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Rough Fuzzy Image Analysis: Foundations and Methodologies (Chapman & Hall/CRC Mathematical and Computational Imaging Sciences Series)
by Sankar K. Pal James F. PetersFuzzy sets, near sets, and rough sets are useful and important stepping stones in a variety of approaches to image analysis. These three types of sets and their various hybridizations provide powerful frameworks for image analysis. Emphasizing the utility of fuzzy, near, and rough sets in image analysis, Rough Fuzzy Image Analysis: Foundations and
Rough Sets
by Dominik Ślęzak Georg Peters Yiyu Yao Richard Weber Guoyin Wang Víctor Flores Fernando Gomide Andrzej Janusz Claudio Meneses Duoqian MiaoVolume XII of the Transactions on Rough Sets (TRS) includes articles that are part of a special issue on Rough Set Structuring of Knowledge. These articles are extended versions of papers accepted for presentation at the Rough Set and Knowledge Technology Conference (RSKT 2008) organized in Chengdu, China, in May 2008. In fact, this conference did not take place because of the earthquake that dramatically hit the Chengdu province just before the event. The editors selected some papers accepted for RSKT 2008 and invited their authors to submit extended versions to this issue. The 11 submissions received after this invitation were sent to reviewers and, ?nally, 8 papers were accepted for publication in the special issue. The editors of the special issue are particularly grateful to all the authors of submitted papers, and to the editors of Transactions on Rough Sets, JamesF. Peters and Andrzej Skowron, who provided friendly and valuable assistance in the reviewing process. Special thanks are due to the following reviewers: Mohua Banerjee, Anna Gomolinsk a, Ryszard Janicki, Julia Johnson, Maneesh Joshi, Jusheng Mi, Sonajharia Minz, Sushmita Mitra, Tuan Trung Nguyen, Georg Pe- ters, Andrzej Skowron, Genlou Sun, Marcin Szczuka, Dominik Sl, ezak, Guoyin Wang, Hai Wang, Marcin Wolski, Haiyi Zhang, Yan Zhao, William Zhu. Their laudable e?orts made possible a careful selection and revision of submitted manuscripts. "
Rough Sets
by Dominik Ślęzak Yiyu Yao Davide Ciucci Lech Polkowski Piotr Artiemjew Dun Liu Beata ZieloskoDecision trees and decision rule systems are widely used in different applications as algorithms for problem solving, as predictors, and as a way for knowledge representation. Reducts play key role in the problem of attribute (feature) selection. The aims of this book are (i) the consideration of the sets of decision trees, rules and reducts; (ii) study of relationships among these objects; (iii) design of algorithms for construction of trees, rules and reducts; and (iv) obtaining bounds on their complexity. Applications for supervised machine learning, discrete optimization, analysis of acyclic programs, fault diagnosis, and pattern recognition are considered also. This is a mixture of research monograph and lecture notes. It contains many unpublished results. However, proofs are carefully selected to be understandable for students. The results considered in this book can be useful for researchers in machine learning, data mining and knowledge discovery, especially for those who are working in rough set theory, test theory and logical analysis of data. The book can be used in the creation of courses for graduate students.
Rough Sets and Knowledge Technology: 10th International Conference, RSKT 2015, Held as Part of the International Joint Conference on Rough Sets, IJCRS 2015, Tianjin, China, November 20-23, 2015, Proceedings (Lecture Notes in Computer Science #9436)
by Davide Ciucci Guoyin Wang Sushmita Mitra Wei-Zhi WuThis book constitutes the thoroughly refereed conference proceedings of the 10th International Conference on Rough Sets and Knowledge Technology, RSKT 2015, held in Tianjin, China, in November 2015, as part of the International Joint Conference on Rough Sets, IJCRS 2015, together with the 15th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, RSFDgrC 2015. The 66 papers presented at IJCRS 2015 were carefully reviewed and selected from 97 submissions. The 38 papers included in this volume are organized in the following topical sections: rough sets: the experts speak; reducts and rules; three-way decisions; logic and algebra; clustering; rough sets and graphs; and modeling and learning. In addition the volume contains 6 contributions by new fellows of the International Rough Set Society, an invited talk and a tutorial.
Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing: 15th International Conference, RSFDGrC 2015, Tianjin, China, November 20-23, 2015, Proceedings (Lecture Notes in Computer Science #9437)
by Yiyu Yao Qinghua Hu Hong Yu Jerzy W. Grzymala-BusseThis 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.
Rough Sets: International Joint Conference, IJCRS 2017, Olsztyn, Poland, July 3–7, 2017, Proceedings, Part I (Lecture Notes in Computer Science #10313)
by Dominik Ślęzak Yiyu Yao Davide Ciucci Lech Polkowski Piotr Artiemjew Dun Liu Beata ZieloskoDecision trees and decision rule systems are widely used in different applications as algorithms for problem solving, as predictors, and as a way for knowledge representation. Reducts play key role in the problem of attribute (feature) selection. The aims of this book are (i) the consideration of the sets of decision trees, rules and reducts; (ii) study of relationships among these objects; (iii) design of algorithms for construction of trees, rules and reducts; and (iv) obtaining bounds on their complexity. Applications for supervised machine learning, discrete optimization, analysis of acyclic programs, fault diagnosis, and pattern recognition are considered also. This is a mixture of research monograph and lecture notes. It contains many unpublished results. However, proofs are carefully selected to be understandable for students. The results considered in this book can be useful for researchers in machine learning, data mining and knowledge discovery, especially for those who are working in rough set theory, test theory and logical analysis of data. The book can be used in the creation of courses for graduate students.
Rough Sets: International Joint Conference, IJCRS 2018, Quy Nhon, Vietnam, August 20-24, 2018, Proceedings (Lecture Notes in Computer Science #11103)
by Tianrui Li Hung Son Nguyen Quang-Thuy Ha Małgorzata Przybyła-KasperekThis LNAI 1103 constitutes the proceedings of the International Joint Conference on Rough Sets, IJCRS 2018, held in Quy Nhon, Vietnam, in August 2018.The 40 full papers presented together with 5 short papers were carefully reviewed and selected from 61 submissions. The IJCRS conferences aim at bringing together experts from universities and research centers as well as the industry representing fields of research in which theoretical and applicational aspects of rough set theory already find or may potentially find usage.
Rough Sets: International Joint Conference, IJCRS 2019, Debrecen, Hungary, June 17–21, 2019, Proceedings (Lecture Notes in Computer Science #11499)
by Davide Ciucci Guoyin Wang Ivo Düntsch Tamás Mihálydeák Fan Min Mohua Banerjee Zbigniew SurajThis LNAI 11499 constitutes the proceedings of the International Joint Conference on Rough Sets, IJCRS 2019, held in Debrecen, Hungary, in June 2019.The 41 full papers were carefully reviewed and selected from 71 submissions. The IJCRS conferences aim at bringing together experts from universities and research centers as well as the industry representing fields of research in which theoretical and applicational aspects of rough set theory already find or may potentially find usage. The papers are grouped in topical sections on core rough set models and methods; related methods and hybridization; areas of application.
Rough Sets: International Joint Conference, IJCRS 2020, Havana, Cuba, June 29 – July 3, 2020, Proceedings (Lecture Notes in Computer Science #12179)
by Davide Ciucci Rafael Falcon Duoqian Miao Rafael Bello Michinori Nakata Alejandro RoseteThe 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.
Rough Sets: International Joint Conference, IJCRS 2021, Bratislava, Slovakia, September 19–24, 2021, Proceedings (Lecture Notes in Computer Science #12872)
by Davide Ciucci Chris Cornelis Sheela RamannaThe volume LNAI 12872 constitutes the proceedings of the International Joint Conference on Rough Sets, IJCRS 2021, Bratislava, Slovak Republic, in September 2021. The conference was held as a hybrid event due to the COVID-19 pandemic. The 13 full paper and 7 short papers presented were carefully reviewed and selected from 26 submissions, along with 5 invited papers. The papers are grouped in the following topical sections: core rough set models and methods, related methods and hybridization, and areas of applications.
