Incomplete Information Rough Set AnalysisIncomplete Information Rough Set Analysis

2013-03-14 Ewa Orlowska

"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.

Author: Ewa Orlowska

Publisher: Physica

ISBN: 9783790818888

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Page: 613

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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 SetsRough Sets

2017-06-22 Lech Polkowski

1, 331–354 (1976) Nakata, M., Sakai, H.: Twofold rough approximations under incomplete information. Int. J. Gen. Syst. 42, 546–571 (2013) Orlowska, E.: Incomplete Information: Rough Set Analysis, vol. 13.

Author: Lech Polkowski

Publisher: Springer

ISBN: 9783319608402

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Page: 581

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This two-volume set LNAI 10313 and LNAI 10314 constitutes the proceedings of the International Joint Conference on Rough Sets, IJCRS 2017, held in Olsztyn, Poland, in July 2017. The 74 revised full papers presented together with 16 short papers and 16 invited talks, were carefully reviewed and selected from 130 submissions. The papers in this two set-volume of IJCRS 2017 follow the track already rutted by RSCTC and JRS conferences which aimed at unification of many facets of rough set theory from theoretical aspects of the rough set idea bordering on theory of concepts and going through algebraic structures, topological structures, logics for uncertain reasoning, decision algorithms, relations to other theories of vagueness and ambiguity, then to extensions of the rough set idea like granular structures, rough mereology, and to applications of the idea in diverse fields of applied science including hybrid methods like rough-fuzzy, neuro-rough, neuro-rough-fuzzy computing. IJCRS 2017 encompasses topics spread among four main tracks: Rough Sets and Data Science (in relation to RSCTC series organized since 1998); Rough Sets and Granular Computing (in relation to RSFDGrC series organized since 1999); Rough Sets and Knowledge Technology (in relation to RSKT series organized since 2006); and Rough Sets and Intelligent Systems (in relation to RSEISP series organized since 2007).

Thriving Rough SetsThriving Rough Sets

2017-04-28 Guoyin Wang

Incomplete Information: Rough Set Analysis, Studies in Fuzziness and Soft Computing, vol. 13, pp. 75–91. Springer (1998) Grzymała-Busse, J.W.: Data with missing attribute values: Generalization of indiscernibility relation and rule ...

Author: Guoyin Wang

Publisher: Springer

ISBN: 9783319549668

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Page: 439

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This special book is dedicated to the memory of Professor Zdzisław Pawlak, the father of rough set theory, in order to commemorate both the 10th anniversary of his passing and 35 years of rough set theory. The book consists of 20 chapters distributed into four sections, which focus in turn on a historical review of Professor Zdzisław Pawlak and rough set theory; a review of the theory of rough sets; the state of the art of rough set theory; and major developments in rough set based data mining approaches. Apart from Professor Pawlak’s contributions to rough set theory, other areas he was interested in are also included. Moreover, recent theoretical studies and advances in applications are also presented. The book will offer a useful guide for researchers in Knowledge Engineering and Data Mining by suggesting new approaches to solving the problems they encounter.

Rough Set and Knowledge TechnologyRough Set and Knowledge Technology

2010-09-27 Jian Yu

Jaworski, W.: Generalized indiscernibility relations: applications for missing values and analysis of structural objects. In: Peters, J.F., Skowron, A. (eds.) ... Kryszkiewicz, M.: Rough set approach to incomplete information systems.

Author: Jian Yu

Publisher: Springer Science & Business Media

ISBN: 9783642162473

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Page: 797

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This book constitutes the refereed proceedings of the 5th International Conference on Rough Set and Knowledge Technology, RSKT 2010, held in Beijing, China, in October 2010. The 98 revised full papers papers presented were carefully reviewed and selected from 175 initial submissions. The papers are organized in topical sections on rough sets and computing theory, fuzzy sets, knowledge technology, intelligent information processing, health informatics and biometrics authentication, neural networks, complex networks, granular computing, metaheuristic, cloud model and its application, data mining in cloud computing, decision-theoretic rough set model, and quotient space theory research and application.

Transactions on Rough Sets ITransactions on Rough Sets I

2004-10-27 James F. Peters

Orlowska, E., Pawlak, Z.: Representation of Nondeterministic Information. Theoretical Computer Science 29 (1984) 27–39 14. Orlowska, E.: What You Always Wanted to Know about Rough Sets. Incomplete Information: Rough Set Analysis.

Author: James F. Peters

Publisher: Springer

ISBN: 9783540277941

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Page: 406

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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 first volume of the Transactions on Rough Sets opens with an introductory article by Zdzislaw Pawlak, the originator of rough sets. Nine papers deal with rough set theory and eight are devoted to applications in various domains.

