New Directions In Rough Sets Data Mining And Granular Soft Computing

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New Directions in Rough Sets, Data Mining, and Granular-Soft Computing

Author : Ning Zhong,Setsuo Ohsuga
Publisher : Springer
Page : 566 pages
File Size : 49,5 Mb
Release : 2004-06-22
Category : Mathematics
ISBN : 9783540480617

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New Directions in Rough Sets, Data Mining, and Granular-Soft Computing by Ning Zhong,Setsuo Ohsuga Pdf

This book constitutes the refereed proceedings of the 7th International Workshop on Rough Sets, Fuzzy Sets, Data Mining, and Granular-Soft Computing, RSFDGrC'99, held in Yamaguchi, Japan, in November 1999. The 45 revised regular papers and 15 revised short papers presented together with four invited contributions were carefully reviewed and selected from 89 submissions. The book is divided into sections on rough computing: foundations and applications, rough set theory and applications, fuzzy set theory and applications, nonclassical logic and approximate reasoning, information granulation and granular computing, data mining and knowledge discovery, machine learning, and intelligent agents and systems.

New Directions in Rough Sets, Data Mining, and Granular-Soft Computing

Author : Ning Zhong,Setsuo Ohsuga
Publisher : Springer
Page : 566 pages
File Size : 47,5 Mb
Release : 1999-10-20
Category : Mathematics
ISBN : 3540666451

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New Directions in Rough Sets, Data Mining, and Granular-Soft Computing by Ning Zhong,Setsuo Ohsuga Pdf

This book constitutes the refereed proceedings of the 7th International Workshop on Rough Sets, Fuzzy Sets, Data Mining, and Granular-Soft Computing, RSFDGrC'99, held in Yamaguchi, Japan, in November 1999. The 45 revised regular papers and 15 revised short papers presented together with four invited contributions were carefully reviewed and selected from 89 submissions. The book is divided into sections on rough computing: foundations and applications, rough set theory and applications, fuzzy set theory and applications, nonclassical logic and approximate reasoning, information granulation and granular computing, data mining and knowledge discovery, machine learning, and intelligent agents and systems.

Rough Set Theory and Granular Computing

Author : Masahiro Inuiguchi,Shusaku Tsumoto,Shoji Hirano
Publisher : Springer
Page : 303 pages
File Size : 49,5 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.

Data Mining, Rough Sets and Granular Computing

Author : Tsau Young Lin,Yiyu Y. Yao,Lotfi A. Zadeh
Publisher : Physica
Page : 538 pages
File Size : 55,9 Mb
Release : 2013-11-11
Category : Computers
ISBN : 9783790817911

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Data Mining, Rough Sets and Granular Computing by Tsau Young Lin,Yiyu Y. Yao,Lotfi A. Zadeh Pdf

During the past few years, data mining has grown rapidly in visibility and importance within information processing and decision analysis. This is par ticularly true in the realm of e-commerce, where data mining is moving from a "nice-to-have" to a "must-have" status. In a different though related context, a new computing methodology called granular computing is emerging as a powerful tool for the conception, analysis and design of information/intelligent systems. In essence, data mining deals with summarization of information which is resident in large data sets, while granular computing plays a key role in the summarization process by draw ing together points (objects) which are related through similarity, proximity or functionality. In this perspective, granular computing has a position of centrality in data mining. Another methodology which has high relevance to data mining and plays a central role in this volume is that of rough set theory. Basically, rough set theory may be viewed as a branch of granular computing. However, its applications to data mining have predated that of granular computing.

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

Author : Davide Ciucci,Masahiro Inuiguchi,Yiyu Yao,Dominik Slezak,Guoyin Wang
Publisher : Springer
Page : 398 pages
File Size : 55,9 Mb
Release : 2013-10-07
Category : Computers
ISBN : 9783642412189

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Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing by Davide Ciucci,Masahiro Inuiguchi,Yiyu Yao,Dominik Slezak,Guoyin Wang Pdf

This book constitutes the thoroughly refereed conference proceedings of the 14th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, RSFDGrC 2013, held in Halifax, Canada in October 2013 as one of the co-located conference of the 2013 Joint Rough Set Symposium, JRS 2013. The 69 papers (including 44 regular and 25 short papers) included in the JRS proceedings (LNCS 8170 and LNCS 8171) were carefully reviewed and selected from 106 submissions. The papers in this volume cover topics such as inconsistency, incompleteness, non-determinism; fuzzy and rough hybridization; granular computing and covering-based rough sets; soft clustering; image and medical data analysis.

