|
|
|
|
| LEADER |
05340nmm a2200457 u 4500 |
| 001 |
EB001898246 |
| 003 |
EBX01000000000000001061245 |
| 005 |
00000000000000.0 |
| 007 |
cr||||||||||||||||||||| |
| 008 |
200706 ||| eng |
| 020 |
|
|
|a 9783030501433
|
| 100 |
1 |
|
|a Lesot, Marie-Jeanne
|e [editor]
|
| 245 |
0 |
0 |
|a Information Processing and Management of Uncertainty in Knowledge-Based Systems
|h Elektronische Ressource
|b 18th International Conference, IPMU 2020, Lisbon, Portugal, June 15–19, 2020, Proceedings, Part II
|c edited by Marie-Jeanne Lesot, Susana Vieira, Marek Z. Reformat, João Paulo Carvalho, Anna Wilbik, Bernadette Bouchon-Meunier, Ronald R. Yager
|
| 250 |
|
|
|a 1st ed. 2020
|
| 260 |
|
|
|a Cham
|b Springer International Publishing
|c 2020, 2020
|
| 300 |
|
|
|a XXII, 807 p. 510 illus., 64 illus. in color
|b online resource
|
| 505 |
0 |
|
|a Homage to Enrique Ruspini -- Invited Talks -- Foundations and Mathematics -- Decision Making, Preferences and Votes -- Optimization and Uncertainty. –Games -- Real World Applications -- Knowledge Processing and Creation -- Machine Learning I -- Machine Learning II. – XAI -- Image Processing -- Temporal Data Processing -- Text Analysis and Processing -- Fuzzy Interval Analysis -- Theoretical and Applied Aspects of Imprecise Probabilities -- Similarities in Artifcial Intelligence -- Belief Function Theory and its Applications -- Aggregation: Theory and Practice -- Aggregation: Pre-aggregation Functions and other Generalizations of Monotonicity -- Aggregation: Aggregation of Di erent Data Structures -- Fuzzy methods in Data Mining and Knowledge Discovery -- Computational Intelligence for Logistics and Transportation Problems -- Fuzzy Implication Functions -- Soft Methods in Statistics and Data Analysis -- Image Understanding and Explainable AI -- Fuzzy and Generalized Quantifer Theory -- Mathematical Methods Towards Dealing with Uncertainty in Applied Sciences -- Statistical Image Processing and Analysis, with Applications in Neuroimaging -- Interval Uncertainty -- Discrete Models and Computational Intelligence -- Current Techniques to Model, Process and Describe Time Series -- Mathematical Fuzzy Logic and Graded Reasoning Models -- Formal Concept Analysis, Rough Sets, General Operators and Related Topics -- Computational Intelligence Methods in Information Modelling, Representation and Processing
|
| 653 |
|
|
|a Image processing / Digital techniques
|
| 653 |
|
|
|a Computer science
|
| 653 |
|
|
|a Mathematics of Computing
|
| 653 |
|
|
|a Computer science / Mathematics
|
| 653 |
|
|
|a Computer vision
|
| 653 |
|
|
|a Database Management System
|
| 653 |
|
|
|a Artificial Intelligence
|
| 653 |
|
|
|a Computer networks
|
| 653 |
|
|
|a Computer Imaging, Vision, Pattern Recognition and Graphics
|
| 653 |
|
|
|a Computer Engineering and Networks
|
| 653 |
|
|
|a Artificial intelligence
|
| 653 |
|
|
|a Computer engineering
|
| 653 |
|
|
|a Theory of Computation
|
| 653 |
|
|
|a Database management
|
| 700 |
1 |
|
|a Vieira, Susana
|e [editor]
|
| 700 |
1 |
|
|a Reformat, Marek Z.
|e [editor]
|
| 700 |
1 |
|
|a Carvalho, João Paulo
|e [editor]
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
|
|b Springer
|a Springer eBooks 2005-
|
| 490 |
0 |
|
|a Communications in Computer and Information Science
|
| 028 |
5 |
0 |
|a 10.1007/978-3-030-50143-3
|
| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-030-50143-3?nosfx=y
|x Verlag
|3 Volltext
|
| 082 |
0 |
|
|a 006.3
|
| 520 |
|
|
|a This three volume set (CCIS 1237-1239) constitutes the proceedings of the 18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2020, in June 2020. The conference was scheduled to take place in Lisbon, Portugal, at University of Lisbon, but due to COVID-19 pandemic it was held virtually. The 173 papers were carefully reviewed and selected from 213 submissions. The papers are organized in topical sections: homage to Enrique Ruspini; invited talks; foundations and mathematics; decision making, preferences and votes; optimization and uncertainty; games; real world applications; knowledge processing and creation; machine learning I; machine learning II; XAI; image processing; temporal data processing; text analysis and processing; fuzzy interval analysis; theoretical and applied aspects of imprecise probabilities; similarities in artificial intelligence; belief function theory and its applications; aggregation: theory and practice; aggregation: pre-aggregation functions and other generalizations of monotonicity; aggregation: aggregation of different data structures; fuzzy methods in data mining and knowledge discovery; computational intelligence for logistics and transportation problems; fuzzy implication functions; soft methods in statistics and data analysis; image understanding and explainable AI; fuzzy and generalized quantifier theory; mathematical methods towards dealing with uncertainty in applied sciences; statistical image processing and analysis, with applications in neuroimaging; interval uncertainty; discrete models and computational intelligence; current techniques to model, process and describe time series; mathematical fuzzy logic and graded reasoning models; formal concept analysis, rough sets, general operators and related topics; computational intelligence methods in information modelling, representation and processing
|