Ciucci / Couso / Medina | Information Processing and Management of Uncertainty in Knowledge-Based Systems | E-Book | sack.de
E-Book

E-Book, Englisch, 816 Seiten

Reihe: Communications in Computer and Information Science

Ciucci / Couso / Medina Information Processing and Management of Uncertainty in Knowledge-Based Systems

19th International Conference, IPMU 2022, Milan, Italy, July 11–15, 2022, Proceedings, Part I
1. Auflage 2022
ISBN: 978-3-031-08971-8
Verlag: Springer International Publishing
Format: PDF
 Kopierschutz: 1 - PDF Watermark

19th International Conference, IPMU 2022, Milan, Italy, July 11–15, 2022, Proceedings, Part I

E-Book, Englisch, 816 Seiten

Reihe: Communications in Computer and Information Science

ISBN: 978-3-031-08971-8
Verlag: Springer International Publishing
Format: PDF
 Kopierschutz: 1 - PDF Watermark

This two-volume set (CCIS 1601-1602) constitutes the proceedings of the 19th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2021, held in Milan, Italy, in July 2022. 

The 124 papers were carefully reviewed and selected from 188 submissions. The papers are organized in topical sections as follows: aggregation theory beyond the unit interval; formal concept analysis and uncertainty; fuzzy implication functions; fuzzy mathematical analysis and its applications; generalized sets and operators; information fusion techniques based on aggregation functions, pre-aggregation functions, and their generalizations; interval uncertainty; knowledge acquisition, representation and reasoning; logical structures of opposition and logical syllogisms; mathematical fuzzy logics; theoretical and applied aspects of imprecise probabilities; data science and machine learning; decision making modeling and applications; e-health; fuzzy methods in data mining and knowledge discovery; soft computing and artificia intelligence techniques in image processing; soft methods in statistics and data analysis; uncertainty, heterogeneity, reliability and explainability in AI; weak and cautious supervised learning.

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Zielgruppe

Research

Autoren/Hrsg.

Ciucci, Davide
Couso, Inés
Medina, Jesús
Slezak, Dominik
Petturiti, Davide
Bouchon-Meunier, Bernadette
Yager, Ronald R.

Weitere Infos & Material

Aggregation Theory Beyond the Unit Interval.- Formal Concept Analysis and Uncertainty.- Fuzzy Implication Functions.- Fuzzy Mathematical Analysis and its Applications.- Generalized Sets and Operators.- Information Fusion Techniques based on Aggregation Functions, Pre-aggregation Functions, and their Generalizations.- Interval Uncertainty.- Knowledge Acquisition, Representation and Reasoning.- Logical Structures of Opposition and Logical Syllogisms.- Mathematical Fuzzy Logics.- Theoretical and Applied Aspects of Imprecise Probabilities.

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