Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Fuzzy Information Processing 2020
Download Fuzzy Information Processing 2020 full books in PDF, epub, and Kindle. Read online Fuzzy Information Processing 2020 ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis Fuzzy Information Processing 2020 by : Barnabás Bede
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 :North American Fuzzy Information Processing Society. Annual Meeting Publisher : ISBN 13 :9783030815622 Total Pages :0 pages Book Rating :4.8/5 (156 download)
Book Synopsis Fuzzy Information Processing 2020 by : North American Fuzzy Information Processing Society. Annual Meeting
Download or read book Fuzzy Information Processing 2020 written by North American Fuzzy Information Processing Society. Annual Meeting and published by . This book was released on 2022 with total page 0 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.
Book Synopsis Fuzzy Information Processing 2023 by : Kelly Cohen
Download or read book Fuzzy Information Processing 2023 written by Kelly Cohen and published by Springer Nature. This book was released on 2023-11-24 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an overview of latest successes and applications of fuzzy techniques—techniques that use expert knowledge formulated by natural-language words like "small". Engineering applications deal with aerospace (control of spacecrafts and unmanned aerial vehicles, air traffic control, airport passenger flow predictions), materials (designing gold nano-structures for medicine, catalysis, and sensors), and robot navigation and manipulation. Other application areas include cosmology, demographics, finances, wine production, medicine (diagnostics, epidemics control), and predicting human behavior. In many cases, fuzzy techniques are combined with machine learning AI. Due to natural-language origin of fuzzy techniques, such combination adds explainability (X) to AI. This book is recommended to students and practitioners interested in the state-of-the-art fuzzy-related XAI and to researchers willing to take on numerous remaining challenges.
Book Synopsis Handbook of Research on Fuzzy Information Processing in Databases by : Galindo, Jos
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.
Book Synopsis Explainable AI and Other Applications of Fuzzy Techniques by : Julia Rayz
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.
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 839 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.
Book Synopsis Recent Developments in Fuzzy Logic and Fuzzy Sets by : Shahnaz N. Shahbazova
Download or read book Recent Developments in Fuzzy Logic and Fuzzy Sets written by Shahnaz N. Shahbazova and published by Springer Nature. This book was released on 2020-03-05 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a timely and comprehensive overview of current theories and methods in fuzzy logic, as well as relevant applications in a variety of fields of science and technology. Dedicated to Lotfi A. Zadeh on his one year death anniversary, the book goes beyond a pure commemorative text. Yet, it offers a fresh perspective on a number of relevant topics, such as computing with words, theory of perceptions, possibility theory, and decision-making in a fuzzy environment. Written by Zadeh’s closest colleagues and friends, the different chapters are intended both as a timely reference guide and a source of inspiration for scientists, developers and researchers who have been dealing with fuzzy sets or would like to learn more about their potential for their future research.
Book Synopsis ICT Systems Security and Privacy Protection by : Marko Hölbl
Download or read book ICT Systems Security and Privacy Protection written by Marko Hölbl and published by Springer Nature. This book was released on 2020-09-14 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 35th IFIP TC 11 International Conference on Information Security and Privacy Protection, SEC 2020, held in Maribor, Slovenia, in September 2020. The conference was held virtually due to the COVID-19 pandemic. The 29 full papers presented were carefully reviewed and selected from 149 submissions. The papers present novel research on theoretical and practical aspects of security and privacy protection in ICT systems. They are organized in topical sections on channel attacks; connection security; human aspects of security and privacy; detecting malware and software weaknesses; system security; network security and privacy; access control and authentication; crypto currencies; privacy and security management; and machine learning and security.
