Fuzzy Logic and Technology, and Aggregation Operators 13th 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 /
Fuzzy Logic and Technology, and Aggregation Operators 13th 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 / [electronic resource] :
edited by Sebastia Massanet, Susana Montes, Daniel Ruiz-Aguilera, Manuel González-Hidalgo.
- 1st ed. 2023.
- XXIII, 751 p. 148 illus., 79 illus. in color. online resource.
- Lecture Notes in Computer Science, 14069 1611-3349 ; .
- Lecture Notes in Computer Science, 14069 .
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 -- New challenges and ideas in statistical inference and data analysis.
This 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.
9783031399657
10.1007/978-3-031-39965-7 doi
Computer science.
Computer Science.
QA75.5-76.95
004
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 -- New challenges and ideas in statistical inference and data analysis.
This 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.
9783031399657
10.1007/978-3-031-39965-7 doi
Computer science.
Computer Science.
QA75.5-76.95
004