Buch, Englisch, 181 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 300 g
Reihe: Transactions on Rough Sets
Buch, Englisch, 181 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 300 g
Reihe: Transactions on Rough Sets
ISBN: 978-3-642-31902-0
Verlag: Springer
The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets
and other approaches to uncertainty, vagueness, and incompleteness, such as fuzzy sets and theory of evidence.
Volume XV offers a number of research streams that have grown out of the seminal work by Zdzislaw Pawlak. The 4 contributions included in this volume presents a rough set approach in machine learning; the introduction of multi-valued near set theory; the advent of a complete system that supports a rough-near set approach to digital image analysis; and an exhaustive study of the mathematics of vagueness.
Zielgruppe
Research
