Fuzzy information processing 2020 : proceedings of the 2020 Annual Conference of the North American Fuzzy Information Processing Society, NAFIPS 2020 / Barnabás Bede, Martine Ceberio, Martine De Cock, Vladik Kreinovich, editors.
2022
QA248 .N67 2020
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Title
Fuzzy information processing 2020 : proceedings of the 2020 Annual Conference of the North American Fuzzy Information Processing Society, NAFIPS 2020 / Barnabás Bede, Martine Ceberio, Martine De Cock, Vladik Kreinovich, editors.
Corporate Author
ISBN
9783030815615 (electronic bk.)
3030815617 (electronic bk.)
9783030815608
3030815609
3030815617 (electronic bk.)
9783030815608
3030815609
Published
Cham : Springer, [2022]
Copyright
©2022
Language
English
Description
1 online resource : illustrations (chiefly color)
Item Number
10.1007/978-3-030-81561-5 doi
Call Number
QA248 .N67 2020
Dewey Decimal Classification
006.3/3
Summary
This book describes how to use expert knowledgewhich 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) applicationsas well as foundations and logistics of fuzzy techniques. This book can be recommended to specialistsboth in fuzzy and in various application areaswho will learn latest techniques and their applications, and to students interested in innovative ideas
Note
International conference proceedings.
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Digital File Characteristics
text file
PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed December 15, 2021).
Added Author
Series
Advances in intelligent systems and computing ; 1337. 2194-5365
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Table of Contents
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.
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.