Uncertainty Management With Fuzzy And Rough Sets

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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 : 46,8 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.

Uncertainty Management with Fuzzy and Rough Sets

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

Author : Rafael Bello,Rafael Falcón,José Luis Verdegay
Publisher : Unknown
Page : 128 pages
File Size : 44,7 Mb
Release : 2019
Category : Electronic books
ISBN : 3030104648

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Uncertainty Management with Fuzzy and Rough Sets by Rafael Bello,Rafael Falcón,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, Fuzzy Sets and Knowledge Discovery

Wojciech P. Ziarko
Rough Sets Fuzzy Sets and Knowledge Discovery Book PDF

Author : Wojciech P. Ziarko
Publisher : Springer Science & Business Media
Page : 486 pages
File Size : 47,9 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781447132387

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Rough Sets, Fuzzy Sets and Knowledge Discovery by Wojciech P. Ziarko Pdf

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.

Transactions on Rough Sets VI

James F. Peters,Ivo Düntsch,Jerzy Grzymala-Busse,Ewa Orlowska,Lech Polkowski
Transactions on Rough Sets VI Book PDF

Author : James F. Peters,Ivo Düntsch,Jerzy Grzymala-Busse,Ewa Orlowska,Lech Polkowski
Publisher : Springer Science & Business Media
Page : 508 pages
File Size : 42,7 Mb
Release : 2007-03-08
Category : Computers
ISBN : 9783540711988

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Transactions on Rough Sets VI by James F. Peters,Ivo Düntsch,Jerzy Grzymala-Busse,Ewa Orlowska,Lech Polkowski Pdf

Annotation 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 VI of the Transactions on Rough Sets (TRS) commemorates the life and work of Zdzislaw Pawlak (1926-2006). His legacy is rich and varied. Prof. Pawlak's research contributions have had far-reaching implications inasmuch as his works are fundamental in establishing new perspectives for scientific research in a wide spectrum of fields. This volume of the TRS presents papers that reflect the profound influence of a number of research initiatives by Professor Pawlak. In particular, this volume introduces a number of new advances in the foundations and applications of artificial intelligence, engineering, logic, mathematics, and science. These advances have significant implications in a number of research areas such as the foundations of rough sets, approximate reasoning, bioinformatics, computational intelligence, cognitive science, data mining, information systems, intelligent systems, machine intelligence, and security.

Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations

Jesús Medina,Manuel Ojeda-Aciego,José Luis Verdegay,David A. Pelta,Inma P. Cabrera,Bernadette Bouchon-Meunier,Ronald R. Yager
Information Processing and Management of Uncertainty in Knowledge Based Systems Theory and Foundations Book PDF

Author : Jesús Medina,Manuel Ojeda-Aciego,José Luis Verdegay,David A. Pelta,Inma P. Cabrera,Bernadette Bouchon-Meunier,Ronald R. Yager
Publisher : Springer
Page : 835 pages
File Size : 43,7 Mb
Release : 2018-05-30
Category : Computers
ISBN : 9783319914732

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Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations by Jesús Medina,Manuel Ojeda-Aciego,José Luis Verdegay,David A. Pelta,Inma P. Cabrera,Bernadette Bouchon-Meunier,Ronald R. Yager Pdf

This three volume set (CCIS 853-855) constitutes the proceedings of the 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2017, held in Cádiz, Spain, in June 2018. The 193 revised full papers were carefully reviewed and selected from 383 submissions. The papers are organized in topical sections on advances on explainable artificial intelligence; aggregation operators, fuzzy metrics and applications; belief function theory and its applications; current techniques to model, process and describe time series; discrete models and computational intelligence; formal concept analysis and uncertainty; fuzzy implication functions; fuzzy logic and artificial intelligence problems; fuzzy mathematical analysis and applications; fuzzy methods in data mining and knowledge discovery; fuzzy transforms: theory and applications to data analysis and image processing; imprecise probabilities: foundations and applications; mathematical fuzzy logic, mathematical morphology; measures of comparison and entropies for fuzzy sets and their extensions; new trends in data aggregation; pre-aggregation functions and generalized forms of monotonicity; rough and fuzzy similarity modelling tools; soft computing for decision making in uncertainty; soft computing in information retrieval and sentiment analysis; tri-partitions and uncertainty; decision making modeling and applications; logical methods in mining knowledge from big data; metaheuristics and machine learning; optimization models for modern analytics; uncertainty in medicine; uncertainty in Video/Image Processing (UVIP).

