Transactions on Rough Sets XV
Transactions on Rough Sets XV [electronic resource] /
edited by James F. Peters, Andrzej Skowron.
- 1st ed. 2012.
- IX, 181 p. 54 illus. online resource.
- Transactions on Rough Sets, 7255 1861-2067 ; .
- Transactions on Rough Sets, 7255 .
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.
9783642319037
10.1007/978-3-642-31903-7 doi
Pattern recognition systems.
Artificial intelligence.
Machine theory.
Numerical analysis.
Computer vision.
Information storage and retrieval systems.
Automated Pattern Recognition.
Artificial Intelligence.
Formal Languages and Automata Theory.
Numerical Analysis.
Computer Vision.
Information Storage and Retrieval.
Q337.5 TK7882.P3
006.4
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.
9783642319037
10.1007/978-3-642-31903-7 doi
Pattern recognition systems.
Artificial intelligence.
Machine theory.
Numerical analysis.
Computer vision.
Information storage and retrieval systems.
Automated Pattern Recognition.
Artificial Intelligence.
Formal Languages and Automata Theory.
Numerical Analysis.
Computer Vision.
Information Storage and Retrieval.
Q337.5 TK7882.P3
006.4