Granular Computing At The Junction Of Rough Sets And Fuzzy Sets

Author : Rafael Bello,Rafael Falcón,Witold Pedrycz
Publisher : Springer Science & Business Media
Page : 339 pages
File Size : 54,8 Mb
Release : 2008-02-20
Category : Computers
ISBN : 9783540769729

Get Book

Granular Computing: At the Junction of Rough Sets and Fuzzy Sets by Rafael Bello,Rafael Falcón,Witold Pedrycz Pdf

Since their very inception, both fuzzy and rough set theories have earned a sound, well-deserved reputation owing to their intrinsic capabilities to model uncertainty coming from the real world. The increasing amount of investigations on both subjects reported every year in the literature vouches for the dynamics of the area and its rapid advancements. In the last few years the widespread utilization of fuzzy and rough sets as granulation sources has contributed to lay both methodologies in a privileged position within Granular Computing, thus giving rise to a sort a modeling which is far closer to the way human beings perceive their environment – via granulated knowledge. This volume is a compilation of the best papers presented at the First International Symposium on Fuzzy and Rough Sets (ISFUROS 2006) held in Santa Clara, Cuba. You will therefore find valuable contributions both in the theoretical field as in several application domains such as intelligent control, data analysis, decision making and machine learning, just to name a few. Together, they will catch you up with the huge potential of the aforementioned methodologies.

Author : Yiyu Yao,Qinghua Hu,Hong Yu,Jerzy W. Grzymala-Busse
Publisher : Springer
Page : 505 pages
File Size : 54,5 Mb
Release : 2015-11-21
Category : Computers
ISBN : 9783319257839

Get Book

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.

Author : Davide Ciucci,Masahiro Inuiguchi,Yiyu Yao,Dominik Slezak,Guoyin Wang
Publisher : Springer
Page : 412 pages
File Size : 44,6 Mb
Release : 2013-10-07
Category : Computers
ISBN : 9783642412189

Get Book

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.

Author : Aijun An,Jerzy Stefanowski,Sheela Ramanna,Cory Butz,Witold Pedrycz
Publisher : Springer
Page : 588 pages
File Size : 41,9 Mb
Release : 2007-08-22
Category : Computers
ISBN : 9783540725305

Get Book

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.

Author : Sergei O. Kuznetsov,Dominik Ślęzak,Daryl H. Hepting,Boris G. Mirkin
Publisher : Springer
Page : 370 pages
File Size : 51,8 Mb
Release : 2011-06-14
Category : Computers
ISBN : 9783642218811

Get Book

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 selection and reduction, clusters and concepts, rules and trees, image processing, and interactions and visualization.

Author : Guoyin Wang,Qing Liu,Yiyu Yao
Publisher : Unknown
Page : 764 pages
File Size : 53,6 Mb
Release : 2014-01-15
Category : Electronic
ISBN : 3662209500

Get Book

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

Author : Guoyin Wang
Publisher : Springer Science & Business Media
Page : 758 pages
File Size : 44,7 Mb
Release : 2003-05-08
Category : Computers
ISBN : 9783540140405

Get Book

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.

Author : Dominik Slezak,Marcin Szczuka,Ivo Duentsch,Yiyu Yao
Publisher : Springer
Page : 748 pages
File Size : 52,7 Mb
Release : 2005-09-19
Category : Computers
ISBN : 9783540318255

Get Book

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.

Author : Dominik Slezak,JingTao Yao,James F. Peters,Wojciech Ziarko,Xiaohua Hu
Publisher : Springer
Page : 748 pages
File Size : 42,9 Mb
Release : 2005-09-14
Category : Computers
ISBN : 9783540318248

Get Book

Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing by Dominik Slezak,JingTao Yao,James F. Peters,Wojciech Ziarko,Xiaohua Hu 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.

Author : Tsau Young Lin,Yiyu Y. Yao,Lotfi A. Zadeh
Publisher : Physica
Page : 538 pages
File Size : 45,8 Mb
Release : 2013-11-11
Category : Computers
ISBN : 9783790817911

Get Book

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.

Author : Tsau-Young Lin,Churn-Jung Liau,Janusz Kacprzyk
Publisher : Springer Nature
Page : 936 pages
File Size : 42,6 Mb
Release : 2023-03-29
Category : Mathematics
ISBN : 9781071626283

Get Book

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.

Author : Andrzej Bargiela,Witold Pedrycz
Publisher : Springer Science & Business Media
Page : 464 pages
File Size : 51,6 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461510338

Get Book

Granular Computing by Andrzej Bargiela,Witold Pedrycz Pdf

This book is about Granular Computing (GC) - an emerging conceptual and of information processing. As the name suggests, GC concerns computing paradigm processing of complex information entities - information granules. In essence, information granules arise in the process of abstraction of data and derivation of knowledge from information. Information granules are everywhere. We commonly use granules of time (seconds, months, years). We granulate images; millions of pixels manipulated individually by computers appear to us as granules representing physical objects. In natural language, we operate on the basis of word-granules that become crucial entities used to realize interaction and communication between humans. Intuitively, we sense that information granules are at the heart of all our perceptual activities. In the past, several formal frameworks and tools, geared for processing specific information granules, have been proposed. Interval analysis, rough sets, fuzzy sets have all played important role in knowledge representation and processing. Subsequently, information granulation and information granules arose in numerous application domains. Well-known ideas of rule-based systems dwell inherently on information granules. Qualitative modeling, being one of the leading threads of AI, operates on a level of information granules. Multi-tier architectures and hierarchical systems (such as those encountered in control engineering), planning and scheduling systems all exploit information granularity. We also utilize information granules when it comes to functionality granulation, reusability of information and efficient ways of developing underlying information infrastructures.

Author : J. Stepaniuk
Publisher : Springer
Page : 162 pages
File Size : 53,7 Mb
Release : 2009-01-29
Category : Computers
ISBN : 9783540708018

Get Book

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.

Author : Witold Pedrycz
Publisher : Physica
Page : 398 pages
File Size : 52,5 Mb
Release : 2013-06-05
Category : Computers
ISBN : 9783790818239

Get Book

Granular Computing by Witold Pedrycz Pdf

Granular Computing is concerned with constructing and processing carried out at the level of information granules. Using information granules, we comprehend the world and interact with it, no matter which intelligent endeavor this may involve. The landscape of granular computing is immensely rich and involves set theory (interval mathematics), fuzzy sets, rough sets, random sets linked together in a highly synergetic environment. This volume is a first comprehensive treatment of this emerging paradigm and embraces its fundamentals, underlying methodological framework, and a sound algorithmic environment. The panoply of applications covered includes system identification, telecommunications, linguistics and music processing. Written by experts in the field, this volume will appeal to all developing intelligent systems, either working at the methodological level or interested in detailed system realization.

Author : Hiroshi Sakai,Mihir Chakraborty,Aboul-Ella Hassanien,Dominik Slezak,William Zhu
Publisher : Springer Science & Business Media
Page : 539 pages
File Size : 54,5 Mb
Release : 2009-11-30
Category : Computers
ISBN : 9783642106453

Get Book

Rough Sets, Fuzzy Sets, Data Mining and Granular Computing by Hiroshi Sakai,Mihir Chakraborty,Aboul-Ella Hassanien,Dominik Slezak,William Zhu Pdf

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.