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NAFIPS'97
  • Language: en
  • Pages: 449

NAFIPS'97

This proceeding combines three conferences which feature papers on fuzzy logic and its industrial and other applications. Other features include: fuzzy neural networks; modelling; data mining; genetic algorithms; pattern recognition; approximate reasoning; and intelligent systems.

2016 Annual Meeting of the North American Fuzzy Information Processing Society
  • Language: en

2016 Annual Meeting of the North American Fuzzy Information Processing Society

  • Type: Book
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  • Published: Unknown
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  • Publisher: Unknown

Annotation As the premier fuzzy society in North America established in 1981, NAFIPS s purpose is to help guide and encourage the development of fuzzy sets and related technologies for the benefit of mankind NAFIPS 2016 is the annual conference of the society.

2009 Annual Meeting of the North American Fuzzy Information Processing Society (Nafips 2009)
  • Language: en
  • Pages: 577
NAFIPS 2011 2011 Annual Meeting of the North American Fuzzy Information Processing Society
  • Language: en

NAFIPS 2011 2011 Annual Meeting of the North American Fuzzy Information Processing Society

  • Type: Book
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  • Published: 2011-03-18
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  • Publisher: Unknown

Promote and encourage the development of fuzzy sets, fuzzy systems, and related technologies

NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society
  • Language: en
  • Pages: 873
Fuzzy Information Processing Society, 2008
  • Language: en

Fuzzy Information Processing Society, 2008

  • Type: Book
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  • Published: 2008
  • -
  • Publisher: Unknown

None

Fuzzy Information Processing 2020
  • Language: en
  • Pages: 451

Fuzzy Information Processing 2020

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.