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_aFuzzy Logic and Technology, and Aggregation Operators _h[electronic resource] : _b13th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2023, and 12th International Summer School on Aggregation Operators, AGOP 2023, Palma de Mallorca, Spain, September 4-8, 2023, Proceedings / _cedited by Sebastia Massanet, Susana Montes, Daniel Ruiz-Aguilera, Manuel González-Hidalgo. |
250 | _a1st ed. 2023. | ||
264 | 1 |
_aCham : _bSpringer Nature Switzerland : _bImprint: Springer, _c2023. |
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300 |
_aXXIII, 751 p. 148 illus., 79 illus. in color. _bonline resource. |
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_aLecture Notes in Computer Science, _x1611-3349 ; _v14069 |
|
505 | 0 | _aInterval uncertainty -- Information fusion techniques based on aggregation functions, preaggregation functions and their generalizations -- Evaluative linguistic expressions, generalized quantifiers and applications -- Neural networks under uncertainty and imperfect information -- Imprecision modeling and management in XAI systems -- Recent trends in mathematical fuzzy logics -- Fuzzy graph-based models: theory and application -- New frontiers of computational intelligence for pervasive healthcare systems -- Fuzzy implication functions -- New challenges and ideas in statistical inference and data analysis. | |
520 | _aThis book constitutes the proceedings of the 13th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2023, and 12th International Summer School on Aggregation Operators, AGOP 2023, jointly held in Palma de Mallorca, Spain, during September 4-8, 2023. The 71 full papers presented in this book were carefully reviewed and selected from 161 submissions. The papers are divided into special sessions on: Interval uncertainty; information fusion techniques based on aggregation functions, preaggregation functions and their generalizations; evaluative linguistic expressions, generalized quantifiers and applications; neural networks under uncertainty and imperfect information; imprecision modeling and management in XAI systems; recent trends in mathematical fuzzy logics; fuzzy graph-based models: theory and application; new frontiers of computational intelligence for pervasive healthcare systems; fuzzy implication functions; and new challenges and ideas in statistical inference and data analysis. | ||
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_aComputer science. _99832 |
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_aMassanet, Sebastia. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9124612 |
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700 | 1 |
_aMontes, Susana. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9124613 |
|
700 | 1 |
_aRuiz-Aguilera, Daniel. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9124614 |
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700 | 1 |
_aGonzález-Hidalgo, Manuel. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9124615 |
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