Rough Set Methods and Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Rough Set Methods and Applications write by Lech Polkowski. This book was released on 2012-10-07. Rough Set Methods and Applications available in PDF, EPUB and Kindle. Rough set approach to reasoning under uncertainty is based on inducing knowledge representation from data under constraints expressed by discernibility or, more generally, similarity of objects. Knowledge derived by this approach consists of reducts, decision or association rules, dependencies, templates, or classifiers. This monograph presents the state of the art of this area. The reader will find here a deep theoretical discussion of relevant notions and ideas as well as rich inventory of algorithmic and heuristic tools for knowledge discovery by rough set methods. An extensive bibliography will help the reader to get an acquaintance with this rapidly growing area of research.
Rough Set Theory and Granular Computing
Rough Set Theory and Granular Computing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Rough Set Theory and Granular Computing write by Masahiro Inuiguchi. This book was released on 2003-04-22. Rough Set Theory and Granular Computing available in PDF, EPUB and Kindle. This monograph presents novel approaches and new results in fundamentals and applications related to rough sets and granular computing. It includes the application of rough sets to real world problems, such as data mining, decision support and sensor fusion. The relationship of rough sets to other important methods of data analysis – Bayes theorem, neurocomputing and pattern recognition is thoroughly examined. Another issue is the rough set based data analysis, including the study of decision making in conflict situations. Recent engineering applications of rough set theory are given, including a processor architecture organization for fast implementation of basic rough set operations and results concerning advanced image processing for unmanned aerial vehicles. New emerging areas of study and applications are presented as well as a wide spectrum of on-going research, which makes the book valuable to all interested in the field of rough set theory and granular computing.
Incomplete Information: Rough Set Analysis
Incomplete Information: Rough Set Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Incomplete Information: Rough Set Analysis write by Ewa Orlowska. This book was released on 2013-03-14. Incomplete Information: Rough Set Analysis available in PDF, EPUB and Kindle. In 1982, Professor Pawlak published his seminal paper on what he called "rough sets" - a work which opened a new direction in the development of theories of incomplete information. Today, a decade and a half later, the theory of rough sets has evolved into a far-reaching methodology for dealing with a wide variety of issues centering on incompleteness and imprecision of information - issues which playa key role in the conception and design of intelligent information systems. "Incomplete Information: Rough Set Analysis" - or RSA for short - presents an up-to-date and highly authoritative account of the current status of the basic theory, its many extensions and wide-ranging applications. Edited by Professor Ewa Orlowska, one of the leading contributors to the theory of rough sets, RSA is a collection of nineteen well-integrated chapters authored by experts in rough set theory and related fields. A common thread that runs through these chapters ties the concept of incompleteness of information to those of indiscernibility and similarity.
Rough Sets
Rough Sets - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Rough Sets write by Lech Polkowski. This book was released on 2013-06-05. Rough Sets available in PDF, EPUB and Kindle. A comprehensive introduction to mathematical structures essential for Rough Set Theory. The book enables the reader to systematically study all topics of rough set theory. After a detailed introduction in Part 1 along with an extensive bibliography of current research papers. Part 2 presents a self-contained study that brings together all the relevant information from respective areas of mathematics and logics. Part 3 provides an overall picture of theoretical developments in rough set theory, covering logical, algebraic, and topological methods. Topics covered include: algebraic theory of approximation spaces, logical and set-theoretical approaches to indiscernibility and functional dependence, topological spaces of rough sets. The final part gives a unique view on mutual relations between fuzzy and rough set theories (rough fuzzy and fuzzy rough sets). Over 300 excercises allow the reader to master the topics considered. The book can be used as a textbook and as a reference work.
Rough Sets: Selected Methods and Applications in Management and Engineering
Rough Sets: Selected Methods and Applications in Management and Engineering - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Rough Sets: Selected Methods and Applications in Management and Engineering write by Georg Peters. This book was released on 2012-02-21. Rough Sets: Selected Methods and Applications in Management and Engineering available in PDF, EPUB and Kindle. Rough Set Theory, introduced by Pawlak in the early 1980s, has become an important part of soft computing within the last 25 years. However, much of the focus has been on the theoretical understanding of Rough Sets, with a survey of Rough Sets and their applications within business and industry much desired. Rough Sets: Selected Methods and Applications in Management and Engineering provides context to Rough Set theory, with each chapter exploring a real-world application of Rough Sets. Rough Sets is relevant to managers striving to improve their businesses, industry researchers looking to improve the efficiency of their solutions, and university researchers wanting to apply Rough Sets to real-world problems.
