Scalable Uncertainty Management 12th International Conference, SUM 2018, Milan, Italy, October 3-5, 2018, Proceedings /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Ciucci, Davide (Editor, http://id.loc.gov/vocabulary/relators/edt), Pasi, Gabriella (Editor, http://id.loc.gov/vocabulary/relators/edt), Vantaggi, Barbara (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: Lecture Notes in Artificial Intelligence ; 11142
• Subjects: Artificial intelligence.; Mathematical logic.; Computer logic.; Mathematical statistics.; Programming languages (Electronic computers).; Computer programming.; Artificial Intelligence.; Mathematical Logic and Formal Languages.; Logics and Meanings of Programs.; Probability and Statistics in Computer Science.; Programming Languages, Compilers, Interpreters.; Programming Techniques.
• Physical Description: XI, 413 p. 53 illus. online resource.
• ISBN: 9783030004613
• DOI: 10.1007/978-3-030-00461-3

This book constitutes the refereed proceedings of the 12th International Conference on Scalable Uncertainty Management, SUM 2018, which was held in Milan, Italy, in October 2018. The 23 full, 6 short papers and 2 tutorials presented in this volume were carefully reviewed and selected from 37 submissions. The conference is dedicated to the management of large amounts of complex, uncertain, incomplete, or inconsistent information. New approaches have been developed on imprecise probabilities, fuzzy set theory, rough set theory, ordinal uncertainty representations, or even purely qualitative models.