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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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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Time Series Data Fusion Based on Evidence Theory and OWA Operator [PDF]
Sensors, 2019 Time series data fusion is important in real applications such as target recognition based on sensors’ information. The existing credibility decay model (CDM) is not efficient in the situation when the time interval between data from sensors is too
Gang Liu, Fuyuan Xiao
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Orness For Idempotent Aggregation Functions [PDF]
Axioms, 2017 Aggregation functions are mathematical operators that merge given data in order to obtain a global value that preserves the information given by the data as much as possible.
Leire Legarreta +2 more
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Evidence conflict measure based on OWA operator in open world. [PDF]
PLoS ONE, 2017 Dempster-Shafer evidence theory has been extensively used in many information fusion systems since it was proposed by Dempster and extended by Shafer.
Wen Jiang +4 more
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The induced generalized OWA operator [PDF]
Information Sciences, 2009 We present the induced generalized ordered weighted averaging (IGOWA) operator. It is a new aggregation operator that generalizes the OWA operator by using the main characteristics of two well known aggregation operators: the generalized OWA and the induced OWA operator.
Merigo Lindahl, Jose +2 more
openaire +6 more sources
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 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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Variances and Logarithmic Aggregation Operators: Extended Tools for Decision-Making Processes
Mathematics, 2021 Variance, as a measurement of dispersion, is a basic component of decision-making processes. Recent advances in intelligent systems have included the concept of variance in information fusion techniques for decision-making under uncertainty.
Rodrigo Gómez Monge +4 more
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