Case-Based Approximate Reasoning

1. Auflage. Softcover version of original hardcover Auflage 2007
ISBN: 978-90-481-7431-7
Verlag: Springer Netherlands

Buch, Englisch, 372 Seiten, Previously published in hardcover, Format (B × H): 152 mm x 229 mm, Gewicht: 561 g

Reihe: Theory and Decision Library B

Making use of different frameworks of approximate reasoning and reasoning under uncertainty, notably probabilistic and fuzzy set-based techniques, this book develops formal models of the above inference principle, which is fundamental to CBR. The case-based approximate reasoning methods thus obtained especially emphasize the heuristic nature of case-based inference and aspects of uncertainty in CBR.

Zielgruppe

Research

Autoren/Hrsg.

Hüllermeier, Eyke

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Fuzzy-Systeme

Inhaltsverzeichnis

Similarity and Case-Based Inference.- Constraint-Based Modeling of Case-Based Inference.- Probabilistic Modeling of Case-Based Inference.- Fuzzy Set-Based Modeling of Case-Based Inference I.- Fuzzy Set-Based Modeling of Case-Based Inference II.- Case-Based Decision Making.- Conclusions and Outlook.