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Author : Kiyoji Asai
Publisher : IOS Press
ISBN 13 : 9784274900419
Total Pages : 202 pages
Book Rating : 4.9/5 (4 download)
Download or read book Fuzzy Systems for Information Processing written by Kiyoji Asai and published by IOS Press. This book was released on 1995 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Barnabás Bede
Publisher : Springer Nature
ISBN 13 : 3030815617
Total Pages : 451 pages
Book Rating : 4.0/5 (38 download)
Download or read book Fuzzy Information Processing 2020 written by Barnabás Bede and published by Springer Nature. This book was released on 2021-12-08 with total page 451 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes how to use expert knowledge—which is often formulated by using imprecise (fuzzy) words from a natural language. In the 1960s, Zadeh designed special "fuzzy" techniques for such use. In the 1980s, fuzzy techniques started controlling trains, elevators, video cameras, rice cookers, car transmissions, etc. Now, combining fuzzy with neural, genetic, and other intelligent methods leads to new state-of-the-art results: in aerospace industry (from drones to space flights), in mobile robotics, in finances (predicting the value of crypto-currencies), and even in law enforcement (detecting counterfeit banknotes, detecting online child predators and in creating explainable AI systems). The book describes these (and other) applications—as well as foundations and logistics of fuzzy techniques. This book can be recommended to specialists—both in fuzzy and in various application areas—who will learn latest techniques and their applications, and to students interested in innovative ideas.
Author : Galindo, Jos
Publisher : IGI Global
ISBN 13 : 159904854X
Total Pages : 899 pages
Book Rating : 4.5/5 (99 download)
Download or read book Handbook of Research on Fuzzy Information Processing in Databases written by Galindo, Jos and published by IGI Global. This book was released on 2008-05-31 with total page 899 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides comprehensive coverage and definitions of the most important issues, concepts, trends, and technologies in fuzzy topics applied to databases, discussing current investigation into uncertainty and imprecision management by means of fuzzy sets and fuzzy logic in the field of databases and data mining. It offers a guide to fuzzy information processing in databases"--Provided by publisher.
Author : Guilherme A. Barreto
Publisher : Springer
ISBN 13 : 9783319953113
Total Pages : 0 pages
Book Rating : 4.9/5 (531 download)
Download or read book Fuzzy Information Processing written by Guilherme A. Barreto and published by Springer. This book was released on 2018-07-04 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed proceedings of the 37th IFSA Conference, NAFIPS 2018, held in Fortaleza, Brazil, in July 2018. The 55 full papers presented were carefully reviewed and selected from 73 submissions. The papers deal with a large spectrum of topics, including theory and applications of fuzzy numbers and sets, fuzzy logic, fuzzy inference systems, fuzzy clustering, fuzzy pattern classification, neuro-fuzzy systems, fuzzy control systems, fuzzy modeling, fuzzy mathematical morphology, fuzzy dynamical systems, time series forecasting, and making decision under uncertainty.
Author : Laura Caponetti
Publisher : Springer
ISBN 13 : 3319441302
Total Pages : 141 pages
Book Rating : 4.3/5 (194 download)
Download or read book Fuzzy Logic for Image Processing written by Laura Caponetti and published by Springer. This book was released on 2016-09-16 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an introduction to fuzzy logic approaches useful in image processing. The authors start by introducing image processing tasks of low and medium level such as thresholding, enhancement, edge detection, morphological filters, and segmentation and shows how fuzzy logic approaches apply. The book is divided into two parts. The first includes vagueness and ambiguity in digital images, fuzzy image processing, fuzzy rule based systems, and fuzzy clustering. The second part includes applications to image processing, image thresholding, color contrast enhancement, edge detection, morphological analysis, and image segmentation. Throughout, they describe image processing algorithms based on fuzzy logic under methodological aspects in addition to applicative aspects. Implementations in java are provided for the various applications.
Author : Ralph Baker Kearfott
Publisher : Springer
ISBN 13 : 3030219208
Total Pages : 826 pages
Book Rating : 4.0/5 (32 download)
Download or read book Fuzzy Techniques: Theory and Applications written by Ralph Baker Kearfott and published by Springer. This book was released on 2019-06-10 with total page 826 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the latest findings related to fuzzy techniques, discussing applications in control, economics, education, humor studies, industrial engineering, linguistics, management, marketing, medicine and public health, military engineering, robotics, ship design, sports, transportation, and many other areas. It also presents recent fuzzy-related algorithms and theoretical results that can be used in other application areas. Featuring selected papers from the Joint World Congress of the International Fuzzy Systems Association (IFSA) and the Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) IFSA-NAFIPS’2019, held in Lafayette, Louisiana, USA, on June 18–21, 2019, the book is of interest to practitioners wanting to use fuzzy techniques to process imprecise expert knowledge. It is also a valuable resource for researchers wishing to extend the ideas from these papers to new application areas, for graduate students and for anyone else interested in problems involving fuzziness and uncertainty.
