Thriving Rough Sets

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Thriving Rough Sets

Author : Guoyin Wang
Publisher : Springer
ISBN 13 : 3319549669
Total Pages : 439 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Thriving Rough Sets by : Guoyin Wang

Download or read book Thriving Rough Sets written by Guoyin Wang and published by Springer. This book was released on 2017-04-28 with total page 439 pages. Available in PDF, EPUB and Kindle. Book excerpt: This special book is dedicated to the memory of Professor Zdzisław Pawlak, the father of rough set theory, in order to commemorate both the 10th anniversary of his passing and 35 years of rough set theory. The book consists of 20 chapters distributed into four sections, which focus in turn on a historical review of Professor Zdzisław Pawlak and rough set theory; a review of the theory of rough sets; the state of the art of rough set theory; and major developments in rough set based data mining approaches. Apart from Professor Pawlak’s contributions to rough set theory, other areas he was interested in are also included. Moreover, recent theoretical studies and advances in applications are also presented. The book will offer a useful guide for researchers in Knowledge Engineering and Data Mining by suggesting new approaches to solving the problems they encounter.

Rough Sets

Author : Rafael Bello
Publisher : Springer Nature
ISBN 13 : 3030527050
Total Pages : 517 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Rough Sets by : Rafael Bello

Download or read book Rough Sets written by Rafael Bello and published by Springer Nature. This book was released on 2020-07-07 with total page 517 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Rough Sets

Author : Lech Polkowski
Publisher : Springer
ISBN 13 : 3319608401
Total Pages : 581 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Rough Sets by : Lech Polkowski

Download or read book Rough Sets written by Lech Polkowski and published by Springer. This book was released on 2017-06-22 with total page 581 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set LNAI 10313 and LNAI 10314 constitutes the proceedings of the International Joint Conference on Rough Sets, IJCRS 2017, held in Olsztyn, Poland, in July 2017. The 74 revised full papers presented together with 16 short papers and 16 invited talks, were carefully reviewed and selected from 130 submissions. The papers in this two set-volume of IJCRS 2017 follow the track already rutted by RSCTC and JRS conferences which aimed at unification of many facets of rough set theory from theoretical aspects of the rough set idea bordering on theory of concepts and going through algebraic structures, topological structures, logics for uncertain reasoning, decision algorithms, relations to other theories of vagueness and ambiguity, then to extensions of the rough set idea like granular structures, rough mereology, and to applications of the idea in diverse fields of applied science including hybrid methods like rough-fuzzy, neuro-rough, neuro-rough-fuzzy computing. IJCRS 2017 encompasses topics spread among four main tracks: Rough Sets and Data Science (in relation to RSCTC series organized since 1998); Rough Sets and Granular Computing (in relation to RSFDGrC series organized since 1999); Rough Sets and Knowledge Technology (in relation to RSKT series organized since 2006); and Rough Sets and Intelligent Systems (in relation to RSEISP series organized since 2007).

Rough Sets

Author : Andrea Campagner
Publisher : Springer Nature
ISBN 13 : 3031509595
Total Pages : 686 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Rough Sets by : Andrea Campagner

Download or read book Rough Sets written by Andrea Campagner and published by Springer Nature. This book was released on 2024-01-31 with total page 686 pages. Available in PDF, EPUB and Kindle. Book excerpt: This 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.

Transactions on Rough Sets XXI

Author : James F. Peters
Publisher : Springer
ISBN 13 : 3662587688
Total Pages : 325 pages
Book Rating : 4.6/5 (625 download)

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Book Synopsis Transactions on Rough Sets XXI by : James F. Peters

Download or read book Transactions on Rough Sets XXI written by James F. Peters and published by Springer. This book was released on 2019-02-01 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 XXI in the series is a continuation of a number of research streams that have grown out of the seminal work of Zdzislaw Pawlak during the first decade of the 21st century.

