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Fuzzy Information Processing 2023 - Kelly Cohen - Bog

Bag om Fuzzy Information Processing 2023

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.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9783031467776
  • Indbinding:
  • Paperback
  • Sideantal:
  • 368
  • Udgivet:
  • 25. november 2023
  • Udgave:
  • 23001
  • Størrelse:
  • 155x20x235 mm.
  • Vægt:
  • 557 g.
  • 8-11 hverdage.
  • 2. december 2024
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  • BLACK NOVEMBER

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Prøv i 30 dage for 45 kr.
Herefter fra 79 kr./md. Ingen binding.

Beskrivelse af Fuzzy Information Processing 2023

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.

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