Scalable Uncertainty Management 13th International Conference, SUM 2019, Compiègne, France, December 16-18, 2019, Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Ben Amor, Nahla (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Quost, Benjamin (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Theobald, Martin (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Lecture Notes in Artificial Intelligence ; 11940
• Θέματα: Artificial intelligence.; Computer logic.; Mathematical statistics.; Artificial Intelligence.; Logics and Meanings of Programs.; Probability and Statistics in Computer Science.
• Φυσική περιγραφή: XI, 452 p. 220 illus., 57 illus. in color. online resource.
• ISBN: 9783030355142
• DOI: 10.1007/978-3-030-35514-2

This book constitutes the refereed proceedings of the 13th International Conference on Scalable Uncertainty Management, SUM 2019, which was held in Compiègne, France, in December 2019. The 25 full, 4 short, 4 tutorial, 2 invited keynote papers presented in this volume were carefully reviewed and selected from 44 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.