Fuzzy Information Processing 2020: Proceedings of the 2020 Annual Conference of the North American Fuzzy Information Processing Society, NAFIPS 2020: ... in Intelligent Systems and Computing, 1337) 1st ed. 2022 Edition

Fuzzy Information Processing 2020: Proceedings of the 2020 Annual Conference of the North American Fuzzy Information Processing Society, NAFIPS 2020: ... in Intelligent Systems and Computing, 1337) 1st ed. 2022 Edition book cover

Fuzzy Information Processing 2020: Proceedings of the 2020 Annual Conference of the North American Fuzzy Information Processing Society, NAFIPS 2020: … in Intelligent Systems and Computing, 1337) 1st ed. 2022 Edition

Author(s): Barnabás Bede (Editor), Martine Ceberio (Editor), Martine De Cock (Editor), Vladik Kreinovich (Editor)

  • Publisher: Springer
  • Publication Date: 9 Dec. 2021
  • Edition: 1st ed. 2022
  • Language: English
  • Print length: 466 pages
  • ISBN-10: 3030815609
  • ISBN-13: 9783030815608

Book Description

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.

Editorial Reviews

From the Back Cover

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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