Transactions on Rough Sets XV Lecture Notes in Computer Science Transactions on Rough Se

-- 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 Front Matter....Pages - Dynamic Rule-Based Similarity Model for DNA Microarray Data....Pages 1-25 Multi-valued Approach to Near Set Theory....Pages 26-40 Perceptual Indiscernibility, Rough Sets, Descriptively Near Sets, and Image Analysis....Pages 41-121 Dialectics of Counting and the Mathematics of Vagueness....Pages 122-180 Back Matter....Pages -