Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14069)
Included in the following conference series:
- AGOP: International Summer School on Aggregation Operators
- EUSFLAT: Conference of the European Society for Fuzzy Logic and Technology
Conference proceedings info: AGOP 2023, EUSFLAT 2023.
Access this book
Tax calculation will be finalised at checkout
Other ways to access
About this book
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.
Keywords
Table of contents (61 papers)
-
EUSFLAT General Track
Other volumes
-
Fuzzy Logic and Technology, and Aggregation Operators
Editors and Affiliations
Bibliographic Information
Book Title: Fuzzy Logic and Technology, and Aggregation Operators
Book Subtitle: 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
Editors: Sebastia Massanet, Susana Montes, Daniel Ruiz-Aguilera, Manuel González-Hidalgo
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-031-39965-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Softcover ISBN: 978-3-031-39964-0Published: 21 August 2023
eBook ISBN: 978-3-031-39965-7Published: 20 August 2023
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXIII, 751
Number of Illustrations: 69 b/w illustrations, 79 illustrations in colour
Topics: Computer Science, general