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Fuzzy Information Processing 2020: Advances in Intelligent Systems and Computing, cartea 1337

Editat de Barnabás Bede, Martine Ceberio, Martine De Cock, Vladik Kreinovich
en Limba Engleză Paperback – 9 dec 2021
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.
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Specificații

ISBN-13: 9783030815608
ISBN-10: 3030815609
Pagini: 468
Ilustrații: X, 456 p. 167 illus., 137 illus. in color.
Dimensiuni: 155 x 235 x 26 mm
Greutate: 0.7 kg
Ediția:1st edition 2022
Editura: Springer
Colecția Advances in Intelligent Systems and Computing
Seria Advances in Intelligent Systems and Computing

Locul publicării:Cham, Switzerland

Cuprins

Powerset operators in categories with fuzzy relations dened by monads.- Improved Fuzzy Q-Learning with Replay Memory.- The ulem package: underlining for emphasis.- A Dynamic Hierarchical Genetic-Fuzzy Sugeno Network.- Fuzzy Mathematical Morphology and Applications in Image Processing.

Textul de pe ultima copertă

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.

Caracteristici

Covers all aspects of theory and applications in fuzzy systems, soft computing methods, and Presents the proceedings of the 2021 Annual Conference of the NAFIPS held on August 20–22, 2020, held online Has written by experts in the field