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

Author : Guoyin Wang
Publisher : Springer Science & Business Media
Page : 758 pages
File Size : 49,8 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

Author : Dominik Slezak,Marcin Szczuka,Ivo Duentsch,Yiyu Yao
Publisher : Springer
Page : 748 pages
File Size : 55,8 Mb
Release : 2005-09-19
Category : Computers
ISBN : 9783540318255

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Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing by Dominik Slezak,Marcin Szczuka,Ivo Duentsch,Yiyu Yao Pdf

This volume contains the papers selected for presentation at the 10th Int- national Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2005, organized at the University of Regina, August 31st–September 3rd, 2005. This conference followed in the footsteps of inter- tional events devoted to the subject of rough sets, held so far in Canada, China, Japan,Poland,Sweden, and the USA. RSFDGrC achievedthe status of biennial international conference, starting from 2003 in Chongqing, China. The theory of rough sets, proposed by Zdzis law Pawlak in 1982, is a model of approximate reasoning. The main idea is based on indiscernibility relations that describe indistinguishability of objects. Concepts are represented by - proximations. In applications, rough set methodology focuses on approximate representation of knowledge derivable from data. It leads to signi?cant results in many areas such as ?nance, industry, multimedia, and medicine. The RSFDGrC conferences put an emphasis on connections between rough sets and fuzzy sets, granularcomputing, and knowledge discoveryand data m- ing, both at the level of theoretical foundations and real-life applications. In the case of this event, additional e?ort was made to establish a linkage towards a broader range of applications. We achieved it by including in the conference program the workshops on bioinformatics, security engineering, and embedded systems, as well as tutorials and sessions related to other application areas.

Rough Sets, Fuzzy Sets, Data Mining and Granular Computing

Author : Aijun An,Jerzy Stefanowski,Sheela Ramanna,Cory Butz,Witold Pedrycz
Publisher : Springer
Page : 588 pages
File Size : 52,6 Mb
Release : 2007-08-22
Category : Computers
ISBN : 9783540725305

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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.

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

Author : Guoyin Wang,Qing Liu,Yiyu Yao
Publisher : Unknown
Page : 764 pages
File Size : 40,6 Mb
Release : 2014-01-15
Category : Electronic
ISBN : 3662209500

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Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing by Guoyin Wang,Qing Liu,Yiyu Yao Pdf

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

Author : Yiyu Yao,Qinghua Hu,Hong Yu,Jerzy W. Grzymala-Busse
Publisher : Springer
Page : 505 pages
File Size : 50,6 Mb
Release : 2015-11-21
Category : Computers
ISBN : 9783319257839

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Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing by Yiyu Yao,Qinghua Hu,Hong Yu,Jerzy W. Grzymala-Busse Pdf

This book constitutes the refereed conference proceedings of the 15th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, RSFDGrC 2015, held in Tianjin, China in November 2015 as one of the co-located conference of the 2015 Joint Rough Set Symposium, JRS 2015. The 44 papers were carefully reviewed and selected from 97 submissions. The papers in this volume cover topics such as rough sets: the experts speak; generalized rough sets; rough sets and graphs; rough and fuzzy hybridization; granular computing; data mining and machine learning; three-way decisions; IJCRS 2015 data challenge.