Rough Sets, Fuzzy Sets, Data Mining and Granular Computing

Aijun An,Jerzy Stefanowski,Sheela Ramanna,Cory Butz,Witold Pedrycz
Rough Sets Fuzzy Sets Data Mining and Granular Computing Book PDF

Author : Aijun An,Jerzy Stefanowski,Sheela Ramanna,Cory Butz,Witold Pedrycz
Publisher : Springer Science & Business Media
Page : 598 pages
File Size : 44,8 Mb
Release : 2007-04-27
Category : Computers
ISBN : 9783540725299

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Rough Sets, Fuzzy Sets, Data Mining and Granular Computing by Aijun An,Jerzy Stefanowski,Sheela Ramanna,Cory Butz,Witold Pedrycz Pdf

This book constitutes the refereed proceedings of the 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2007, held in Toronto, Canada in May 2007 in conjunction with the Second International Conference on Rough Sets and Knowledge Technology, RSKT 2007, both as part of the Joint Rough Set Symposium, JRS 2007.

Integrated Uncertainty Management and Applications

Van-Nam Huynh,Yoshiteru Nakamori,Jonathan Lawry,Masahiro Inuiguchi
Integrated Uncertainty Management and Applications Book PDF

Author : Van-Nam Huynh,Yoshiteru Nakamori,Jonathan Lawry,Masahiro Inuiguchi
Publisher : Springer Science & Business Media
Page : 569 pages
File Size : 50,6 Mb
Release : 2010-03-26
Category : Technology & Engineering
ISBN : 9783642119606

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Integrated Uncertainty Management and Applications by Van-Nam Huynh,Yoshiteru Nakamori,Jonathan Lawry,Masahiro Inuiguchi Pdf

Solving practical problems often requires the integration of information and knowledge from many different sources, taking into account uncertainty and impreciseness. The 2010 International Symposium on Integrated Uncertainty Management and Applications (IUM’2010), which takes place at the Japan Advanced Institute of Science and Technology (JAIST), Ishikawa, Japan, between 9th–11th April, is therefore conceived as a forum for the discussion and exchange of research results, ideas for and experience of application among researchers and practitioners involved with all aspects of uncertainty modelling and management.

Rough Sets

Rafael Bello,Duoqian Miao,Rafael Falcon,Michinori Nakata,Alejandro Rosete,Davide Ciucci
Rough Sets Book PDF

Author : Rafael Bello,Duoqian Miao,Rafael Falcon,Michinori Nakata,Alejandro Rosete,Davide Ciucci
Publisher : Springer Nature
Page : 517 pages
File Size : 51,7 Mb
Release : 2020-07-07
Category : Computers
ISBN : 9783030527051

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Rough Sets by Rafael Bello,Duoqian Miao,Rafael Falcon,Michinori Nakata,Alejandro Rosete,Davide Ciucci Pdf

The volume LNAI 12179 constitutes the proceedings of the International Joint Conference on Rough Sets, IJCRS 2020, which was due to be held in Havana, Cuba, in June 2020. The conference was held virtually due to the COVID-19 pandemic. The 37 full papers accepted were carefully reviewed and selected from 50 submissions. The papers are grouped in the following topical sections: general rough sets; three-way decision theory; attribute reduction; granular computing; formal concept analysis; data summarization; community detection; fuzzy cognitive maps; tutorials.

Flexible Approaches in Data, Information and Knowledge Management

Olivier Pivert,Sławomir Zadrożny
Flexible Approaches in Data Information and Knowledge Management Book PDF

Author : Olivier Pivert,Sławomir Zadrożny
Publisher : Springer
Page : 320 pages
File Size : 42,7 Mb
Release : 2013-09-12
Category : Technology & Engineering
ISBN : 9783319009544

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Flexible Approaches in Data, Information and Knowledge Management by Olivier Pivert,Sławomir Zadrożny Pdf

This volume showcases contributions from internationally-known researchers in the field of information management. Most of the approaches presented here make use of fuzzy logic, introduced by L.A. Zadeh almost 50 years ago, which constitute a powerful tool to model and handle gradual concepts. What all of these contributions have in common is placing the user at the center of the information system, be it for helping him/her to query a data set, to handle imperfect information, or to discover useful knowledge from a massive collection of data. Researchers working in data and knowledge management will greatly benefit from this collection of up-to-date studies. This may be also an invaluable source of information for postgraduate students interested in advanced information management techniques.

