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Information Processing and Management of Uncertainty in Knowledge-Based Systems: 16th International Conference, IPMU 2016, Eindhoven, The Netherlands, June 20 - 24, 2016, Proceedings, Part II: Communications in Computer and Information Science, cartea 611

Editat de Joao Paulo Carvalho, Marie-Jeanne Lesot, Uzay Kaymak, Susana Vieira, Bernadette Bouchon-Meunier, Ronald R. Yager
en Limba Engleză Paperback – 12 iun 2016
This two volume set (CCIS 610 and 611) constitute the proceedings of the 16th International Conference on Information processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2016, held in Eindhoven, The Netherlands, in June 2016.
The 127 revised full papers presented together with four invited talks were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on fuzzy measures and integrals; uncertainty quantification with imprecise probability; textual data processing; belief functions theory and its applications; graphical models; fuzzy implications functions; applications in medicine and bioinformatics; real-world applications; soft computing for image processing; clustering; fuzzy logic, formal concept analysis and rough sets; graded and many-valued modal logics; imperfect databases; multiple criteria decision methods; argumentation and belief revision; databases and information systems; conceptual aspectsof data aggregation and complex data fusion; fuzzy sets and fuzzy logic; decision support; comparison measures; machine learning; social data processing; temporal data processing; aggregation.
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Specificații

ISBN-13: 9783319405803
ISBN-10: 3319405802
Pagini: 782
Ilustrații: XXIV, 836 p. 142 illus.
Dimensiuni: 155 x 235 x 43 mm
Greutate: 1.18 kg
Ediția:1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Seria Communications in Computer and Information Science

Locul publicării:Cham, Switzerland

Cuprins

Fuzzy measures and integrals.- Uncertainty quantification with Imprecise probability.- Textual data processing.- Belief functions theory and its applications.- Graphical models.- Fuzzy implications functions.- Applications in medicine and bioinformatics; real-world applications; soft computing for image processing.- Clustering.- Fuzzy logic, formal concept analysis and rough sets.- Graded and many-valued modal logics.- Imperfect databases.- Multiple criteria decision methods; argumentation and belief revision; databases and information systems.- Conceptual aspects of data aggregation and complex data fusion.- Fuzzy sets and fuzzy logic.- Decision support.- Comparison measures.-Machine learning.- Social data processing.- Temporal data processing.-Aggregation.

Caracteristici

Includes supplementary material: sn.pub/extras