Rough Sets: International Joint Conference, IJCRS 2022, Suzhou, China, November 11–14, 2022, Proceedings (Lecture Notes in Computer Science #13633)
by Hamido Fujita Duoqian Miao Xiaodong Yue JingTao Yao Jerzy Grzymala-Busse Fanzhang LiThis 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.
Rough Sets: International Joint Conference, IJCRS 2023, Krakow, Poland, October 5–8, 2023, Proceedings (Lecture Notes in Computer Science #14481)
by Dominik Ślęzak JingTao Yao Jarosław Wąs Andrea Campagner Oliver Urs Lenz Shuyin XiaThis book constitutes the refereed proceedings of the International Joint Conference on Rough Sets, IJCRS 2023, held in Krakow, Poland, during October 5–8, 2023.The 43 full papers included in this book were carefully reviewed and selected from 83 submissions. They were organized in topical sections as follows: Rough Set Models, Foundations, Three-way Decisions, Granular Models, Distances and Similarities, Hybrid Approaches, Applications, Cybersecurity and IoT.
Rough Sets: International Joint Conference, IJCRS 2024, Halifax, NS, Canada, May 17–20, 2024, Proceedings, Part I (Lecture Notes in Computer Science #14839)
by Pawan Lingras Dominik Ślęzak Yan Zhang Chris Cornelis JingTao Yao Mengjun HuThis two-volume set LNAI 14839-14840 constitutes the refereed proceedings of the International Joint Conference on Rough Sets, IJCRS 2024, held in Halifax, NS, Canada, during May 17–20, 2024. The 43 full papers included in this book were carefully reviewed and selected from 56 submissions. They are organized in topical sections as follows: Part I: Rough Set Models and Foundations; Rule Induction and Machine Learning; Granular Computing; and Rough Set Applications. Part II: Three-Way Decision and Rough Sets; Three-Way Decision in Data Analytics; Three-Way Decision in Broad Senses; Rental Market Data Mining; and Applications of Deep Learning and Soft Computing.
Rough Sets: International Joint Conference, IJCRS 2024, Halifax, NS, Canada, May 17–20, 2024, Proceedings, Part II (Lecture Notes in Computer Science #14840)
by Pawan Lingras Dominik Ślęzak Yan Zhang Chris Cornelis JingTao Yao Mengjun HuThis two-volume set LNAI 14839-14840 constitutes the refereed proceedings of the International Joint Conference on Rough Sets, IJCRS 2024, held in Halifax, NS, Canada, during May 17–20, 2024. The 43 full papers included in this book were carefully reviewed and selected from 56 submissions. They are organized in topical sections as follows: Part I: Rough Set Models and Foundations; Rule Induction and Machine Learning; Granular Computing; and Rough Set Applications. part II: Three-Way Decision and Rough Sets; Three-Way Decision in Data Analytics; Three-Way Decision in Broad Senses; Rental Market Data Mining; and Applications of Deep Learning and Soft Computing.
Rough Sets: International Joint Conference, IJCRS 2025, Chongqing, China, May 11–13, 2025, Proceedings, Part I (Lecture Notes in Computer Science #15708)
by Richard Jensen Xinbo Gao Guoyin Wang Chris Cornelis JingTao Yao Shuyin Xia Qinghua Zhang Christopher HenryThis 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.
Rough Sets: International Joint Conference, IJCRS 2025, Chongqing, China, May 11–13, 2025, Proceedings, Part II (Lecture Notes in Computer Science #15709)
by Richard Jensen Xinbo Gao Guoyin Wang Chris Cornelis JingTao Yao Shuyin Xia Qinghua Zhang Christopher HenryThis 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.
