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Fuzzy Rule-Based Inference Advances and Applications in Reasoning with Approximate Knowledge Interpolation /

This book covers a comprehensive approach to the development and application of a suite of novel algorithms for practical approximate knowledge-based inference. It includes an introduction to the fundamental concepts of fuzzy sets, fuzzy logic, and fuzzy inference. Collectively, this book provides a...

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Autors principals: Li, Fangyi (Autor), Shen, Qiang (Autor)
Autor corporatiu: SpringerLink (Online service)
Format: Electrònic eBook
Idioma:anglès
Publicat: Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Edició:1st ed. 2024.
Matèries:
Artificial intelligence.
Expert systems (Computer science).
Computers, Special purpose.
Pattern recognition systems.
Application software.
Image processing > Digital techniques.
Computer vision.
Artificial Intelligence.
Knowledge Based Systems.
Special Purpose and Application-Based Systems.
Automated Pattern Recognition.
Computer and Information Systems Applications.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Accés en línia:https://doi.org/10.1007/978-981-97-0491-0
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Taula de continguts:
  • 1 Introduction
  • 2 Framework of Fuzzy Rule Interpolation
  • 3 Attribute Weighting and Weighted Fuzzy Rule Bases
  • 4 Attribute Weighted Fuzzy Rule-based Inference
  • 5 Attribute Weighted Fuzzy Interpolative Reasoning
  • 6 Practical Integrated Weighted Approximate Reasoning
  • 7 Practical Application to Interpretable Medical Risk Analysis
  • 8 Conclusion.

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