Rough Set Methods And Applications

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Rough Set Methods and Applications

Author : Lech Polkowski
Publisher : Physica
ISBN 13 : 3790818402
Total Pages : 679 pages
Book Rating : 4.7/5 (98 download)

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Book Synopsis Rough Set Methods and Applications by : Lech Polkowski

Download or read book Rough Set Methods and Applications written by Lech Polkowski and published by Physica. This book was released on 2012-10-07 with total page 679 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Masahiro Inuiguchi
Publisher : Springer
ISBN 13 : 3540364730
Total Pages : 303 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Rough Set Theory and Granular Computing by : Masahiro Inuiguchi

Download or read book Rough Set Theory and Granular Computing written by Masahiro Inuiguchi and published by Springer. This book was released on 2012-12-06 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: After 20 years of pursuing rough set theory and its applications a look on its present state and further prospects is badly needed. The monograph Rough Set Theory and Granular Computing edited by Masahiro Inuiguchi, Shoji Hirano and Shusaku Tsumoto meets this demand. It presents the newest developments in this area and gives fair picture of the state of the art in this domain. Firstly, in the keynote papers by Zdzislaw Pawlak, Andrzej Skowron and Sankar K. Pal the relationship of rough sets with other important methods of data analysis -Bayes theorem, neuro computing and pattern recognitio- is thoroughly examined. Next, several interesting generalizations of the the ory and new directions of research are presented. Furthermore application of rough sets in data mining, in particular, rule induction methods based on rough set theory is presented and discussed. Further important issue dis cussed in the monograph is rough set based data analysis, including study of decisions making in conflict situations. Last but not least, some recent engi neering applications of rough set theory are given. They include a proposal of rough set processor architecture organization for fast implementation of ba sic rough set operations and discussion of results concerning advanced image processing for unmanned aerial vehicle. Thus the monograph beside presenting wide spectrum of ongoing research in this area also points out new emerging areas of study and applications, which makes it a valuable source of information to all interested in this do main.

Rough Sets

Author : Lech Polkowski
Publisher : Springer Science & Business Media
ISBN 13 : 3790817767
Total Pages : 549 pages
Book Rating : 4.7/5 (98 download)

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Book Synopsis Rough Sets by : Lech Polkowski

Download or read book Rough Sets written by Lech Polkowski and published by Springer Science & Business Media. This book was released on 2013-06-05 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Georg Peters
Publisher : Springer Science & Business Media
ISBN 13 : 1447127595
Total Pages : 213 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Rough Sets: Selected Methods and Applications in Management and Engineering by : Georg Peters

Download or read book Rough Sets: Selected Methods and Applications in Management and Engineering written by Georg Peters and published by Springer Science & Business Media. This book was released on 2012-02-22 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Rough Sets in Knowledge Discovery 2

Author : Lech Polkowski
Publisher : Boom Koninklijke Uitgevers
ISBN 13 : 9783790811209
Total Pages : 616 pages
Book Rating : 4.8/5 (112 download)

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Book Synopsis Rough Sets in Knowledge Discovery 2 by : Lech Polkowski

Download or read book Rough Sets in Knowledge Discovery 2 written by Lech Polkowski and published by Boom Koninklijke Uitgevers. This book was released on 1998-08-20 with total page 616 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ideas and techniques worked out in Rough Set Theory allow for knowledge reduction and to finding near - to - functional dependencies in data. This fact determines the importance of these techniques for the rapidly growing field of knowledge discovery. Volume 1 and 2 will bring together articles covering the present state of the methods developed in this field of research. Among the topics covered we may mention: rough mereology and rough mereological approach to knowledge discovery in distributed systems; discretization and quantization of attributes; morphological aspects of rough set theory; analysis of default rules in the framework of rough set theory.

