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Information Processing and Management of Uncertainty in Knowledge-Based Systems [electronic resource] : 19th International Conference, IPMU 2022, Milan, Italy, July 11–15, 2022, Proceedings, Part I /

Contributor(s): Material type: TextTextSeries: Communications in Computer and Information Science ; 1601Publisher: Cham : Springer International Publishing : Imprint: Springer, 2022Edition: 1st ed. 2022Description: XXVI, 816 p. 160 illus., 61 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783031089718
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 006.3 23
LOC classification:
  • Q334-342
  • TA347.A78
Online resources:
Contents:
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.
In: Springer Nature eBookSummary: 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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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.

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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