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Automatically generating natural language descriptions of images by a deep hierarchical framework
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Type-1 OWA operators in aggregating multiple sources of uncertain information : properties and real world applications
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Type-1 OWA methodology to consensus reaching processes in multi-granular linguistic contexts
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Type-1 OWA methodology to consensus reaching processes in multi-granular linguistic contexts
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6 |
Inducing linguistic weights for type-1 OWA operators in soft decision making.
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7 |
Extracting Takagi-Sugeno fuzzy rules with interpretable submodels via regularization of linguistic modifiers
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8 |
Type-1 OWA operators for aggregating uncertain information with uncertain weights induced by Type-2 linguistic quantifiers.
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9 |
Low-level interpretability and high-level interpretability: a unified view of data-driven interpretable fuzzy system modelling
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Improving the interpretability of Takagi-Sugeno fuzzy model by using linguistic modifiers and a multiple objective learning scheme
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11 |
New fuzzy data clustering based on information entropy measure and relaxation linguistic modifier
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