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Hits 1 – 11 of 11

1
Automatically generating natural language descriptions of images by a deep hierarchical framework
BASE
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2
Type-1 OWA operators in aggregating multiple sources of uncertain information : properties and real world applications
BASE
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3
Type-1 OWA methodology to consensus reaching processes in multi-granular linguistic contexts
Mata, F.; Perez, L. G.; Zhou, Shang-Ming. - : Elsevier, 2014
BASE
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4
Type-1 OWA methodology to consensus reaching processes in multi-granular linguistic contexts
BASE
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5
Classifying mental tasks based on features of higher-order statistics from EEG signals in brain–computer interface
In: Information sciences. - New York, NY : Elsevier Science Inc. 178 (2008) 6, 1629-1640
OLC Linguistik
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6
Inducing linguistic weights for type-1 OWA operators in soft decision making.
BASE
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7
Extracting Takagi-Sugeno fuzzy rules with interpretable submodels via regularization of linguistic modifiers
BASE
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8
Type-1 OWA operators for aggregating uncertain information with uncertain weights induced by Type-2 linguistic quantifiers.
BASE
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9
Low-level interpretability and high-level interpretability: a unified view of data-driven interpretable fuzzy system modelling
Zhou, Shang-Ming; Gan, John Q. - : Elsevier BV, 2008
BASE
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10
Improving the interpretability of Takagi-Sugeno fuzzy model by using linguistic modifiers and a multiple objective learning scheme
BASE
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11
New fuzzy data clustering based on information entropy measure and relaxation linguistic modifier
BASE
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