Chris Cornelis

JingTao Yao

Guoyin Wang

Christopher Henry

Xinbo Gao

Richard Jensen

Qinghua Zhang

Shuyin Xia

This three-volume set LNAI 15708-15709-15110 constitutes the proceedings of the International Joint Conference on Rough Sets, IJCRS 2025, held in Chongqing, China, during May 11–13, 2025. The 90 full papers included in these volumes were carefully reviewed and selected from 187 submissions. They are organized in topical sections as follows: Part I: Rough Set Models and Foundations; Fuzzy Rough Sets and Rough Fuzzy Sets; and Granular Computing. Part II: Rough Set Applications; Feature Selection and Knowledge Discovery; and Cognitive Computing. Part III: Three-way Data Analytics and Decision; Medicine and Health Data Mining; and Applications of Deep Learning and Soft Computing.

International Joint Conference, IJCRS 2025, Chongqing, China, May 11–13, 2025, Proceedings, Part II

Rough Sets

Nick Cercone

Dominik Slezak

Pawan Lingras

Marcin Szczuka

Wei-Zhi Wu

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

Second International Conference, RSKT 2007, Toronto, Canada, May 14-16, 2007, Proceedings

Rough Sets and Knowledge Technology

Hamido Fujita

Duoqian Miao

Xiaodong Yue

Jerzy Grzymala-Busse

Fanzhang Li

This book constitutes the proceedings of the International Joint Conference on Rough Sets, IJCRS 2022, held in Suzhou, China, in November 2022. The 28 full papers included in this book were carefully reviewed and selected from 42 submissions. They were organized in topical sections as follows: Invited papers, IRSS President Forum; rough set theory and applications; granular computing and applications; classification and deep learning; conceptual knowledge discovery and machine learning based on three-way decisions and granular computing; uncertainty in three-way decisions; granular computing, and data science.

International Joint Conference, IJCRS 2022, Suzhou, China, November 11–14, 2022, Proceedings

The emerging interdisciplinary study of Web-based support systems focuses on the theories, technologies and tools for the design and implementation of Web-based systems that support various human activities. This book presents the state-of-the-art in Web-based support systems (WSS). The research on WSS is multidisciplinary and focuses on supporting various human activities in different domains/fields based on computer science, information technology, and Web technology. The main goal is to take the opportunities of the Web, to meet the challenges of the Web, to extend the human physical limitations of information processing, and to keep up with the advance of technology advances. This book discusses the four types of existing research: WSS for specific domains, Web-based applications, techniques related to WSS and design, and development of WSS. This comprehensive, wide-ranging text will provide an invaluable insight into the state of the art in WSS for researchers and graduate students.

Web-based Support Systems

James F. Peters

Wojciech Ziarko

Xiaohua Hu

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.

10th International Conference, RSFDGrC 2005, Regina, Canada, August 31 - September 2, 2005, Proceedings

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

Sheela Ramanna

Zbigniew Suraj

This book constitutes the refereed proceedings of the 6th International Conference on Rough Sets and Knowledge Technology, RSKT 2011, held in Banff, Canada, in September 2011. The 89 revised full papers presented together with 3 keynote lectures and 1 invited tutorial session were carefully reviewed and selected from 229 submissions. The papers are organized in topical sections on attribute reduction and feature selection, generalized rough set models, machine learning with rough and hybrid techniques, knowledge technology and intelligent systems and applications.

6th International Conference, RSKT 2011, Banff, Canada, October 9-12, 2011, Proceedings

Rough Set and Knowledge Technology

JingTao Yao

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