Usage of the rough set theory for generating decision rules of number of traffic vehicles

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Often, it is difficult to interpret and use the large size of data obtained from the experiment. In addition, the generated information can be unprecise. The rough set theory besides probability theory, fuzzy set theory and many others in recent years is very often used by scientists to solve problems of data mining. In the paper the data mining of the traffic vehicles with rough set theory was made. With this theory it was shown that it is possible to generate the decision rules of the number of vehicles at the specific points in the city. On the basis of 120 objects 16 well-defined linguistic decision rules were obtained.

Tytuł
Usage of the rough set theory for generating decision rules of number of traffic vehicles
Twórca
Landowski Marek ORCID 0000-0002-2246-1700
Słowa kluczowe
rough sets; decision rules; transport; vehicle traffic volume
Słowa kluczowe
zbiory przybliżone; reguły decyzyjne; natężenie ruchu pojazdów
Współtwórca
Landowska Anna ORCID 0000-0003-2922-1002
Data
2019
Typ zasobu
artykuł
Identyfikator zasobu
DOI 10.1016/j.trpro.2019.06.028
Źródło
Transportation Research Procedia, 2019, vol. 39, pp. 260-269
Język
angielski
Prawa autorskie
CC BY-NC-ND CC BY-NC-ND
Kategorie
Publikacje pracowników US
Data udostępnienia14 cze 2023, 13:17:58
Data mod.14 cze 2023, 13:17:58
DostępPubliczny
Aktywnych wyświetleń0