Rough Sets: Selected Methods and Applications in Management and Engineering

Author : Georg Peters
Publisher : Springer Science & Business Media
ISBN 13 : 1447127609
Total Pages : 213 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Rough Sets: Selected Methods and Applications in Management and Engineering by : Georg Peters

Download or read book Rough Sets: Selected Methods and Applications in Management and Engineering written by Georg Peters and published by Springer Science & Business Media. This book was released on 2012-02-21 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Incomplete Information: Rough Set Analysis

Author : Ewa Orlowska
Publisher : Physica
ISBN 13 : 3790818887
Total Pages : 615 pages
Book Rating : 4.7/5 (98 download)

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Book Synopsis Incomplete Information: Rough Set Analysis by : Ewa Orlowska

Download or read book Incomplete Information: Rough Set Analysis written by Ewa Orlowska and published by Physica. This book was released on 2013-03-14 with total page 615 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Artificial Intelligence and Security in Computing Systems

Author : Jerzy Soldek
Publisher : Springer Science & Business Media
ISBN 13 : 9781402073960
Total Pages : 322 pages
Book Rating : 4.0/5 (739 download)

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Book Synopsis Artificial Intelligence and Security in Computing Systems by : Jerzy Soldek

Download or read book Artificial Intelligence and Security in Computing Systems written by Jerzy Soldek and published by Springer Science & Business Media. This book was released on 2003-10-31 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: The multiagent systems section includes laboratory research on multiagent intelligent systems as well as upon their applications in transportation and information systems. The use of natural language in multiagent information systems is described in detail. The general design of the simulation system for a light airplane, created as a part of an intelligent multiagent tutoring system, is also presented.

Rough Sets and Current Trends in Computing

Author : James J. Alpigini
Publisher : Springer Science & Business Media
ISBN 13 : 354044274X
Total Pages : 654 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Rough Sets and Current Trends in Computing by : James J. Alpigini

Download or read book Rough Sets and Current Trends in Computing written by James J. Alpigini and published by Springer Science & Business Media. This book was released on 2002-09-25 with total page 654 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third International Conference on Rough Sets and Current Trends in Computing, RSCTC 2002, held in Malvern, PA, USA in October 2002. The 76 revised regular papers and short communications presented together with 2 keynotes and 5 plenary papers were carefully reviewed and selected from more than 100 submissions. The book offers topical sections on foundation and methods; granular and neural computing; probabilistic reasoning; data mining, machine learning and pattern recognition; Web mining; and applications.

Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications

Author : Muhammad Summair Raza
Publisher : Springer Nature
ISBN 13 : 9813291664
Total Pages : 236 pages
Book Rating : 4.8/5 (132 download)

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Book Synopsis Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications by : Muhammad Summair Raza

Download or read book Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications written by Muhammad Summair Raza and published by Springer Nature. This book was released on 2019-08-23 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive introduction to rough set-based feature selection. Rough set theory, first proposed by Zdzislaw Pawlak in 1982, continues to evolve. Concerned with the classification and analysis of imprecise or uncertain information and knowledge, it has become a prominent tool for data analysis, and enables the reader to systematically study all topics in rough set theory (RST) including preliminaries, advanced concepts, and feature selection using RST. The book is supplemented with an RST-based API library that can be used to implement several RST concepts and RST-based feature selection algorithms. The book provides an essential reference guide for students, researchers, and developers working in the areas of feature selection, knowledge discovery, and reasoning with uncertainty, especially those who are working in RST and granular computing. The primary audience of this book is the research community using rough set theory (RST) to perform feature selection (FS) on large-scale datasets in various domains. However, any community interested in feature selection such as medical, banking, and finance can also benefit from the book. This second edition also covers the dominance-based rough set approach and fuzzy rough sets. The dominance-based rough set approach (DRSA) is an extension of the conventional rough set approach and supports the preference order using the dominance principle. In turn, fuzzy rough sets are fuzzy generalizations of rough sets. An API library for the DRSA is also provided with the second edition of the book.

Rough Sets and Knowledge Technology

Author : Guoyin Wang
Publisher : Springer Science & Business Media
ISBN 13 : 3540362975
Total Pages : 830 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Rough Sets and Knowledge Technology by : Guoyin Wang

Download or read book Rough Sets and Knowledge Technology written by Guoyin Wang and published by Springer Science & Business Media. This book was released on 2006-07-06 with total page 830 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the First International Conference on Rough Sets and Knowledge Technology, RSKT 2006, held in Chongqing, China in July 2006. The volume presents 43 revised full papers and 58 revised short papers, together with 15 commemorative and invited papers. Topics include rough computing, evolutionary computing, fuzzy sets, granular computing, neural computing, machine learning and KDD, logics and reasoning, multiagent systems and Web intelligence, and more.