Algebraic Methods in General Rough Sets

Author : A. Mani
Publisher : Springer
ISBN 13 : 3030011623
Total Pages : 733 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Algebraic Methods in General Rough Sets by : A. Mani

Download or read book Algebraic Methods in General Rough Sets written by A. Mani and published by Springer. This book was released on 2019-01-11 with total page 733 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique collection of research papers offers a comprehensive and up-to-date guide to algebraic approaches to rough sets and reasoning with vagueness. It bridges important gaps, outlines intriguing future research directions, and connects algebraic approaches to rough sets with those for other forms of approximate reasoning. In addition, the book reworks algebraic approaches to axiomatic granularity. Given its scope, the book offers a valuable resource for researchers and teachers in the areas of rough sets and algebras of rough sets, algebraic logic, non classical logic, fuzzy sets, possibility theory, formal concept analysis, computational learning theory, category theory, and other formal approaches to vagueness and approximate reasoning. Consultants in AI and allied fields will also find the book to be of great practical value.

Rough Sets

Author : Tamás Mihálydeák
Publisher : Springer
ISBN 13 : 3030228150
Total Pages : 566 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Rough Sets by : Tamás Mihálydeák

Download or read book Rough Sets written by Tamás Mihálydeák and published by Springer. This book was released on 2019-06-10 with total page 566 pages. Available in PDF, EPUB and Kindle. Book excerpt: This 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.

Transactions on Rough Sets XXIII

Author : James F. Peters
Publisher : Springer Nature
ISBN 13 : 3662665441
Total Pages : 513 pages
Book Rating : 4.6/5 (626 download)

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Book Synopsis Transactions on Rough Sets XXIII by : James F. Peters

Download or read book Transactions on Rough Sets XXIII written by James F. Peters and published by Springer Nature. This book was released on 2023-01-01 with total page 513 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 XXIII in the series is a continuation of a number of research streams that have grown out of the seminal work of Zdzislaw Pawlak during the first decade of the 21st century.

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

Author : Davide Ciucci
Publisher : Springer
ISBN 13 : 3642412181
Total Pages : 412 pages
Book Rating : 4.6/5 (424 download)

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Book Synopsis Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing by : Davide Ciucci

Download or read book Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing written by Davide Ciucci and published by Springer. This book was released on 2013-10-07 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 and Current Trends in Computing

Author : Chien-Chung Chan
Publisher : Springer Science & Business Media
ISBN 13 : 3540884238
Total Pages : 544 pages
Book Rating : 4.5/5 (48 download)

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Book Synopsis Rough Sets and Current Trends in Computing by : Chien-Chung Chan

Download or read book Rough Sets and Current Trends in Computing written by Chien-Chung Chan and published by Springer Science & Business Media. This book was released on 2008-10-07 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: The articles in this volume were selected for presentation at the Sixth Inter- tional Conference on Rough Sets and Current Trends in Computing (RSCTC 2008), which took place on October 23–25 in Akron, Ohio, USA. The conference is a premier event for researchersand industrial professionals interested in the theory and applications of rough sets and related methodo- gies. Since its introduction over 25 years ago by Zdzislaw Pawlak, the theory of rough sets has grown internationally and matured, leading to novel applications and theoretical works in areas such as data mining and knowledge discovery, machine learning, neural nets, granular and soft computing, Web intelligence, pattern recognition and control. The proceedings of the conferences in this - ries, as well as in Rough Sets and Knowledge Technology (RSKT), and the Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC) series report a variety of innovative applications of rough set theory and of its extensions. Since its inception, the mathematical rough set theory was closely connected to application ?elds of computer science and to other areas, such as medicine, which provided additional motivation for its further development and tested its real-life value. Consequently, rough set conferences emphasize the - teractionsandinterconnectionswith relatedresearchareas,providingforumsfor exchanging ideas and mutual learning. The latter aspect is particularly imp- tant since the development of rough set-related applications usually requires a combination of often diverse expertise in rough sets and an application ?eld.

