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Multiple priorities in an induced ordered weighted averaging operator
International Journal of Intelligent Systems, 2000Summary: The Ordered Weighted Averaging (OWA) operator of Yager was introduced to provide a method for nonlinearly aggregating a set of input arguments \(a_i\). A fundamental aspect of the OWA operator is a reordering step in which the input arguments are rearranged according to their values.
Mitchell, H. B., Schaefer, P. A.
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A similarity classifier with generalized ordered weighted averaging operator
2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS), 2017In this paper, we present a similarity classifier that uses a generalized ordered weighted averaging (GOWA) operator in aggregation. This paper extends earlier research into the ordered weighted averaging (OWA) operator based similarity classifier. Weight-generation for the GOWA operator has been done by using selected regular increasing monotone (RIM)
Onesfole Kurama +2 more
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Developing Group Ordered Weighted Averaging Operator Weights for Group Decision Support
Group Decision and Negotiation, 2013A few single decision-making methods under uncertainty (SDMUU) are available in the literature. The reason for such scarcity seems to be mainly due to too insufficient information to induce a reasonable result for effective decision support. Moreover their final outcomes on the same SDMUU problem may be different depending on which method is applied. A
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Ordered weighted geometric averaging operators for basic uncertain information
Information ScienceszbMATH Open Web Interface contents unavailable due to conflicting licenses.
LeSheng Jin +6 more
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Data Mining Using a Probabilistic Weighted Ordered Weighted Average (PWOWA) Operator
2003The Weighted Ordered Weighted Average (WOWA) operator is a powerful operator used for aggregating a set of M input arguments which may derive from different sources. The WOWA operator allows the user to take into account both the importance or reliability of the different information sources and the relative position of the argument valnes.
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U-FNO—An enhanced Fourier neural operator-based deep-learning model for multiphase flow
Advances in Water Resources, 2022Gege Wen +2 more
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Deep transfer operator learning for partial differential equations under conditional shift
Nature Machine Intelligence, 2022Somdatta Goswami +2 more
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