FESOLE-fuzzy expert system for determining the optimal level of enforcement

Kód výsledku v 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>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

FESOLE-fuzzy expert system for determining the optimal level of enforcement

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

FESOLE-fuzzy expert system for determining the optimal level of enforcement

Popis výsledku anglicky

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.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

BB - Aplikovaná statistika, operační výzkum

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2010

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

IET Intelligent Transport Systems

ISSN

1751-956X

e-ISSN

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Svazek periodika

4

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

6

Strana od-do

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Kód UT WoS článku

000275712100008

EID výsledku v databázi Scopus

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