Uncertainty Management With Fuzzy And Rough Sets

Download Uncertainty Management With Fuzzy And Rough Sets full books in PDF, epub, and Kindle. Read online Uncertainty Management With Fuzzy And Rough Sets ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Uncertainty Management with Fuzzy and Rough Sets

Author : Rafael Bello
Publisher : Springer
ISBN 13 : 303010463X
Total Pages : 413 pages
Book Rating : 4.0/5 (31 download)

DOWNLOAD NOW!

Book Synopsis Uncertainty Management with Fuzzy and Rough Sets by : Rafael Bello

Download or read book Uncertainty Management with Fuzzy and Rough Sets written by Rafael Bello and published by Springer. This book was released on 2019-01-22 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a timely overview of fuzzy and rough set theories and methods. Based on selected contributions presented at the International Symposium on Fuzzy and Rough Sets, ISFUROS 2017, held in Varadero, Cuba, on October 24-26, 2017, the book also covers related approaches, such as hybrid rough-fuzzy sets and hybrid fuzzy-rough sets and granular computing, as well as a number of applications, from big data analytics, to business intelligence, security, robotics, logistics, wireless sensor networks and many more. It is intended as a source of inspiration for PhD students and researchers in the field, fostering not only new ideas but also collaboration between young researchers and institutions and established ones.

Uncertainty Management with Fuzzy and Rough Sets

Author : Rafael Bello
Publisher :
ISBN 13 : 9783030104641
Total Pages : pages
Book Rating : 4.1/5 (46 download)

DOWNLOAD NOW!

Book Synopsis Uncertainty Management with Fuzzy and Rough Sets by : Rafael Bello

Download or read book Uncertainty Management with Fuzzy and Rough Sets written by Rafael Bello and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a timely overview of fuzzy and rough set theories and methods. Based on selected contributions presented at the International Symposium on Fuzzy and Rough Sets, ISFUROS 2017, held in Varadero, Cuba, on October 24-26, 2017, the book also covers related approaches, such as hybrid rough-fuzzy sets and hybrid fuzzy-rough sets and granular computing, as well as a number of applications, from big data analytics, to business intelligence, security, robotics, logistics, wireless sensor networks and many more. It is intended as a source of inspiration for PhD students and researchers in the field, fostering not only new ideas but also collaboration between young researchers and institutions and established ones.

Rough Sets, Fuzzy Sets and Knowledge Discovery

Author : Wojciech P. Ziarko
Publisher : Springer Science & Business Media
ISBN 13 : 1447132386
Total Pages : 486 pages
Book Rating : 4.4/5 (471 download)

DOWNLOAD NOW!

Book Synopsis Rough Sets, Fuzzy Sets and Knowledge Discovery by : Wojciech P. Ziarko

Download or read book Rough Sets, Fuzzy Sets and Knowledge Discovery written by Wojciech P. Ziarko and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 486 pages. Available in PDF, EPUB and Kindle. Book excerpt: The objective of this book is two-fold. Firstly, it is aimed at bringing to gether key research articles concerned with methodologies for knowledge discovery in databases and their applications. Secondly, it also contains articles discussing fundamentals of rough sets and their relationship to fuzzy sets, machine learning, management of uncertainty and systems of logic for formal reasoning about knowledge. Applications of rough sets in different areas such as medicine, logic design, image processing and expert systems are also represented. The articles included in the book are based on selected papers presented at the International Workshop on Rough Sets and Knowledge Discovery held in Banff, Canada in 1993. The primary methodological approach emphasized in the book is the mathematical theory of rough sets, a relatively new branch of mathematics concerned with the modeling and analysis of classification problems with imprecise, uncertain, or incomplete information. The methods of the theory of rough sets have applications in many sub-areas of artificial intelligence including knowledge discovery, machine learning, formal reasoning in the presence of uncertainty, knowledge acquisition, and others. This spectrum of applications is reflected in this book where articles, although centered around knowledge discovery problems, touch a number of related issues. The book is intended to provide an important reference material for students, researchers, and developers working in the areas of knowledge discovery, machine learning, reasoning with uncertainty, adaptive expert systems, and pattern classification.

Integrated Uncertainty Management and Applications

Author : Van-Nam Huynh
Publisher : Springer Science & Business Media
ISBN 13 : 3642119603
Total Pages : 569 pages
Book Rating : 4.6/5 (421 download)

DOWNLOAD NOW!

