Automatic generation of fuzzy rules and its applications in medical diagnosis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F04%3A03103447" target="_blank" >RIV/68407700:21230/04:03103447 - 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
Automatic generation of fuzzy rules and its applications in medical diagnosis
Original language description
Fuzzy Rule Learner (FURL) is a theory revision approach to fuzzy rules learning based on Hierarchical Prioritized Structures. Each new level is composed from exceptions to rules from the preceding levels. The new rules are chosen in order to eliminate the biggest classification errors found in the training data. FURL may me combined with many techniques used to interpret rule bases in fuzzy controllers. In the traditional approaches to fuzzy approximation, the learning of rules has an undesirable effect. When many new rules are added, the interpretation of the rule base tends to one of its extreme values, thus we loose its informational value. In this paper, we suggest and test two methods which may overcome this drawback, negated antecedents and a controller with conditionally firing rules. We show that they allow to improve the performance of systems based on learning of fuzzy rules, namely the Fuzzy Rule Learner. The methods are tested on ECG and Multiple Sclerosis Disease datasets.
Czech name
Není k dispozici
Czech description
Není k dispozici
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
<a href="/en/project/GA201%2F02%2F1540" target="_blank" >GA201/02/1540: Many-valued logics for soft computing</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2004
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 10th International Conference on Information Processing and Management of Uncertainty
ISBN
88-87242-54-2
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
657-663
Publisher name
Universita La Sapienza
Place of publication
Rome
Event location
Rome
Event date
Jul 4, 2004
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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