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024 7 _a10.1007/978-3-031-39965-7
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245 1 0 _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.
300 _aXXIII, 751 p. 148 illus., 79 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
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490 1 _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.
650 0 _aComputer science.
650 1 4 _aComputer Science.
700 1 _aMassanet, Sebastia.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aMontes, Susana.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aRuiz-Aguilera, Daniel.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aGonzález-Hidalgo, Manuel.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031399640
776 0 8 _iPrinted edition:
_z9783031399664
830 0 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v14069
856 4 0 _uhttps://doi.org/10.1007/978-3-031-39965-7
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