Rough Set Methods And Applications

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Rough Set Methods and Applications

Lech Polkowski,Shusaku Tsumoto,Tsau Y. Lin
Rough Set Methods and Applications Book PDF

Author : Lech Polkowski,Shusaku Tsumoto,Tsau Y. Lin
Publisher : Physica
Page : 679 pages
File Size : 51,7 Mb
Release : 2012-10-07
Category : Computers
ISBN : 9783790818406

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Rough Set Methods and Applications by Lech Polkowski,Shusaku Tsumoto,Tsau Y. Lin Pdf

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 Sets

Lech Polkowski
Rough Sets Book PDF

Author : Lech Polkowski
Publisher : Springer Science & Business Media
Page : 549 pages
File Size : 46,9 Mb
Release : 2013-06-05
Category : Mathematics
ISBN : 9783790817768

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Rough Sets by Lech Polkowski Pdf

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 Set Theory and Granular Computing

Masahiro Inuiguchi,Shusaku Tsumoto,Shoji Hirano
Rough Set Theory and Granular Computing Book PDF

Author : Masahiro Inuiguchi,Shusaku Tsumoto,Shoji Hirano
Publisher : Springer
Page : 303 pages
File Size : 55,8 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9783540364733

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Rough Set Theory and Granular Computing by Masahiro Inuiguchi,Shusaku Tsumoto,Shoji Hirano Pdf

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: Selected Methods and Applications in Management and Engineering

Georg Peters,Pawan Lingras,Dominik Ślȩzak,Yiyu Yao
Rough Sets Selected Methods and Applications in Management and Engineering Book PDF

Author : Georg Peters,Pawan Lingras,Dominik Ślȩzak,Yiyu Yao
Publisher : Springer Science & Business Media
Page : 213 pages
File Size : 46,7 Mb
Release : 2012-02-22
Category : Computers
ISBN : 9781447127598

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Rough Sets: Selected Methods and Applications in Management and Engineering by Georg Peters,Pawan Lingras,Dominik Ślȩzak,Yiyu Yao Pdf

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

Lech Polkowski,Andrzej Skowron
Rough Sets in Knowledge Discovery 2 Book PDF

Author : Lech Polkowski,Andrzej Skowron
Publisher : Boom Koninklijke Uitgevers
Page : 616 pages
File Size : 51,7 Mb
Release : 1998-08-20
Category : Business & Economics
ISBN : 3790811203

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Rough Sets in Knowledge Discovery 2 by Lech Polkowski,Andrzej Skowron Pdf

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

Georg Peters,Pawan Lingras,Dominik Ślęzak,Yiyu Yao
Rough Sets Selected Methods and Applications in Management and Engineering Book PDF

Author : Georg Peters,Pawan Lingras,Dominik Ślęzak,Yiyu Yao
Publisher : Springer Science & Business Media
Page : 213 pages
File Size : 42,8 Mb
Release : 2012-02-21
Category : Computers
ISBN : 9781447127604

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Rough Sets: Selected Methods and Applications in Management and Engineering by Georg Peters,Pawan Lingras,Dominik Ślęzak,Yiyu Yao Pdf

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

Ewa Orlowska
Incomplete Information Rough Set Analysis Book PDF

Author : Ewa Orlowska
Publisher : Physica
Page : 615 pages
File Size : 51,8 Mb
Release : 2013-03-14
Category : Computers
ISBN : 9783790818888

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Incomplete Information: Rough Set Analysis by Ewa Orlowska Pdf

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

Jerzy Soldek,Leszek Drobiazgiewicz
Artificial Intelligence and Security in Computing Systems Book PDF

Author : Jerzy Soldek,Leszek Drobiazgiewicz
Publisher : Springer Science & Business Media
Page : 322 pages
File Size : 47,9 Mb
Release : 2003-10-31
Category : Computers
ISBN : 1402073968

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Artificial Intelligence and Security in Computing Systems by Jerzy Soldek,Leszek Drobiazgiewicz Pdf

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.