Transactions on Rough Sets II

Author : James F. Peters
Publisher : Springer
ISBN 13 : 3540277781
Total Pages : 363 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Transactions on Rough Sets II by : James F. Peters

Download or read book Transactions on Rough Sets II written by James F. Peters and published by Springer. This book was released on 2004-11-29 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, starting 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. This second volume of the Transactions on Rough Sets presents 17 thoroughly reviewed revised papers devoted to rough set theory, fuzzy set theory; these papers highlight important aspects of these theories, their interrelation and application in various fields.

Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications

Author : Muhammad Summair Raza
Publisher : Springer
ISBN 13 : 9811049653
Total Pages : 194 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications by : Muhammad Summair Raza

Download or read book Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications written by Muhammad Summair Raza and published by Springer. This book was released on 2017-06-28 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book will provide: 1) In depth explanation of rough set theory along with examples of the concepts. 2) Detailed discussion on idea of feature selection. 3) Details of various representative and state of the art feature selection techniques along with algorithmic explanations. 4) Critical review of state of the art rough set based feature selection methods covering strength and weaknesses of each. 5) In depth investigation of various application areas using rough set based feature selection. 6) Complete Library of Rough Set APIs along with complexity analysis and detailed manual of using APIs 7) Program files of various representative Feature Selection algorithms along with explanation of each. The book will be a complete and self-sufficient source both for primary and secondary audience. Starting from basic concepts to state-of-the art implementation, it will be a constant source of help both for practitioners and researchers. Book will provide in-depth explanation of concepts supplemented with working examples to help in practical implementation. As far as practical implementation is concerned, the researcher/practitioner can fully concentrate on his/her own work without any concern towards implementation of basic RST functionality. Providing complexity analysis along with full working programs will further simplify analysis and comparison of algorithms.

Rough Sets, Fuzzy Sets and Knowledge Discovery

Author : Wojciech P. Ziarko
Publisher : Springer Science & Business Media
ISBN 13 : 1447132386
Total Pages : 486 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Rough Sets, Fuzzy Sets and Knowledge Discovery by : Wojciech P. Ziarko

Download or read book Rough Sets, Fuzzy Sets and Knowledge Discovery written by Wojciech P. Ziarko and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 486 pages. Available in PDF, EPUB and Kindle. Book excerpt: The objective of this book is two-fold. Firstly, it is aimed at bringing to gether key research articles concerned with methodologies for knowledge discovery in databases and their applications. Secondly, it also contains articles discussing fundamentals of rough sets and their relationship to fuzzy sets, machine learning, management of uncertainty and systems of logic for formal reasoning about knowledge. Applications of rough sets in different areas such as medicine, logic design, image processing and expert systems are also represented. The articles included in the book are based on selected papers presented at the International Workshop on Rough Sets and Knowledge Discovery held in Banff, Canada in 1993. The primary methodological approach emphasized in the book is the mathematical theory of rough sets, a relatively new branch of mathematics concerned with the modeling and analysis of classification problems with imprecise, uncertain, or incomplete information. The methods of the theory of rough sets have applications in many sub-areas of artificial intelligence including knowledge discovery, machine learning, formal reasoning in the presence of uncertainty, knowledge acquisition, and others. This spectrum of applications is reflected in this book where articles, although centered around knowledge discovery problems, touch a number of related issues. The book is intended to provide an important reference material for students, researchers, and developers working in the areas of knowledge discovery, machine learning, reasoning with uncertainty, adaptive expert systems, and pattern classification.

