Ordered Weighted Averaging (OWA), Decision Making under Uncertainty, and Deep Learning: How Is This All Related? [PDF]
Information, 2022 Among many research areas to which Ron Yager contributed are decision making under uncertainty (in particular, under interval and fuzzy uncertainty) and aggregation—where he proposed, analyzed, and utilized ordered weighted averaging (OWA).
Vladik Kreinovich
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A goal-based weighting for composite indicators constructed through Ordered Weighted Averaging (OWA) operator [PDF]
MethodsXThe Ordered Weighted Averaging (OWA) operator is a multicriteria method that has conquered space among researchers in the composite indicators field. Typically, OWA operator weights are defined by the decision maker.
Matheus Pereira Libório +3 more
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Application of smooth OWA operators to classification of retinitis pigmentosa [PDF]
Scientific ReportsRetinitis Pigmentosa (RP) is a rare genetic retinal disorder characterized by the progressive degeneration of rod and cone photoreceptors, leading to vision impairment and eventual blindness.
Alicja Rachwał +7 more
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A fuzzy parametric model for decision making involving F-OWA operator with unknown weights environment [PDF]
Heliyon, 2023 Weight determining of attributes is an important factor in decision support systems since it corresponds to the relative importance of each criteria which is necessary to be determined since all the attributes aren't equally important.
Muhammad Touqeer +5 more
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The adaptive functional piecewise ordered weighted averaging method and its application to pollutant concentration analysis. [PDF]
PLoS ONEThe evolving patterns of pollutant concentrations and their rigorous assessment are critical issues in contemporary environmental research and policy-making, with important practical implications for air quality management and regional pollution control.
Yang Li, Xiaoxue Hu, Maozai Tian
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Mathematics, 2022 Distance measures in ordered weighted averaging (OWA) operators allow the modelling of complex decision making problems where a set of ideal values or characteristics are required to be met.
Victor G. Alfaro-Garcia +3 more
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New view of fuzzy aggregations. part I: general information structure for decision-making models [PDF]
Journal of Fuzzy Extension and Applications, 2021 The Ordered Weighted Averaging (OWA) operator was introduced by Yager [57] to provide a method for aggregating inputs that lie between the max and min operators.
Gia Sirbiladze
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A Study of OWA Operators Learned in Convolutional Neural Networks
Applied Sciences, 2021 Ordered Weighted Averaging (OWA) operators have been integrated in Convolutional Neural Networks (CNNs) for image classification through the OWA layer. This layer lets the CNN integrate global information about the image in the early stages, where most ...
Iris Dominguez-Catena +2 more
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A New Minkowski Distance Based on Induced Aggregation Operators [PDF]
International Journal of Computational Intelligence Systems, 2011 The Minkowski distance is a distance measure that generalizes a wide range of distances such as the Hamming and the Euclidean distance. In this paper, we develop a generalization of the Minkowski distance by using the induced ordered weighted averaging ...
José Merigo, Montserrat Casanovas
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Decision Support under Risk by Optimization of Scenario Importance Weighted OWA Aggregations
Journal of Telecommunications and Information Technology, 2023 The problem of evaluation outcomes under several scenarios to form overall objective functions is of considerable importance in decision support under uncertainty. The fuzzy operator defined as the so-called weighted OWA (WOWA) aggregation offers a well-
Włodzimierz Ogryczak +1 more
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