Case Based Approximate Reasoning

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Case-Based Approximate Reasoning

Author: Eyke Hüllermeier
language: en
Publisher: Springer Science & Business Media
Release Date: 2007-03-20
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.
Case-Based Reasoning

Author: Michael M. Richter
language: en
Publisher: Springer Science & Business Media
Release Date: 2013-10-31
This book presents case-based reasoning in a systematic approach with two goals: to present rigorous and formally valid structures for precise case-based reasoning, and to demonstrate the range of techniques, methods, and tools available for many applications.
Approximate Reasoning in Intelligent Systems, Decision and Control

Documents realistic applications of approximate reasoning techniques, with emphasis placed on operational systems. The papers presented explore new areas of practical decision-making and control systems by considering important aspects of fuzzy logic theory and the latest developments in the field of expert systems. Specific fields of application covered include modelling and control, management, planning, diagnostics, finance and software. Contains 12 papers.