Book Synopsis Integrated Uncertainty Management and Applications by : Van-Nam Huynh

Download or read book Integrated Uncertainty Management and Applications written by Van-Nam Huynh and published by Springer Science & Business Media. This book was released on 2010-03-26 with total page 569 pages. Available in PDF, EPUB and Kindle. Book excerpt: Solving practical problems often requires the integration of information and knowledge from many different sources, taking into account uncertainty and impreciseness. The 2010 International Symposium on Integrated Uncertainty Management and Applications (IUM’2010), which takes place at the Japan Advanced Institute of Science and Technology (JAIST), Ishikawa, Japan, between 9th–11th April, is therefore conceived as a forum for the discussion and exchange of research results, ideas for and experience of application among researchers and practitioners involved with all aspects of uncertainty modelling and management.

Fuzzy Logic for the Management of Uncertainty

Author : Lotfi Asker Zadeh
Publisher : Wiley-Interscience
ISBN 13 :
Total Pages : 696 pages
Book Rating : 4.3/5 (91 download)

DOWNLOAD NOW!

Book Synopsis Fuzzy Logic for the Management of Uncertainty by : Lotfi Asker Zadeh

Download or read book Fuzzy Logic for the Management of Uncertainty written by Lotfi Asker Zadeh and published by Wiley-Interscience. This book was released on 1992-07-30 with total page 696 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy Logic for the Management of Uncertainty covers many important topics, including:" "Developments in mathematics that have paved the road for fuzzy logic;" "Deep, and of a broad perspective, exposition of virtually all approaches used in contemporary science for the representation and handling of imperfect (uncertain, imprecise, vague, ambiguous, etc.) information;" "Coverage of practically all relevant and promising directions and approaches in fuzzy logic research including LT--fuzzy logic, model theoretic approaches, intuitionistic fuzzy logic, nonmonotonic fuzzy logic, modifier fuzzy logic;" "VLSI fuzzy logic-based chips that have triggered the implementation of fuzzy logic in so many fields of science and technology;" "A broad coverage of fuzzy logic in approximate reasoning, including basic issues related to the role of fuzzy logic for approximate reasoning, analyses of various definitions of fuzzy implication that is a crucial element in fuzzy logic-based reasoning schemes,

Uncertainty Modeling for Database Design Using Intuitionistic and Rough Set Theory

Author :
Publisher :
ISBN 13 :
Total Pages : 15 pages
Book Rating : 4.:/5 (61 download)

DOWNLOAD NOW!

Book Synopsis Uncertainty Modeling for Database Design Using Intuitionistic and Rough Set Theory by :

Download or read book Uncertainty Modeling for Database Design Using Intuitionistic and Rough Set Theory written by and published by . This book was released on 2009 with total page 15 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper introduces the intuitionistic rough set and intuitionistic rough relational and rough object oriented database models. Rough set, fuzzy set, and intuitionistic set uncertainty management are discussed and compared, and the model based on intuitionistic and rough sets developed here is applied to databases. The intuitionistic rough set database models draw benefits from both the rough set and intuitionistic techniques, providing greater management of uncertainty for databases applications in a less than certain world.

Rough Sets, Fuzzy Sets, Data Mining and Granular Computing

Author : Aijun An
Publisher : Springer Science & Business Media
ISBN 13 : 3540725296
Total Pages : 598 pages
Book Rating : 4.5/5 (47 download)

DOWNLOAD NOW!

Book Synopsis Rough Sets, Fuzzy Sets, Data Mining and Granular Computing by : Aijun An

Download or read book Rough Sets, Fuzzy Sets, Data Mining and Granular Computing written by Aijun An and published by Springer Science & Business Media. This book was released on 2007-04-27 with total page 598 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Dominik Ślęzak
Publisher : Springer Science & Business Media
ISBN 13 : 3540286535
Total Pages : 764 pages
Book Rating : 4.5/5 (42 download)

DOWNLOAD NOW!

Book Synopsis Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing by : Dominik Ślęzak

Download or read book Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing written by Dominik Ślęzak and published by Springer Science & Business Media. This book was released on 2005-08-22 with total page 764 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two volume set LNAI 3641 and LNAI 3642 constitutes the refereed proceedings of the 10th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2005, held in Regina, Canada in August/September 2005. The 119 revised full papers presented were carefully reviewed and selected from a total of 277 submissions. They comprise the two volumes together with 6 invited papers, 22 approved workshop papers, and 5 special section papers that all were carefully selected and thoroughly revised. The first volume includes 75 contributions related to rough set approximations, rough-algebraic foundations, feature selection and reduction, reasoning in information systems, rough-probabilistic approaches, rough-fuzzy hybridization, fuzzy methods in data analysis, evolutionary computing, machine learning, approximate and uncertain reasoning, probabilistic network models, spatial and temporal reasoning, non-standard logics, and granular computing. The second volume contains 77 contributions and deals with rough set software, data mining, hybrid and hierarchical methods, information retrieval, image recognition and processing, multimedia applications, medical applications, web content analysis, business and industrial applications, the approved workshop papers and the papers accepted for a special session on intelligent and sapient systems.

