggregate data inputs of a decision maker's choosing through a process known as OWA aggregation. The weight allocation mechanism of OWA aggregation employs the principle of linear ordering to order data inputs after the ...
LeSheng Jin, Radko Mesiar, Ronald Yager
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Compatible weighting method with rank order centroid: Maximum entropy ordered weighted averaging approach

European Journal of Operational Research, 2011
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