Editors:
Part of the book series: Communications in Computer and Information Science (CCIS, volume 853)
Conference series link(s): IPMU: International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems
Conference proceedings info: IPMU 2018.
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Table of contents (66 papers)
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Front Matter
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Advances on Explainable Artificial Intelligence
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Front Matter
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Aggregation Operators, Fuzzy Metrics and Applications
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Front Matter
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Other Volumes
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Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations
About this book
This three volume set (CCIS 853-855) constitutes the proceedings of the 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2017, held in Cádiz, Spain, in June 2018.
The 193 revised full papers were carefully reviewed and selected from 383 submissions. The papers are organized in topical sections on advances on explainable artificial intelligence; aggregation operators, fuzzy metrics and applications; belief function theory and its applications; current techniques to model, process and describe time series; discrete models and computational intelligence; formal concept analysis and uncertainty; fuzzy implication functions; fuzzy logic and artificial intelligence problems; fuzzy mathematical analysis and applications; fuzzy methods in data mining and knowledge discovery; fuzzy transforms: theory and applications to data analysis and image processing; imprecise probabilities: foundations and applications; mathematical fuzzy logic, mathematical morphology; measures of comparison and entropies for fuzzy sets and their extensions; new trends in data aggregation; pre-aggregation functions and generalized forms of monotonicity; rough and fuzzy similarity modelling tools; soft computing for decision making in uncertainty; soft computing in information retrieval and sentiment analysis; tri-partitions and uncertainty; decision making modeling and applications; logical methods in mining knowledge from big data; metaheuristics and machine learning; optimization models for modern analytics; uncertainty in medicine; uncertainty in Video/Image Processing (UVIP).
Keywords
- algorithms
- artificial intelligence
- data mining
- evolutionary algorithms
- Formal Concept Analysis (FCA)
- fuzzy logic
- fuzzy sets
- fuzzy systems
- genetic algorithms
- knowledge based systems
- machine learning
- natural computing
- problem solving
- rough sets
- semantics
- social networking
- Support Vector Machines (SVM)
- uncertainty
- algorithm analysis and problem complexity
Editors and Affiliations
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Universidad de Cádiz, Cádiz, Spain
Jesús Medina
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Universidad de Málaga, Málaga, Spain
Manuel Ojeda-Aciego, Inma P. Cabrera
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Universidad de Granada, Granada, Spain
José Luis Verdegay, David A. Pelta
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LIP6, Université Pierre et Marie Curie, CNRS, Paris, France
Bernadette Bouchon-Meunier
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Iona College, New Rochelle, USA
Ronald R. Yager
Bibliographic Information
Book Title: Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations
Book Subtitle: 17th International Conference, IPMU 2018, Cádiz, Spain, June 11-15, 2018, Proceedings, Part I
Editors: Jesús Medina, Manuel Ojeda-Aciego, José Luis Verdegay, David A. Pelta, Inma P. Cabrera, Bernadette Bouchon-Meunier, Ronald R. Yager
Series Title: Communications in Computer and Information Science
DOI: https://doi.org/10.1007/978-3-319-91473-2
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2018
Softcover ISBN: 978-3-319-91472-5Published: 18 May 2018
eBook ISBN: 978-3-319-91473-2Published: 30 May 2018
Series ISSN: 1865-0929
Series E-ISSN: 1865-0937
Edition Number: 1
Number of Pages: XLIV, 806
Number of Illustrations: 174 b/w illustrations
Topics: Artificial Intelligence, Mathematical Logic and Formal Languages, Data Mining and Knowledge Discovery, Algorithm Analysis and Problem Complexity, Computer Appl. in Administrative Data Processing