Methods for Handling Imperfect Spatial Information

Robert Jeansoulin,Odile Papini,Henri Prade,Steven Schockaert
Methods for Handling Imperfect Spatial Information Book PDF

Author : Robert Jeansoulin,Odile Papini,Henri Prade,Steven Schockaert
Publisher : Springer Science & Business Media
Page : 380 pages
File Size : 42,5 Mb
Release : 2010-10-04
Category : Mathematics
ISBN : 9783642147548

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Methods for Handling Imperfect Spatial Information by Robert Jeansoulin,Odile Papini,Henri Prade,Steven Schockaert Pdf

Spatial information is pervaded by uncertainty. Indeed, geographical data is often obtained by an imperfect interpretation of remote sensing images, while people attach ill-defined or ambiguous labels to places and their properties. As another example, medical images are often the result of measurements by imprecise sensors (e.g. MRI scans). Moreover, by processing spatial information in real-world applications, additional uncertainty is introduced, e.g. due to the use of interpolation/extrapolation techniques or to conflicts that are detected in an information fusion step. To the best of our knowledge, this book presents the first overview of spatial uncertainty which goes beyond the setting of geographical information systems. Uncertainty issues are especially addressed from a representation and reasoning point of view. In particular, the book consists of 14 chapters, which are clustered around three central topics. The first of these topics is about the uncertainty in meaning of linguistic descriptions of spatial scenes. Second, the issue of reasoning about spatial relations and dealing with inconsistency in information merging is studied. Finally, interpolation and prediction of spatial phenomena are investigated, both at the methodological level and from an application-oriented perspective. The concept of uncertainty by itself is understood in a broad sense, including both quantitative and more qualitative approaches, dealing with variability, epistemic uncertainty, as well as with vagueness of terms.

Rough Sets and Current Trends in Computing

Lech Polkowski
Rough Sets and Current Trends in Computing Book PDF

Author : Lech Polkowski
Publisher : Springer
Page : 626 pages
File Size : 43,7 Mb
Release : 2003-05-20
Category : Computers
ISBN : 9783540691150

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Rough Sets and Current Trends in Computing by Lech Polkowski Pdf

This volume constitutes the refereed proceedings of the First International Conference on Rough Sets and Current Trends in Computing, RSCTC'98, held in Warsaw, Poland, in June 1998. The volume presents 82 revised papers carefully selected for inclusion in the proceedings; also included are five invited contributions. The volume is divided in topical sections on rough set methods, statistical inference, grammar systems and molecular computations, logic in rough sets, intelligent control, rough sets in knowledge discovery and data discovery, data mining, evolutionary computation, hybrid methods, etc..

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 : 53,5 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, Fuzzy Sets, Data Mining, and Granular Computing

Guoyin Wang
Rough Sets Fuzzy Sets Data Mining and Granular Computing Book PDF

Author : Guoyin Wang
Publisher : Springer Science & Business Media
Page : 758 pages
File Size : 47,5 Mb
Release : 2003-05-08
Category : Computers
ISBN : 9783540140405

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Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing by Guoyin Wang Pdf

This book constitutes the refereed proceedings of the 9th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2003, held in Chongqing, China in May 2003. The 39 revised full papers and 75 revised short papers presented together with 2 invited keynote papers and 11 invited plenary papers were carefully reviewed and selected from a total of 245 submissions. The papers are organized in topical sections on rough sets foundations and methods; fuzzy sets and systems; granular computing; neural networks and evolutionary computing; data mining, machine learning, and pattern recognition; logics and reasoning; multi-agent systems; and Web intelligence and intelligent systems.

Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing

Dominik Ślęzak
Rough Sets Fuzzy Sets Data Mining and Granular Computing Book PDF

Author : Dominik Ślęzak
Publisher : Springer Science & Business Media
Page : 764 pages
File Size : 53,9 Mb
Release : 2005-08-22
Category : Computers
ISBN : 9783540286530

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Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing by Dominik Ślęzak Pdf

The two volume set LNAI 3641 and LNAI 3642 constitutes the refereed proceedings of the 10th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2005, held in Regina, Canada in August/September 2005. The 119 revised full papers presented were carefully reviewed and selected from a total of 277 submissions. They comprise the two volumes together with 6 invited papers, 22 approved workshop papers, and 5 special section papers that all were carefully selected and thoroughly revised. The first volume includes 75 contributions related to rough set approximations, rough-algebraic foundations, feature selection and reduction, reasoning in information systems, rough-probabilistic approaches, rough-fuzzy hybridization, fuzzy methods in data analysis, evolutionary computing, machine learning, approximate and uncertain reasoning, probabilistic network models, spatial and temporal reasoning, non-standard logics, and granular computing. The second volume contains 77 contributions and deals with rough set software, data mining, hybrid and hierarchical methods, information retrieval, image recognition and processing, multimedia applications, medical applications, web content analysis, business and industrial applications, the approved workshop papers and the papers accepted for a special session on intelligent and sapient systems.

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 : 41,9 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.