Recent Developments and the New Direction in Soft-Computing Foundations and Applications

Author : Lotfi A. Zadeh,Ronald R. Yager,Shahnaz N. Shahbazova,Marek Z. Reformat,Vladik Kreinovich
Publisher : Springer
Page : 649 pages
File Size : 53,8 Mb
Release : 2018-05-28
Category : Technology & Engineering
ISBN : 9783319754086

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Recent Developments and the New Direction in Soft-Computing Foundations and Applications by Lotfi A. Zadeh,Ronald R. Yager,Shahnaz N. Shahbazova,Marek Z. Reformat,Vladik Kreinovich Pdf

This book is an authoritative collection of contributions in the field of soft-computing. Based on selected works presented at the 6th World Conference on Soft Computing, held on May 22-25, 2016, in Berkeley, USA, it describes new theoretical advances, as well as cutting-edge methods and applications. Theories cover a wealth of topics, such as fuzzy logic, cognitive modeling, Bayesian and probabilistic methods, multi-criteria decision making, utility theory, approximate reasoning, human-centric computing and many others. Applications concerns a number of fields, such as internet and semantic web, social networks and trust, control and robotics, computer vision, medicine and bioinformatics, as well as finance, security and e-Commerce, among others. Dedicated to the 50th Anniversary of Fuzzy Logic and to the 95th Birthday Anniversary of Lotfi A. Zadeh, the book not only offers a timely view on the field, yet it also discusses thought-provoking developments and challenges, thus fostering new research directions in the diverse areas of soft computing.

Granular, Fuzzy, and Soft Computing

Author : Tsau-Young Lin,Churn-Jung Liau,Janusz Kacprzyk
Publisher : Springer Nature
Page : 936 pages
File Size : 46,9 Mb
Release : 2023-03-29
Category : Mathematics
ISBN : 9781071626283

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Granular, Fuzzy, and Soft Computing by Tsau-Young Lin,Churn-Jung Liau,Janusz Kacprzyk Pdf

The first edition of the Encyclopedia of Complexity and Systems Science (ECSS, 2009) presented a comprehensive overview of granular computing (GrC) broadly divided into several categories: Granular computing from rough set theory, Granular Computing in Database Theory, Granular Computing in Social Networks, Granular Computing and Fuzzy Set Theory, Grid/Cloud Computing, as well as general issues in granular computing. In 2011, the formal theory of GrC was established, providing an adequate infrastructure to support revolutionary new approaches to computer/data science, including the challenges presented by so-called big data. For this volume of ECSS, Second Edition, many entries have been updated to capture these new developments, together with new chapters on such topics as data clustering, outliers in data mining, qualitative fuzzy sets, and information flow analysis for security applications. Granulations can be seen as a natural and ancient methodology deeply rooted in the human mind. Many daily "things" are routinely granulated into sub "things": The topography of earth is granulated into hills, plateaus, etc., space and time are granulated into infinitesimal granules, and a circle is granulated into polygons of infinitesimal sides. Such granules led to the invention of calculus, topology and non-standard analysis. Formalization of general granulation was difficult but, as shown in this volume, great progress has been made in combing discrete and continuous mathematics under one roof for a broad range of applications in data science.

Rough Sets, Fuzzy Sets, Data Mining and Granular Computing

Author : Sergei O. Kuznetsov,Dominik Ślęzak,Daryl H. Hepting,Boris G. Mirkin
Publisher : Springer Science & Business Media
Page : 382 pages
File Size : 41,8 Mb
Release : 2011-06-14
Category : Computers
ISBN : 9783642218804

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Rough Sets, Fuzzy Sets, Data Mining and Granular Computing by Sergei O. Kuznetsov,Dominik Ślęzak,Daryl H. Hepting,Boris G. Mirkin Pdf

This book constitutes the refereed proceedings of the 13th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2011, held in Moscow, Russia in June 2011. The 49 revised full papers presented together with 5 invited and 2 tutorial papers were carefully reviewed and selected from a total of 83 submissions. The papers are organized in topical sections on rough sets and approximations, coverings and granules, fuzzy set models, fuzzy set applications, compound values, feature seletion and reduction, clusters and concepts, rules and trees, image processing, and interactions and visualization.

Rough – Granular Computing in Knowledge Discovery and Data Mining

Author : J. Stepaniuk
Publisher : Springer
Page : 162 pages
File Size : 43,9 Mb
Release : 2009-01-29
Category : Computers
ISBN : 9783540708018

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Rough – Granular Computing in Knowledge Discovery and Data Mining by J. Stepaniuk Pdf

This book covers methods based on a combination of granular computing, rough sets, and knowledge discovery in data mining (KDD). The discussion of KDD foundations based on the rough set approach and granular computing feature illustrative applications.