Similarity Measures in Case-Based Reasoning
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F01%3APU22656" target="_blank" >RIV/00216305:26210/01:PU22656 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Similarity Measures in Case-Based Reasoning
Original language description
Case-based reasoning (CBR) is a recent approach to problem solving. CBR system solves a new problem by adapting known solutions of similar previously solved problems (cases). Therefore the concept of similarity is the key notion in CBR. A case is characterized by a structure (usually a vector) being composed of attributes. An important task in CBR is to accumulate local similarity measures of attributes into a global similarity measure of the whole object. In this paper we study various similarity measuures and possibilities of the accumulation of local measures into the global similarity measure. The main attention is devoted to the fuzzy similarity and fuzzy set-based techniques for matching in the phase of retrieving similar cases.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2001
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 9th Zittau Fuzzy Colloquium
ISBN
3-9808089-0-4
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
21-28
Publisher name
Hochschule Zittau/Gorlitz
Place of publication
Zittau
Event location
Zittau
Event date
Sep 17, 2001
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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