Fuzzy Sets in the Management of Uncertainty

Author : Jaime Gil-Aluja
Publisher : Springer
ISBN 13 : 3540396993
Total Pages : 424 pages
Book Rating : 4.5/5 (43 download)

DOWNLOAD NOW!

Book Synopsis Fuzzy Sets in the Management of Uncertainty by : Jaime Gil-Aluja

Download or read book Fuzzy Sets in the Management of Uncertainty written by Jaime Gil-Aluja and published by Springer. This book was released on 2013-06-29 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy Sets in the Management of Uncertainty presents an overview of current problems in business management, primarily for those situations involving decision making of an economic-financial nature. The monograph therefore discusses problems of planning, programming, control and brings light to the entire financial network in its three phases: raising funds, analysis and investment. Special attention is paid to production processes and marketing of products and services. This monograph is a highly readable overview and introduction for scientists, professionals, graduate students, managers and consultants in the growing field of applications and fuzzy logic in the field of management.

Informational Paradigm, management of uncertainty and theoretical formalisms in the clustering framework: A review

Author : Pierpaolo D’Urso
Publisher : Infinite Study
ISBN 13 :
Total Pages : 33 pages
Book Rating : 4./5 ( download)

DOWNLOAD NOW!

Book Synopsis Informational Paradigm, management of uncertainty and theoretical formalisms in the clustering framework: A review by : Pierpaolo D’Urso

Download or read book Informational Paradigm, management of uncertainty and theoretical formalisms in the clustering framework: A review written by Pierpaolo D’Urso and published by Infinite Study. This book was released on with total page 33 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fifty years have gone by since the publication of the ﬁrst paper on clustering based on fuzzy sets theory.

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

Author : Guoyin Wang
Publisher : Springer Science & Business Media
ISBN 13 : 3540140409
Total Pages : 758 pages
Book Rating : 4.5/5 (41 download)

DOWNLOAD NOW!

Book Synopsis Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing by : Guoyin Wang

Download or read book Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing written by Guoyin Wang and published by Springer Science & Business Media. This book was released on 2003-05-08 with total page 758 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Measuring Uncertainty by Extracting Fuzzy Rules Using Rough Sets

Author : National Aeronautics and Space Adm Nasa
Publisher :
ISBN 13 : 9781730912146
Total Pages : 84 pages
Book Rating : 4.9/5 (121 download)

DOWNLOAD NOW!

Book Synopsis Measuring Uncertainty by Extracting Fuzzy Rules Using Rough Sets by : National Aeronautics and Space Adm Nasa

Download or read book Measuring Uncertainty by Extracting Fuzzy Rules Using Rough Sets written by National Aeronautics and Space Adm Nasa and published by . This book was released on 2018-11-10 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt: Despite the advancements in the computer industry in the past 30 years, there is still one major deficiency. Computers are not designed to handle terms where uncertainty is present. To deal with uncertainty, techniques other than classical logic must be developed. The methods are examined of statistical analysis, the Dempster-Shafer theory, rough set theory, and fuzzy set theory to solve this problem. The fundamentals of these theories are combined to possibly provide the optimal solution. By incorporating principles from these theories, a decision making process may be simulated by extracting two sets of fuzzy rules: certain rules and possible rules. From these rules a corresponding measure of how much these rules is believed is constructed. From this, the idea of how much a fuzzy diagnosis is definable in terms of a set of fuzzy attributes is studied. Worm, Jeffrey A. Unspecified Center...

Measuring Uncertainty by Extracting Fuzzy Rules Using Rough Sets

Author : Jeffrey A. Worm
Publisher :
ISBN 13 :
Total Pages : 39 pages
Book Rating : 4.:/5 (311 download)

DOWNLOAD NOW!