Author : Edwin Lughofer
Publisher : Springer
ISBN 13 : 3642180876
Total Pages : 467 pages
Book Rating : 4.6/5 (421 download)
Download or read book Evolving Fuzzy Systems - Methodologies, Advanced Concepts and Applications written by Edwin Lughofer and published by Springer. This book was released on 2011-01-31 with total page 467 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today’s real-world applications, there is an increasing demand of integrating new information and knowledge on-demand into model building processes to account for changing system dynamics, new operating conditions, varying human behaviors or environmental influences. Evolving fuzzy systems (EFS) are a powerful tool to cope with this requirement, as they are able to automatically adapt parameters, expand their structure and extend their memory on-the-fly, allowing on-line/real-time modeling. This book comprises several evolving fuzzy systems approaches which have emerged during the last decade and highlights the most important incremental learning methods used. The second part is dedicated to advanced concepts for increasing performance, robustness, process-safety and reliability, for enhancing user-friendliness and enlarging the field of applicability of EFS and for improving the interpretability and understandability of the evolved models. The third part underlines the usefulness and necessity of evolving fuzzy systems in several online real-world application scenarios, provides an outline of potential future applications and raises open problems and new challenges for the next generation evolving systems, including human-inspired evolving machines. The book includes basic principles, concepts, algorithms and theoretic results underlined by illustrations. It is dedicated to researchers from the field of fuzzy systems, machine learning, data mining and system identification as well as engineers and technicians who apply data-driven modeling techniques in real-world systems.
Author : Toshirō Terano
Publisher : Academic Press
ISBN 13 :
Total Pages : 328 pages
Book Rating : 4.3/5 (91 download)
Download or read book Applied Fuzzy Systems written by Toshirō Terano and published by Academic Press. This book was released on 1994 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: The authors provide a systematic exposition of fuzzy systems theory and its major applications in industry and business. The book focuses in-depth on a number of practical applications in areas ranging from industrial process control to medical diagnosis, and includes specific case studies that are appearing in English for the first time.
Author : C. Shen
Publisher : IOS Press
ISBN 13 : 1643682156
Total Pages : 494 pages
Book Rating : 4.6/5 (436 download)
Download or read book Fuzzy Systems and Data Mining VII written by C. Shen and published by IOS Press. This book was released on 2021-11-04 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy systems and data mining are indispensible aspects of the computer systems and algorithms on which the world has come to depend. This book presents papers from FSDM 2021, the 7th International Conference on Fuzzy Systems and Data Mining. The conference, originally due to take place in Seoul, South Korea, was held online on 26-29 October 2021, due to ongoing restrictions connected with the COVID-19 pandemic. The annual FSDM conference provides a platform for knowledge exchange between international experts, researchers, academics and delegates from industry. This year, the committee received 266 submissions, and this book contains 52 papers, including keynotes and invited presentations, oral and poster contributions. The papers cover four main areas: 1) fuzzy theory, algorithms and systems – including topics like stability; 2) fuzzy applications – which are widely used and cover various types of processing as well as hardware and architecture for big data and time series; 3) the interdisciplinary field of fuzzy logic and data mining; and 4) data mining itself. The topic most frequently addressed this year is fuzzy systems. The book offers an overview of research and developments in fuzzy logic and data mining, and will be of interest to all those working in the field of data science.
Author : Zhong Li
Publisher : Springer
ISBN 13 : 3540332219
Total Pages : 300 pages
Book Rating : 4.5/5 (43 download)
Download or read book Fuzzy Chaotic Systems written by Zhong Li and published by Springer. This book was released on 2006-08-02 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the fundamental concepts of fuzzy logic and fuzzy control, chaos theory and chaos control. It also provides a definition of chaos on the metric space of fuzzy sets. The book raises many questions and generates a great potential to attract more attention to combine fuzzy systems with chaos theory. In this way it contains important seeds for future scientific research and engineering applications.
Author : J.C. Bezdek
Publisher : Springer Science & Business Media
ISBN 13 : 1461552435
Total Pages : 527 pages
Book Rating : 4.4/5 (615 download)
Download or read book Fuzzy Sets in Approximate Reasoning and Information Systems written by J.C. Bezdek and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 527 pages. Available in PDF, EPUB and Kindle. Book excerpt: Approximate reasoning is a key motivation in fuzzy sets and possibility theory. This volume provides a coherent view of this field, and its impact on database research and information retrieval. First, the semantic foundations of approximate reasoning are presented. Special emphasis is given to the representation of fuzzy rules and specialized types of approximate reasoning. Then syntactic aspects of approximate reasoning are surveyed and the algebraic underpinnings of fuzzy consequence relations are presented and explained. The second part of the book is devoted to inductive and neuro-fuzzy methods for learning fuzzy rules. It also contains new material on the application of possibility theory to data fusion. The last part of the book surveys the growing literature on fuzzy information systems. Each chapter contains extensive bibliographical material. Fuzzy Sets in Approximate Reasoning and Information Systems is a major source of information for research scholars and graduate students in computer science and artificial intelligence, interested in human information processing.