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

Muhammad Summair Raza,Usman Qamar
Understanding and Using Rough Set Based Feature Selection Concepts Techniques and Applications Book PDF

Author : Muhammad Summair Raza,Usman Qamar
Publisher : Springer Nature
Page : 236 pages
File Size : 54,9 Mb
Release : 2019-08-23
Category : Computers
ISBN : 9789813291669

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Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications by Muhammad Summair Raza,Usman Qamar Pdf

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 Set Theory: A True Landmark in Data Analysis

Ajith Abraham,Rafael Falcón,Rafael Bello
Rough Set Theory A True Landmark in Data Analysis Book PDF

Author : Ajith Abraham,Rafael Falcón,Rafael Bello
Publisher : Springer Science & Business Media
Page : 330 pages
File Size : 55,5 Mb
Release : 2009-02-26
Category : Computers
ISBN : 9783540899204

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Rough Set Theory: A True Landmark in Data Analysis by Ajith Abraham,Rafael Falcón,Rafael Bello Pdf

Part 1 of this book deals with theoretical contributions of rough set theory, and parts 2 and 3 focus on several real world data mining applications. The book thoroughly explores recent results in rough set research.

Uncertainty Management with Fuzzy and Rough Sets

Rafael Bello,Rafael Falcon,José Luis Verdegay
Uncertainty Management with Fuzzy and Rough Sets Book PDF

Author : Rafael Bello,Rafael Falcon,José Luis Verdegay
Publisher : Springer
Page : 413 pages
File Size : 54,7 Mb
Release : 2019-01-22
Category : Technology & Engineering
ISBN : 9783030104634

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Uncertainty Management with Fuzzy and Rough Sets by Rafael Bello,Rafael Falcon,José Luis Verdegay Pdf

This book offers a timely overview of fuzzy and rough set theories and methods. Based on selected contributions presented at the International Symposium on Fuzzy and Rough Sets, ISFUROS 2017, held in Varadero, Cuba, on October 24-26, 2017, the book also covers related approaches, such as hybrid rough-fuzzy sets and hybrid fuzzy-rough sets and granular computing, as well as a number of applications, from big data analytics, to business intelligence, security, robotics, logistics, wireless sensor networks and many more. It is intended as a source of inspiration for PhD students and researchers in the field, fostering not only new ideas but also collaboration between young researchers and institutions and established ones.

Rough Sets and Knowledge Technology

Guoyin Wang,James F. Peters,Yiju Yao
Rough Sets and Knowledge Technology Book PDF

Author : Guoyin Wang,James F. Peters,Yiju Yao
Publisher : Springer Science & Business Media
Page : 830 pages
File Size : 45,7 Mb
Release : 2006-07-06
Category : Computers
ISBN : 9783540362975

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Rough Sets and Knowledge Technology by Guoyin Wang,James F. Peters,Yiju Yao Pdf

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.

Rough Sets and Current Trends in Computing

James J. Alpigini
Rough Sets and Current Trends in Computing Book PDF

Author : James J. Alpigini
Publisher : Springer Science & Business Media
Page : 654 pages
File Size : 44,8 Mb
Release : 2002-09-25
Category : Computers
ISBN : 9783540442745

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Rough Sets and Current Trends in Computing by James J. Alpigini Pdf

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

Muhammad Summair Raza,Usman Qamar
Understanding and Using Rough Set Based Feature Selection Concepts Techniques and Applications Book PDF

Author : Muhammad Summair Raza,Usman Qamar
Publisher : Springer
Page : 194 pages
File Size : 44,8 Mb
Release : 2017-06-28
Category : Computers
ISBN : 9789811049651

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Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications by Muhammad Summair Raza,Usman Qamar Pdf

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

Z. Pawlak
Rough Sets Book PDF

Author : Z. Pawlak
Publisher : Springer Science & Business Media
Page : 247 pages
File Size : 48,9 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9789401135344

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Rough Sets by Z. Pawlak Pdf

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.