Rough Sets: International Joint Conference, IJCRS 2025, Chongqing, China, May 11–13, 2025, Proceedings, Part III (Lecture Notes in Computer Science #15710)
by Richard Jensen Xinbo Gao Guoyin Wang Chris Cornelis JingTao Yao Shuyin Xia Qinghua Zhang Christopher HenryThis 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.
Rough Sets: Selected Methods and Applications in Management and Engineering
by Pawan Lingras Dominik Ślęzak Georg Peters Yiyu YaoRough Set Theory, introduced by Pawlak in the early 1980s, has become an important part of soft computing within the last 25 years. However, much of the focus has been on the theoretical understanding of Rough Sets, with a survey of Rough Sets and their applications within business and industry much desired. Rough Sets: Selected Methods and Applications in Management and Engineering provides context to Rough Set theory, with each chapter exploring a real-world application of Rough Sets. Rough Sets is relevant to managers striving to improve their businesses, industry researchers looking to improve the efficiency of their solutions, and university researchers wanting to apply Rough Sets to real-world problems.
Rough Set–Based Classification Systems (Studies in Computational Intelligence #802)
by Robert K. NowickiThis book demonstrates an original concept for implementing the rough set theory in the construction of decision-making systems. It addresses three types of decisions, including those in which the information or input data is insufficient. Though decision-making and classification in cases with missing or inaccurate data is a common task, classical decision-making systems are not naturally adapted to it. One solution is to apply the rough set theory proposed by Prof. Pawlak.The proposed classifiers are applied and tested in two configurations: The first is an iterative mode in which a single classification system requests completion of the input data until an unequivocal decision (classification) is obtained. It allows us to start classification processes using very limited input data and supplementing it only as needed, which limits the cost of obtaining data. The second configuration is an ensemble mode in which several rough set-based classification systems achieve the unequivocal decision collectively, even though the systems cannot separately deliver such results.
Roundabouts as Safe and Modern Solutions in Transport Networks and Systems: 15th Scie15th Scientific And Technical Conference Transport Systems. Theory And Practice 2018 , Katowice, Poland, September 17-19, 2018, Selected Papersntific And Technical Conference Transport Systems. Theory And Practice 2018 Selected Papers (Lecture Notes in Networks and Systems #52)
by Elżbieta Macioszek Grzegorz Sierpiński Rahmi AkçelikThis book offers a collection of guidelines that will be particularly useful to those making decisions concerning roundabouts as safe and modern solutions in transport networks and systems. The decision-making support systems described here will interest those who face the challenge of finding solutions to problems concerning modern transport systems on a daily basis. Consequently, the book is chiefly intended for local authorities involved in planning and preparing development strategies for specific transport-related issues (in both urban and regional contexts), as well as for representatives of business and industry who are directly engaged in the implementation of traffic engineering solutions. The guidelines provided in the respective chapters help to address the given problem soundly, and to simplify the selection of an appropriate strategy. The topics covered include traffic conditions and the performance of single-lane, two-lane and turbo roundabouts, road traffic safety analysis, analysis of road traffic safety improvements, surrogate safety measures at roundabouts, analysis of pedestrian behavior at pedestrian crossings with public transport vehicles, methods for assessing vehicle motion trajectory at single-lane roundabouts using visual techniques, making compact two-lane roundabouts effective for vulnerable road users, concepts for wireless electric vehicle charging near roundabouts, work zones, and temporary traffic control at roundabouts. Since the book also considers new approaches to theoretical models (including modeling roundabout capacity, models of critical gaps and follow-up headways for turbo roundabouts, and estimating roundabout delay while taking into account pedestrian impact), it will also appeal to researchers and scientists studying these problems. The book gathers selected papers presented at the 15th Scientific and Technical Conference “Transport Systems. Theory and Practice”, organized by the Department of Transport Systems and Traffic Engineering, Silesian University of Technology in Katowice, Poland on September 17–19, 2018.