Information Processing and Management of Uncertainty in Knowledge-Based Systems

Author : Davide Ciucci
Publisher : Springer Nature
ISBN 13 : 303108974X
Total Pages : 807 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Information Processing and Management of Uncertainty in Knowledge-Based Systems by : Davide Ciucci

Download or read book Information Processing and Management of Uncertainty in Knowledge-Based Systems written by Davide Ciucci and published by Springer Nature. This book was released on 2022-07-04 with total page 807 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set (CCIS 1601-1602) constitutes the proceedings of the 19th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2021, held in Milan, Italy, in July 2022. The 124 papers were carefully reviewed and selected from 188 submissions. The papers are organized in topical sections as follows: aggregation theory beyond the unit interval; formal concept analysis and uncertainty; fuzzy implication functions; fuzzy mathematical analysis and its applications; generalized sets and operators; information fusion techniques based on aggregation functions, pre-aggregation functions, and their generalizations; interval uncertainty; knowledge acquisition, representation and reasoning; logical structures of opposition and logical syllogisms; mathematical fuzzy logics; theoretical and applied aspects of imprecise probabilities; data science and machine learning; decision making modeling and applications; e-health; fuzzy methods in data mining and knowledge discovery; soft computing and artificia intelligence techniques in image processing; soft methods in statistics and data analysis; uncertainty, heterogeneity, reliability and explainability in AI; weak and cautious supervised learning.

Soft Computing for Data Analytics, Classification Model, and Control

Author : Deepak Gupta
Publisher : Springer Nature
ISBN 13 : 3030920267
Total Pages : 165 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Soft Computing for Data Analytics, Classification Model, and Control by : Deepak Gupta

Download or read book Soft Computing for Data Analytics, Classification Model, and Control written by Deepak Gupta and published by Springer Nature. This book was released on 2022-01-30 with total page 165 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a set of soft computing approaches and their application in data analytics, classification model, and control. The basics of fuzzy logic implementation for advanced hybrid fuzzy driven optimization methods has been covered in the book. The various soft computing techniques, including Fuzzy Logic, Rough Sets, Neutrosophic Sets, Type-2 Fuzzy logic, Neural Networks, Generative Adversarial Networks, and Evolutionary Computation have been discussed and they are used on variety of applications including data analytics, classification model, and control. The book is divided into two thematic parts. The first thematic section covers the various soft computing approaches for text classification and data analysis, while the second section focuses on the fuzzy driven optimization methods for the control systems. The chapters has been written and edited by active researchers, which cover hypotheses and practical considerations; provide insights into the design of hybrid algorithms for applications in data analytics, classification model, and engineering control.

Information Processing and Management of Uncertainty in Knowledge-Based Systems

Author : Marie-Jeanne Lesot
Publisher : Springer Nature
ISBN 13 : 3030501469
Total Pages : 779 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Information Processing and Management of Uncertainty in Knowledge-Based Systems by : Marie-Jeanne Lesot

Download or read book Information Processing and Management of Uncertainty in Knowledge-Based Systems written by Marie-Jeanne Lesot and published by Springer Nature. This book was released on 2020-06-05 with total page 779 pages. Available in PDF, EPUB and Kindle. Book excerpt: This three volume set (CCIS 1237-1239) constitutes the proceedings of the 18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2020, in June 2020. The conference was scheduled to take place in Lisbon, Portugal, at University of Lisbon, but due to COVID-19 pandemic it was held virtually. The 173 papers were carefully reviewed and selected from 213 submissions. The papers are organized in topical sections: homage to Enrique Ruspini; invited talks; foundations and mathematics; decision making, preferences and votes; optimization and uncertainty; games; real world applications; knowledge processing and creation; machine learning I; machine learning II; XAI; image processing; temporal data processing; text analysis and processing; fuzzy interval analysis; theoretical and applied aspects of imprecise probabilities; similarities in artificial intelligence; belief function theory and its applications; aggregation: theory and practice; aggregation: pre-aggregation functions and other generalizations of monotonicity; aggregation: aggregation of different data structures; fuzzy methods in data mining and knowledge discovery; computational intelligence for logistics and transportation problems; fuzzy implication functions; soft methods in statistics and data analysis; image understanding and explainable AI; fuzzy and generalized quantifier theory; mathematical methods towards dealing with uncertainty in applied sciences; statistical image processing and analysis, with applications in neuroimaging; interval uncertainty; discrete models and computational intelligence; current techniques to model, process and describe time series; mathematical fuzzy logic and graded reasoning models; formal concept analysis, rough sets, general operators and related topics; computational intelligence methods in information modelling, representation and processing.

