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Breast Cancer Metastases Presenting as Musculoskeletal Complaints. [PDF]
CureusChu EC, Ng L.
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Induced ordered weighted averaging operators
IEEE Transactions on Systems, Man, and Cybernetics, 1999We briefly describe the Ordered Weighted Averaging (OWA) operator and discuss a methodology for learning the associated weighting vector from observational data. We then introduce a more general type of OWA operator called the Induced Ordered Weighted Averaging (IOWA) Operator.
D P Filev, R R Yager
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Ordered Weighted Averaging Aggregation on Convex Poset
IEEE Transactions on Fuzzy Systems, 2019Ordered 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 ...
Radko Mesiar +2 more
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Ordered Weighted Averaging in Social Networks
, 2012 We study a stochastic model of influence where agents have yes-no inclinations on some issue, and opinions may change due to mutual influence among the agents. Each agent independently aggregates the opinions of the other agents and possibly herself. We study influence processes modelled by ordered weighted averaging operators.
Manuel Förster +2 more
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Ordered fuzzy weighted averages and ordered linguistic weighted averages
International Conference on Fuzzy Systems, 2010The ordered weighted average (OWA) operator has been widely used in decision-making. In many situations, however, providing crisp numbers for either the sub-criteria or the weights is problematic (there could be uncertainties about them), and it is more meaningful to provide intervals, type-1 fuzzy sets (T1 FSs), interval type-2 fuzzy sets (IT2 FSs ...
Dongrui Wu, Jerry M. Mendel
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Bipolar ordered weighted averages: BIOWA operators
Fuzzy Sets and Systems, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Radko Mesiar +2 more
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Minimization of uncertainty for ordered weighted average
International Journal of Intelligent Systems, 2010Summary: 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.
Victor M. Vergara, Shan Xia
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The ordered weighted geometric averaging operators
International Journal of Intelligent Systems, 2002Summary: The Ordered Weighted Averaging (OWA) operator was introduced by Yager. The fundamental aspect of the OWA operator is a reordering step in which the input arguments are rearranged in descending order. In this article, we propose two new classes of aggregation operators called Ordered Weighted Geometric Averaging (OWGA) operators and study some ...
Zeshui Xu, Qingli Da
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2015
The focus of this chapter is on OWA functions. The formal definitions and the main properties of OWA are presented. Some extensions of the OWA functions are discussed in detail. Various methods of fitting OWA functions to empirical data are presented.
Gleb Beliakov +2 more
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The focus of this chapter is on OWA functions. The formal definitions and the main properties of OWA are presented. Some extensions of the OWA functions are discussed in detail. Various methods of fitting OWA functions to empirical data are presented.
Gleb Beliakov +2 more
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Least-squared ordered weighted averaging operator weights
International Journal of Intelligent Systems, 2007The ordered weighted averaging (OWA) operator by Yager (IEEE Trans Syst Man Cybern 1988; 18; 183–190) has received much more attention since its appearance. One key point in the OWA operator is to determine its associated weights. Among numerous methods that have appeared in the literature, we notice the maximum entropy OWA (MEOWA) weights that are ...
Byeong Seok Ahn, Haechurl Park
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