Book Synopsis Measuring Uncertainty by Extracting Fuzzy Rules Using Rough Sets by : Jeffrey A. Worm

Download or read book Measuring Uncertainty by Extracting Fuzzy Rules Using Rough Sets written by Jeffrey A. Worm and published by . This book was released on 1991 with total page 39 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Rough Sets and Current Trends in Computing

Author : James J. Alpigini
Publisher : Springer
ISBN 13 : 3540458131
Total Pages : 654 pages
Book Rating : 4.5/5 (44 download)

DOWNLOAD NOW!

Book Synopsis Rough Sets and Current Trends in Computing by : James J. Alpigini

Download or read book Rough Sets and Current Trends in Computing written by James J. Alpigini and published by Springer. This book was released on 2003-08-03 with total page 654 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the papers selected for presentation at the Third Inter- tional Conference on Rough Sets and Current Trends in Computing (RSCTC 2002) held at Penn State Great Valley, Malvern, Pennsylvania, U.S.A., 14–16 October 2002. Rough set theoryand its applications constitute a branch of soft computing that has exhibited a signi?cant growth rate during recent years. RSCTC 2002 provided a forum for exchanging ideas among manyresearchers in the rough set communityand in various areas of soft computing and served as a stimulus for mutual understanding and cooperation. In recent years, there have been a number of advances in rough set theoryand applications. Hence, we have witnessed a growing number of international workshops on rough sets and their applications. In addition, it should be observed that one of the beauties of rough sets and the rough set philosophyis that it tends to complement and reinforce research in manytraditional research areas and applications. This is the main reason that manyinternational conferences are now including rough sets into the list of topics.

Transactions on Rough Sets III

Author : James F. Peters
Publisher : Springer Science & Business Media
ISBN 13 : 3540259988
Total Pages : 468 pages
Book Rating : 4.5/5 (42 download)

DOWNLOAD NOW!

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

Download or read book Transactions on Rough Sets III written by James F. Peters and published by Springer Science & Business Media. This book was released on 2005-05-17 with total page 468 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. This third volume of the Transactions on Rough Sets presents 11 revised papers that have been through a careful peer reviewing process by the journal's Editorial Board. The research monograph "Time Complexity of Decision Trees" by Mikhail Ju. Moshkov is presented in the section on dissertation and monographs. Among the regular papers the one by Zdzislaw Pawlak entitled "Flow Graphs and Data Mining" deserves a special mention.

Granular Computing

Author : Witold Pedrycz
Publisher : Physica
ISBN 13 : 3790818232
Total Pages : 403 pages
Book Rating : 4.7/5 (98 download)

DOWNLOAD NOW!

Book Synopsis Granular Computing by : Witold Pedrycz

Download or read book Granular Computing written by Witold Pedrycz and published by Physica. This book was released on 2013-06-05 with total page 403 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Measuring Uncertainty by Extracting Fuzzy Rules Using Rough Sets and Extracting Fuzzy Rules Under Uncertainty and Measuring Definability Using Rough Sets

Download Measuring Uncertainty by Extracting Fuzzy Rules Using Rough Sets and Extracting Fuzzy Rules Under Uncertainty and Measuring Definability Using Rough Sets PDF Online Free

Author : National Aeronautics and Space Administration (NASA)
Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781722632892
Total Pages : 80 pages
Book Rating : 4.6/5 (328 download)

DOWNLOAD NOW!

Book Synopsis Measuring Uncertainty by Extracting Fuzzy Rules Using Rough Sets and Extracting Fuzzy Rules Under Uncertainty and Measuring Definability Using Rough Sets by : National Aeronautics and Space Administration (NASA)

Download or read book Measuring Uncertainty by Extracting Fuzzy Rules Using Rough Sets and Extracting Fuzzy Rules Under Uncertainty and Measuring Definability Using Rough Sets written by National Aeronautics and Space Administration (NASA) and published by Createspace Independent Publishing Platform. This book was released on 2018-07-08 with total page 80 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computers are not designed to handle terms where uncertainty is present. To deal with uncertainty, techniques other than classical logic must be developed. This paper examines the concepts of statistical analysis, the Dempster-Shafer theory, rough set theory, and fuzzy set theory to solve this problem. The fundamentals of these theories are combined to provide the possible optimal solution. By incorporating principles from these theories, a decision-making process may be simulated by extracting two sets of fuzzy rules: certain rules and possible rules. From these rules a corresponding measure of how much we believe these rules is constructed. From this, the idea of how much a fuzzy diagnosis is definable in terms of its fuzzy attributes is studied. Worm, Jeffrey A. and Culas, Donald E. Unspecified Center...