FESOLE-fuzzy expert system for determining the optimal level of enforcement
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F10%3A00169401" target="_blank" >RIV/68407700:21260/10:00169401 - 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
FESOLE-fuzzy expert system for determining the optimal level of enforcement
Original language description
Electronic payment for using road infrastructure is gaining importance in the realm of intelligent transportation systems (ITS). While preparing such an electronic fee collection system, the level of enforcement needed must be determined. This is not a trivial task, because it is affected by many technical and monetary factors. At the same time, it cannot be expected that all decision makers are deeply involved in this field and are able to make an optimal decision depending on the recommendations of external experts. This paper describes a fuzzy expert system for determining the optimal level of enforcement-FESOLE. It bridges a missing part in the research concerning ITS. A fuzzy expert system is used to approach this problem. It can extract and exploit the knowledge of human experts and convert it to a robust computational model.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IET Intelligent Transport Systems
ISSN
1751-956X
e-ISSN
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Volume of the periodical
4
Issue of the periodical within the volume
1
Country of publishing house
GB - UNITED KINGDOM
Number of pages
6
Pages from-to
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UT code for WoS article
000275712100008
EID of the result in the Scopus database
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