Transactions on Rough Sets XV [electronic resource] /
Peters, James F.editor.
Skowron, Andrzej.editor.(orcid)0000-0002-5271-6559https://orcid.org/0000-0002-5271-6559edt
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.
Bibliographic Level Mode of Issuance: Monograph
Includes bibliographical references and index.
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.
Pattern recognition.
Artificial intelligence.
Mathematical logic.
Numerical analysis.
Optical data processing.
Information storage and retrieval.
Pattern Recognition.
Artificial Intelligence.
Mathematical Logic and Formal Languages.
Numeric Computing.
Image Processing and Computer Vision.
Information Storage and Retrieval.