Design issues in fuzzy case-based reasoning

This paper focuses on the aspect of case representation in case-based reasoning systems. We introduce an augmentation in which each case is weighted individually over an independent set of properties. In addition, we encourage the use of fuzzy-valued properties, and show their incorporation in this...

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Bibliographic Details
Published in:Fuzzy sets and systems Vol. 117; no. 2; pp. 251 - 267
Main Authors: Slonim, T.Y., Schneider, M.
Format: Journal Article
Language:English
Published: Amsterdam Elsevier B.V 2001
Elsevier
Subjects:
Applied sciences
Artificial intelligence
Case representation
Computer science; control theory; systems
Exact sciences and technology
Fuzzy case-based reasoning
Fuzzy matching algorithms
Learning and adaptive systems
Mathematical logic, foundations, set theory
Mathematics
Programming theory
Sciences and techniques of general use
Set theory
Similarity measures
Theoretical computing
Fuzzy matching algorithms
Fuzzy case-based reasoning
Case representation
Similarity measures
Design
Fuzzy logic
Measure theory
Membership function
Fuzzy algorithm
Similarity
Reasoning
Similarity measure
Concordance
ISSN:0165-0114, 1872-6801
Online Access:Get full text
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Description
Summary:This paper focuses on the aspect of case representation in case-based reasoning systems. We introduce an augmentation in which each case is weighted individually over an independent set of properties. In addition, we encourage the use of fuzzy-valued properties, and show their incorporation in this representation. Combining these two characteristics, we receive the framework for a versatile Fuzzy CBR system.
ISSN:0165-0114
1872-6801
DOI:10.1016/S0165-0114(99)00055-X