Transactions on Rough Sets IITransactions on Rough Sets II

2004-11-29 James F. Peters

Orlowska, E. What you always wanted to know about rough sets, in: Incomplete Information: Rough Set Analysis(Orlowska, E. (ed.)). Studies in Fuzziness and Soft Computing 13. Physica, 1998, pp. 1–20. Lipski, W. On semantic issues ...

Author: James F. Peters

Publisher: Springer

ISBN: 9783540277781

Category:

Page: 363

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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.

Transactions on Rough Sets IXTransactions on Rough Sets IX

2008-12-18 James F. Peters

Kryszkiewicz, M.: Rules in Incomplete Information Systems. ... Nakata, M., Sakai, H.: Rough-set-based Approaches to Data Containing Incomplete Information: Possibility-based Cases ... In: Incomplete Information: Rough Set Analysis, vol.

Author: James F. Peters

Publisher: Springer Science & Business Media

ISBN: 9783540898757

Category:

Page: 760

View: 112

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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. This book, which constitutes the ninth volume of the Transactions on Rough Sets series, providing evidence of the continuing growth of a number of research streams. It includes articles that are extensions of papers included in the first conference on Rough Sets and Intelligent Systems Paradigms. The 26 papers presented in this volume introduce a number of new advances in the foundations and applications of artificial intelligence, engineering, image processing, logic, mathematics, medicine, music, and science.

The Handbook On Reasoning based Intelligent SystemsThe Handbook On Reasoning based Intelligent Systems

2013-01-18 Nakamatsu Kazumi

J. Komorowski, Z. Pawlak, L. Polkowski and A. Skowron: Rough Sets: a tutorial, Rough Fuzzy Hybridization, Springer, pp. 3–98, 1999. L. Polkowski and A. Skowron (eds.): ... Incomplete Information: Rough Set Analysis, Physica-Verlag, 1998.

Author: Nakamatsu Kazumi

Publisher: World Scientific

ISBN: 9789814489164

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Page: 680

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This book consists of various contributions in conjunction with the keywords “reasoning” and “intelligent systems”, which widely covers theoretical to practical aspects of intelligent systems. Therefore, it is suitable for researchers or graduate students who want to study intelligent systems generally.

Rough Sets and Knowledge TechnologyRough Sets and Knowledge Technology

2006-07-06 Guoyin Wang

Greco, S., Matarazzo, B., and Slowinski, R.: Handling Missing Values in Rough Set Analysis of Multi-attribute and ... Kryszkiewicz, M.: Properties of Incomplete Information Systems in the framework of Rough Sets, in L. Polkowski and A.

Author: Guoyin Wang

Publisher: Springer Science & Business Media

ISBN: 9783540362975

Category:

Page: 830

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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 ComputingRough Sets and Current Trends in Computing

2008-10-07 Chien-Chung Chan

In: Incomplete Information: Rough Set Analysis, pp. 75–91. Physica-Verlag (1998) 4. Grzymala-Busse, J.: Data with Missing Attribute Values: Generalization of In- discernibility Relation and Rule Induction. Transactions on Rough Sets 1, ...

Author: Chien-Chung Chan

Publisher: Springer Science & Business Media

ISBN: 9783540884231

Category:

Page: 544

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The articles in this volume were selected for presentation at the Sixth Inter- tional Conference on Rough Sets and Current Trends in Computing (RSCTC 2008), which took place on October 23–25 in Akron, Ohio, USA. The conference is a premier event for researchersand industrial professionals interested in the theory and applications of rough sets and related methodo- gies. Since its introduction over 25 years ago by Zdzislaw Pawlak, the theory of rough sets has grown internationally and matured, leading to novel applications and theoretical works in areas such as data mining and knowledge discovery, machine learning, neural nets, granular and soft computing, Web intelligence, pattern recognition and control. The proceedings of the conferences in this - ries, as well as in Rough Sets and Knowledge Technology (RSKT), and the Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC) series report a variety of innovative applications of rough set theory and of its extensions. Since its inception, the mathematical rough set theory was closely connected to application ?elds of computer science and to other areas, such as medicine, which provided additional motivation for its further development and tested its real-life value. Consequently, rough set conferences emphasize the - teractionsandinterconnectionswith relatedresearchareas,providingforumsfor exchanging ideas and mutual learning. The latter aspect is particularly imp- tant since the development of rough set-related applications usually requires a combination of often diverse expertise in rough sets and an application ?eld.