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...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Fuzzy sets and systems Ročník 117; číslo 2; s. 251 - 267
Hlavní autoři: Slonim, T.Y., Schneider, M.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Amsterdam Elsevier B.V 2001
Elsevier
Témata:
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
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí: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