Author : Guilherme A. Barreto
Publisher : Springer
ISBN 13 : 3319953125
Total Pages : 616 pages
Book Rating : 4.3/5 (199 download)
Download or read book Fuzzy Information Processing written by Guilherme A. Barreto and published by Springer. This book was released on 2018-07-03 with total page 616 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed proceedings of the 37th IFSA Conference, NAFIPS 2018, held in Fortaleza, Brazil, in July 2018. The 55 full papers presented were carefully reviewed and selected from 73 submissions. The papers deal with a large spectrum of topics, including theory and applications of fuzzy numbers and sets, fuzzy logic, fuzzy inference systems, fuzzy clustering, fuzzy pattern classification, neuro-fuzzy systems, fuzzy control systems, fuzzy modeling, fuzzy mathematical morphology, fuzzy dynamical systems, time series forecasting, and making decision under uncertainty.
Author : Daniel Mcneill
Publisher : Simon and Schuster
ISBN 13 : 0671875353
Total Pages : 324 pages
Book Rating : 4.6/5 (718 download)
Download or read book Fuzzy Logic written by Daniel Mcneill and published by Simon and Schuster. This book was released on 1994-04-14 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Traces the story of Lofti Zadeh, an Iranian-American professor at Berkeley who began developing fuzzy logic - the way to program computers so they can mimic the imprecise way that humans make decisions.
Author : Rafik A. Aliev
Publisher : Springer
ISBN 13 : 3030041646
Total Pages : 988 pages
Book Rating : 4.0/5 (3 download)
Download or read book 13th International Conference on Theory and Application of Fuzzy Systems and Soft Computing — ICAFS-2018 written by Rafik A. Aliev and published by Springer. This book was released on 2018-12-28 with total page 988 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the proceedings of the 13th International Conference on Application of Fuzzy Systems and Soft Computing (ICAFS 2018), held in Warsaw, Poland on August 27–28, 2018. It includes contributions from diverse areas of soft computing such as uncertain computation, Z-information processing, neuro-fuzzy approaches, evolutionary computing and others. The topics of the papers include theory of uncertainty computation; theory and application of soft computing; decision theory with imperfect information; neuro-fuzzy technology; image processing with soft computing; intelligent control; machine learning; fuzzy logic in data analytics and data mining; evolutionary computing; chaotic systems; soft computing in business, economics and finance; fuzzy logic and soft computing in the earth sciences; fuzzy logic and soft computing in engineering; soft computing in medicine, biomedical engineering and the pharmaceutical sciences; and probabilistic and statistical reasoning in the social and educational sciences. The book covers new ideas from theoretical and practical perspectives in economics, business, industry, education, medicine, the earth sciences and other fields. In addition to promoting the development and application of soft computing methods in various real-life fields, it offers a useful guide for academics, practitioners, and graduates in fuzzy logic and soft computing fields.
Author : Witold Pedrycz
Publisher : *Research Studies Press
ISBN 13 :
Total Pages : 376 pages
Book Rating : 4.3/5 (91 download)
Download or read book Fuzzy Control and Fuzzy Systems written by Witold Pedrycz and published by *Research Studies Press. This book was released on 1993-08-17 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Examines the methodology and algorithms of fuzzy sets considered mainly in the context of control engineering and system modelling and analysis. Special emphasis is focused on the processing of fuzzy information realized with the aid of fuzzy relational structures and their extensions.
Author : Andrea Tettamanzi
Publisher : Springer Science & Business Media
ISBN 13 : 9783540422044
Total Pages : 346 pages
Book Rating : 4.4/5 (22 download)
Download or read book Soft Computing written by Andrea Tettamanzi and published by Springer Science & Business Media. This book was released on 2001-09-07 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soft computing encompasses various computational methodologies, which, unlike conventional algorithms, are tolerant of imprecision, uncertainty, and partial truth. Soft computing technologies offer adaptability as a characteristic feature and thus permit the tracking of a problem through a changing environment. Besides some recent developments in areas like rough sets and probabilistic networks, fuzzy logic, evolutionary algorithms, and artificial neural networks are core ingredients of soft computing, which are all bio-inspired and can easily be combined synergetically. This book presents a well-balanced integration of fuzzy logic, evolutionary computing, and neural information processing. The three constituents are introduced to the reader systematically and brought together in differentiated combinations step by step. The text was developed from courses given by the authors and offers numerous illustrations as
Author : Julia Rayz
Publisher : Springer Nature
ISBN 13 : 3030820998
Total Pages : 506 pages
Book Rating : 4.0/5 (38 download)
Download or read book Explainable AI and Other Applications of Fuzzy Techniques written by Julia Rayz and published by Springer Nature. This book was released on 2021-07-27 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on an overview of the AI techniques, their foundations, their applications, and remaining challenges and open problems. Many artificial intelligence (AI) techniques do not explain their recommendations. Providing natural-language explanations for numerical AI recommendations is one of the main challenges of modern AI. To provide such explanations, a natural idea is to use techniques specifically designed to relate numerical recommendations and natural-language descriptions, namely fuzzy techniques. This book is of interest to practitioners who want to use fuzzy techniques to make AI applications explainable, to researchers who may want to extend the ideas from these papers to new application areas, and to graduate students who are interested in the state-of-the-art of fuzzy techniques and of explainable AI—in short, to anyone who is interested in problems involving fuzziness and AI in general.