Rough Sets

Author : Z. Pawlak
Publisher : Springer Science & Business Media
ISBN 13 : 9401135347
Total Pages : 247 pages
Book Rating : 4.4/5 (11 download)

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Book Synopsis Rough Sets by : Z. Pawlak

Download or read book Rough Sets written by Z. Pawlak and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: To-date computers are supposed to store and exploit knowledge. At least that is one of the aims of research fields such as Artificial Intelligence and Information Systems. However, the problem is to understand what knowledge means, to find ways of representing knowledge, and to specify automated machineries that can extract useful information from stored knowledge. Knowledge is something people have in their mind, and which they can express through natural language. Knowl edge is acquired not only from books, but also from observations made during experiments; in other words, from data. Changing data into knowledge is not a straightforward task. A set of data is generally disorganized, contains useless details, although it can be incomplete. Knowledge is just the opposite: organized (e.g. laying bare dependencies, or classifications), but expressed by means of a poorer language, i.e. pervaded by imprecision or even vagueness, and assuming a level of granularity. One may say that knowledge is summarized and organized data - at least the kind of knowledge that computers can store.

Transactions on Rough Sets XI

Author :
Publisher : Springer
ISBN 13 : 3642114792
Total Pages : 189 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Transactions on Rough Sets XI by :

Download or read book Transactions on Rough Sets XI written by and published by Springer. This book was released on 2010-01-10 with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt: Volume XI of the Transactions on Rough Sets (TRS) provides evidence of f- ther growth in the rough set landscape, both in terms of its foundations and applications. This volume provides further evidence of the number of research streams that were either directly or indirectly initiated by the seminal work on rough 1 sets by Zdzis law Pawlak (1926-2006) . Evidence of the growth of various rough 2 set-based research streams can be found in the rough set database . Thisvolumecontainsarticlesintroducingadvancesinthefoundationsand- plicationsofroughsets.These advancesinclude: calculusofattribute-value pairs useful in mining numerical data, de?nability and coalescence of approximations, variable consistency generalization approach to bagging controlled by measures of consistency, classical and dominance-based rough sets in the search for genes, judgementaboutsatis?abilityunderincompleteinformation,irreducibledescr- tive sets of attributes for information systems useful in the design of concurrent data models, computational theory of perceptions (CTP) and its characteristics and the relation with fuzzy-granulation, methods and algorithms of the Net- TRS system, a recursive version of the apriori algorithm designed for parallel processing, and decision table reduction method based on fuzzy rough sets. Theeditorsandauthorsofthisvolumeextendtheirgratitudetothereviewers of articles in this volume, Alfred Hofmann, Ursula Barth, Christine Reiss and the LNCS sta? at Springer for their support in making this volume of the TRS possible.

Rough Sets, Fuzzy Sets, Data Mining and Granular Computing

Author : Hiroshi Sakai
Publisher : Springer Science & Business Media
ISBN 13 : 3642106455
Total Pages : 539 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Rough Sets, Fuzzy Sets, Data Mining and Granular Computing by : Hiroshi Sakai

Download or read book Rough Sets, Fuzzy Sets, Data Mining and Granular Computing written by Hiroshi Sakai and published by Springer Science & Business Media. This book was released on 2009-11-30 with total page 539 pages. Available in PDF, EPUB and Kindle. Book excerpt: Welcome to the 12th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC 2009), held at the Indian Institute of Technology (IIT), Delhi, India, during December 15-18, 2009. RSFDGrC is a series of conferences spanning over the last 15 years. It investigates the me- ing points among the four major areas outlined in its title. This year, it was co-organized with the Third International Conference on Pattern Recognition and Machine Intelligence (PReMI 2009), which provided additional means for multi-facetedinteractionofboth scientists andpractitioners.Itwasalsothe core component of this year's Rough Set Year in India project. However, it remained a fully international event aimed at building bridges between countries. The ?rst sectin contains the invited papers and a short report on the abo- mentioned project. Let us note that all the RSFDGrC 2009 plenary speakers, Ivo Düntsch, Zbigniew Suraj, Zhongzhi Shi, Sergei Kuznetsov, Qiang Shen, and Yukio Ohsawa, contributed with the full-length articles in the proceedings. The remaining six sections contain 56 regular papers that were selected out of 130 submissions, each peer-reviewed by three PC members. We thank the authors for their high-quality papers submitted to this volume and regret that many deserving papers could not be accepted because of our urge to maintain strict standards. It is worth mentioning that there was quite a good number of papers on the foundations of rough sets and fuzzy sets, many of them authored byIndianresearchers.ThefuzzysettheoryhasbeenpopularinIndiaforalonger time. Now, we can see the rising interest in the rough set theory.