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
doaj +2 more sources
New view of fuzzy aggregations. Part III: extensions of the FPOWA operator in the problem of political management [PDF]
Journal of Fuzzy Extension and Applications, 2021 The Ordered Weighted Averaging (OWA) operator was introduced by Yager [34] to provide a method for aggregating inputs that lie between the max and min operators.
Gia Sirbiladze
doaj +1 more source
An interval-valued atanassov’s intuitionistic fuzzy multi-attribute group decision making method based on the best representation of the WA and OWA operators [PDF]
Journal of Fuzzy Extension and Applications, 2021 In this paper we extend the notion of interval representation for interval-valued Atanassov’s intuitionistic representations, in short Lx-representations, and use this notion to obtain the best possible one, of the Weighted Average (WA) and Ordered ...
Ivanosca da Silva +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
doaj +1 more source
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
doaj +1 more source
A Partial Order OWA Operator for Solving the OWA Weighing Dilemma
IEEE Access, 2023 Prior weights are necessary for the application of ordered weighted averaging (OWA) operators, but obtaining them is expensive and contentious, which restricts the application of operators.
Mingyu Li, Ruize Xu, Qinghua Chen
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Rough-Fuzzy Support Vector Clustering with OWA Operators
Inteligencia Artificial, 2022 Rough-Fuzzy Support Vector Clustering (RFSVC) is a novel soft computing derivative of the classical Support Vector Clustering (SVC) algorithm, which has been used already in many real-world applications.
Ramiro Saltos Atiencia, Richard Weber
doaj +1 more source
Least Squares in a Data Fusion Scenario via Aggregation Operators
Axioms, 2022 In this paper, appropriate least-squares methods were developed to operate in data fusion scenarios. These methods generate optimal estimates by combining measurements from a finite collection of samples.
Gildson Queiroz de Jesus +1 more
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Revista de Métodos Cuantitativos para la Economía y la Empresa, 2020 El proceso de toma de decisiones tiene una incidencia relevante en los resultados de las empresas, lo que ha llevado a desarrollar novedosos métodos que permitan evaluar bajo condiciones no controlables elementos subjetivos y racionales.
Blanco-Mesa, Fabio +2 more
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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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