Fuzzy Information Processing 2020
Fuzzy Information Processing 2020

Author: Barnabás Bede

Publisher: Springer Nature

Published: 2021-12-08

Total Pages: 451

ISBN-13: 3030815617

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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.

Fuzzy Information Processing 2020
Fuzzy Information Processing 2020

Author: North American Fuzzy Information Processing Society. Annual Meeting

Publisher:

Published: 2022

Total Pages: 0

ISBN-13: 9783030815622

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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.

Fuzzy Information Processing 2023
Fuzzy Information Processing 2023

Author: Kelly Cohen

Publisher: Springer Nature

Published: 2023-11-24

Total Pages: 368

ISBN-13: 3031467787

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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.

Explainable AI and Other Applications of Fuzzy Techniques
Explainable AI and Other Applications of Fuzzy Techniques

Author: Julia Rayz

Publisher: Springer Nature

Published: 2021-07-27

Total Pages: 506

ISBN-13: 3030820998

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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.

Information Processing and Management of Uncertainty in Knowledge-Based Systems
Information Processing and Management of Uncertainty in Knowledge-Based Systems

Author: Marie-Jeanne Lesot

Publisher: Springer Nature

Published: 2020-06-05

Total Pages: 839

ISBN-13: 3030501531

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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.

ICT Systems Security and Privacy Protection
ICT Systems Security and Privacy Protection

Author: Marko Hölbl

Publisher: Springer Nature

Published: 2020-09-14

Total Pages: 446

ISBN-13: 3030582019

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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.

Recent Developments in Fuzzy Logic and Fuzzy Sets
Recent Developments in Fuzzy Logic and Fuzzy Sets

Author: Shahnaz N. Shahbazova

Publisher: Springer Nature

Published: 2020-03-05

Total Pages: 211

ISBN-13: 303038893X

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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.

Fuzzy Systems for Information Processing
Fuzzy Systems for Information Processing

Author: Kiyoji Asai

Publisher: IOS Press

Published: 1995

Total Pages: 204

ISBN-13:

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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