Routines of Substitution: John Von Neumann's Work On Software Development, 1945-1948 (Springerbriefs In History Of Computing Ser.)
by Mark PriestleyThis work is a historical and philosophical study of the programming work carried out by John von Neumann in the period 1945-8. At the heart of the book is an examination of a manuscript featuring the earliest known surviving example of von Neumann’s coding, a routine written in 1945 to ‘mesh’ two sequences of data and intended to be part of a larger program implementing the algorithm now known as mergesort. The text of the manuscript itself, along with a preliminary document describing the code he used to write this program, are reproduced as appendices. The program is approached in three chapters describing the historical background to von Neumann’s work, the significance of the sorting application itself, and the development of the EDVAC, the machine for which the program was written. The subsequent chapters widen the focus again, discussing the subsequent evolution of the program and the crucial topic of subroutines, before concluding by situating von Neumann’s work in a number of wider contexts. The book also offers a unifying philosophical interpretation of von Neumann’s approach to coding.
Routing Algorithms in Networks-on-Chip
by Maurizio Palesi Masoud DaneshtalabThis book provides a single-source reference to routing algorithms for Networks-on-Chip (NoCs), as well as in-depth discussions of advanced solutions applied to current and next generation, many core NoC-based Systems-on-Chip (SoCs). After a basic introduction to the NoC design paradigm and architectures, routing algorithms for NoC architectures are presented and discussed at all abstraction levels, from the algorithmic level to actual implementation Coverage emphasizes the role played by the routing algorithm and is organized around key problems affecting current and next generation, many-core SoCs. A selection of routing algorithms is included, specifically designed to address key issues faced by designers in the ultra-deep sub-micron (UDSM) era, including performance improvement, power, energy, and thermal issues, fault tolerance and reliability.
Routing and Switching Essentials Lab Manual
by Cisco Networking AcademyRouting and Switching Essentials Lab Manual contains all the labs and class activities from the Cisco Networking Academy course. The labs are intended to be used within the Cisco Networking Academy program of study.
Routing and Wavelength Assignment for WDM-based Optical Networks
by Eiji Oki Partha Pratim Sahu Bijoy Chand Chatterjee Nityananda SarmaThis book presents an in-depth treatment of routing and wavelength assignment for optical networks, and focuses specifically on quality-of-service and fault resiliency issues. It reports on novel approaches for the development of routing and wavelength assignment schemes for fault-resilient optical networks, which improve their performance in terms of signal quality, call blocking, congestion level and reliability, without a substantial increase in network setup cost. The book first presents a solution for reducing the effect of the wavelength continuity constraint during the routing and wavelength assignment phase. Further, it reports on an approach allowing the incorporation of a traffic grooming mechanism with routing and wavelength assignment to enhance the effective channel utilization of a given capacity optical network using fewer electrical-optical-electrical conversions. As a third step, it addresses a quality of service provision scheme for wavelength-division multiplexing (WDM)-based optical networks. Lastly, the book describes the inclusion of a tree-based fault resilience scheme in priority-based dispersion-reduced wavelength assignment schemes for the purpose of improving network reliability, while maintaining a better utilization of network resources. Mainly intended for graduate students and researchers, the book provides them with extensive information on both fundamental and advanced technologies for routing and wavelength assignment in optical networks. The topics covered will also be of interest to network planners and designers.
Routing for Wireless Multi-Hop Networks
by Hossam S. Hassanein Sherin Abdel Hamid Glen TakaharaThe focus of this brief is to identify what unifies and what distinguishes the routing functions in four wireless multi-hop network paradigms. The brief introduces a generic routing model that can be used as a foundation of wireless multi-hop routing protocol analysis and design. It demonstrates that such model can be adopted by any wireless multi-hop routing protocol. Also presented is a glimpse of the ideal wireless multi-hop routing protocol along with several open issues.