Download or read book Fuzzy Information Processing written by and published by . This book was released on 1995 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Fuzzy Investment Decision Making with Examples by : Cengiz Kahraman
Download or read book Fuzzy Investment Decision Making with Examples written by Cengiz Kahraman and published by Springer Nature. This book was released on with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Fuzzy Systems for Information Processing by : Kiyoji Asai
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 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy information processing is the basis of various applications of fuzzy theory, but it is difficult to sum it up in a single volume introduction, and no book of this sort has been published here or overseas. An introduction to fuzzy information processing is given, together with an orderly and systematic description of the concepts, significance, progress, methods, hardware, software and applications, such as databases, control, expert systems and fuzzy computers as well as ones that will be developed in the future.This book is an important contribution for engineers and researchers that are aiming for various applications of fuzzy theory, as well as students that are learning about it. 'The book contains a very good introduction into object oriented methodologies and good hints and notes on CASE tools.' - J. Kral (Brno) Zentrallblatt fur Mathematik und ihre Grenzgebiete, band 823/95
Book Synopsis Fuzzy Information Processing in Artificial Intelligence and Operations Research by :
Download or read book Fuzzy Information Processing in Artificial Intelligence and Operations Research written by and published by . This book was released on 1987 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Towards Efficient Fuzzy Information Processing by : Chongfu Huang
Download or read book Towards Efficient Fuzzy Information Processing written by Chongfu Huang and published by . This book was released on 2014-09-01 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Applications of Fuzzy Techniques by : Scott Dick
Download or read book Applications of Fuzzy Techniques written by Scott Dick and published by Springer Nature. This book was released on 2022-09-29 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is of interest to practitioners, researchers and graduate students seeking to apply existing techniques, to learn about the state of the art, or to explore novel concepts, in the theory and application of fuzzy sets and logic. Human knowledge and judgement are essential in both designing technological systems and in evaluating their outcomes. However, humans think and communicate in imprecise concepts, not numbers. Fuzzy sets and logic are well-known, widely used approaches to bridging this gap, which have been studied for nearly 60 years. NAFIPS 2022 brought together researchers studying both the theoretical foundations of fuzzy logic and its application to real-world problems. Their work examined fuzzy solutions to problems as diverse as astronomy, chemical engineering, economics, energy engineering, health care, and transportation engineering. Many papers combined fuzzy logic with interval or probabilistic computing, neural networks, and genetic algorithms.
Book Synopsis Fuzzy Logic and Technology, and Aggregation Operators by : Sebastia Massanet
Download or read book Fuzzy Logic and Technology, and Aggregation Operators written by Sebastia Massanet and published by Springer Nature. This book was released on 2023-09-21 with total page 755 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 13th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2023, and 12th International Summer School on Aggregation Operators, AGOP 2023, jointly held in Palma de Mallorca, Spain, during September 4–8, 2023. The 71 full papers presented in this book were carefully reviewed and selected from 161 submissions. The papers are divided into special sessions on: Interval uncertainty; information fusion techniques based on aggregation functions, preaggregation functions and their generalizations; evaluative linguistic expressions, generalized quantifiers and applications; neural networks under uncertainty and imperfect information; imprecision modeling and management in XAI systems; recent trends in mathematical fuzzy logics; fuzzy graph-based models: theory and application; new frontiers of computational intelligence for pervasive healthcare systems; fuzzy implication functions; and new challenges and ideas in statistical inference and data analysis.
Book Synopsis Strategic Fuzzy Extensions and Decision-making Techniques by : Kamal Kumar
Download or read book Strategic Fuzzy Extensions and Decision-making Techniques written by Kamal Kumar and published by CRC Press. This book was released on 2024-07-31 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: The application of a novel correlation coefficient of linguistic intuitionistic fuzzy sets to medical diagnosis problems provides the topic for Strategic Fuzzy Extensions and Decision-making Techniques. It further explains neutrosophic cubic set-based aggregation operators for library ranking systems, and techniques for order performance by similarity to ideal solution. The text also introduces the new aggregation operators, similarity measures, and distance measures for the fuzzy sets and their extensions. This book: Introduces the new aggregation operators, similarity measures, and distance measures for the fuzzy sets and their extensions. Covers recent studies in the field of fuzzy optimization and decision making such as advanced decision-making algorithms. Highlights the application in the field of image processing and pattern recognition. Presents a technique for order performance by similarity to an ideal solution and VIKOR method for decision-making. Explores the limitations of existing fuzzy decision-making approaches such as the malfunctioning of existing formulations. It is primarily written for senior undergraduate, graduate students, and academic researchers in fields including industrial engineering, manufacturing engineering, production engineering, mechanical engineering, and engineering mathematics.
Book Synopsis Towards Efficient Fuzzy Information Processing by : Chongfu Huang
Download or read book Towards Efficient Fuzzy Information Processing written by Chongfu Huang and published by Springer Science & Business Media. This book was released on 2002-05-27 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: When we learn from books or daily experience, we make associations and draw inferences on the basis of information that is insufficient for under standing. One example of insufficient information may be a small sample derived from observing experiments. With this perspective, the need for de veloping a better understanding of the behavior of a small sample presents a problem that is far beyond purely academic importance. During the past 15 years considerable progress has been achieved in the study of this issue in China. One distinguished result is the principle of in formation diffusion. According to this principle, it is possible to partly fill gaps caused by incomplete information by changing crisp observations into fuzzy sets so that one can improve the recognition of relationships between input and output. The principle of information diffusion has been proven suc cessful for the estimation of a probability density function. Many successful applications reflect the advantages of this new approach. It also supports an argument that fuzzy set theory can be used not only in "soft" science where some subjective adjustment is necessary, but also in "hard" science where all data are recorded.
