Atjaunināt sīkdatņu piekrišanu

Information Processing and Management of Uncertainty in Knowledge-Based Systems: 19th International Conference, IPMU 2022, Milan, Italy, July 1115, 2022, Proceedings, Part I 1st ed. 2022 [Mīkstie vāki]

Edited by , Edited by , Edited by , Edited by , Edited by , Edited by , Edited by
  • Formāts: Paperback / softback, 816 pages, height x width: 235x155 mm, weight: 1270 g, 61 Illustrations, color; 99 Illustrations, black and white; XXVI, 816 p. 160 illus., 61 illus. in color., 1 Paperback / softback
  • Sērija : Communications in Computer and Information Science 1601
  • Izdošanas datums: 26-Jun-2022
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031089707
  • ISBN-13: 9783031089701
  • Mīkstie vāki
  • Cena: 91,53 €*
  • * ši ir gala cena, t.i., netiek piemērotas nekādas papildus atlaides
  • Standarta cena: 107,69 €
  • Ietaupiet 15%
  • Grāmatu piegādes laiks ir 3-4 nedēļas, ja grāmata ir uz vietas izdevniecības noliktavā. Ja izdevējam nepieciešams publicēt jaunu tirāžu, grāmatas piegāde var aizkavēties.
  • Daudzums:
  • Ielikt grozā
  • Piegādes laiks - 4-6 nedēļas
  • Pievienot vēlmju sarakstam
  • Formāts: Paperback / softback, 816 pages, height x width: 235x155 mm, weight: 1270 g, 61 Illustrations, color; 99 Illustrations, black and white; XXVI, 816 p. 160 illus., 61 illus. in color., 1 Paperback / softback
  • Sērija : Communications in Computer and Information Science 1601
  • Izdošanas datums: 26-Jun-2022
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031089707
  • ISBN-13: 9783031089701
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.

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.