Integrated Uncertainty in Knowledge Modelling and Decision Making

Author : Hirosato Seki
Publisher : Springer
ISBN 13 : 3030148157
Total Pages : 455 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Integrated Uncertainty in Knowledge Modelling and Decision Making by : Hirosato Seki

Download or read book Integrated Uncertainty in Knowledge Modelling and Decision Making written by Hirosato Seki and published by Springer. This book was released on 2019-03-18 with total page 455 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 7th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2019, held in Nara, Japan, in March 2019. The 37 revised full papers presented were carefully reviewed and selected from 93 submissions. The papers deal with all aspects of uncertainty modelling and management and are organized in topical sections on uncertainty management and decision support; econometrics; machine learning; machine learning applications; and statistical methods.

Proceedings of the Global AI Congress 2019

Author : Jyotsna Kumar Mandal
Publisher : Springer Nature
ISBN 13 : 9811521883
Total Pages : 729 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Proceedings of the Global AI Congress 2019 by : Jyotsna Kumar Mandal

Download or read book Proceedings of the Global AI Congress 2019 written by Jyotsna Kumar Mandal and published by Springer Nature. This book was released on 2020-04-02 with total page 729 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers high-quality research papers presented at the Global AI Congress 2019, which was organized by the Institute of Engineering and Management, Kolkata, India, on 12–14 September 2019. Sharing contributions prepared by researchers, practitioners, developers and experts in the areas of artificial intelligence, the book covers the areas of AI for E-commerce and web applications, AI and sensors, augmented reality, big data, brain computing interfaces, computer vision, cognitive radio networks, data mining, deep learning, expert systems, fuzzy sets and systems, image processing, knowledge representation, nature-inspired computing, quantum machine learning, reasoning, robotics and autonomous systems, robotics and the IoT, social network analysis, speech processing, video processing, and virtual reality.

Rough Sets

Author : JingTao Yao
Publisher : Springer Nature
ISBN 13 : 3031212444
Total Pages : 445 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Rough Sets by : JingTao Yao

Download or read book Rough Sets written by JingTao Yao and published by Springer Nature. This book was released on 2022-11-10 with total page 445 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Organizing for the Digital World

Author : Federico Cabitza
Publisher : Springer
ISBN 13 : 3319905031
Total Pages : 266 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Organizing for the Digital World by : Federico Cabitza

Download or read book Organizing for the Digital World written by Federico Cabitza and published by Springer. This book was released on 2018-08-20 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book argues that “organizing” is a broader term than managing, as it entails understanding how people and machines interact with each other; how resources, data, goods are exchanged in complex and intertwined value chains; and how lines of action and activities can be articulated using flexible protocols and often ad-hoc processes in situated practices of use and production. The book presents a collection of research papers shedding new light on these phenomena and related practices from both academic and professional perspectives. Given the plurality of views that it offers, the book makes a relevant contribution to the understanding and appreciation of the complexity of the digital world at various levels of granularity. It focuses on how individuals, communities and the coopetitive societies of our new, global and hyperconnected world produce value and pursue their objectives and ideals in mutually dependent ways. The content of the book is based on a selection of the best papers - original double-blind peer-reviewed contributions - presented at the annual conference of the Italian chapter of the AIS, which was held in Milan, Italy in October 2017.