Citation

Landowski M, Landowska A. Transp. Res. Proc. 2019; 39: 260-269.

Copyright

(Copyright © 2019, Elsevier Publications)

DOI

10.1016/j.trpro.2019.06.028

PMID

unavailable

Abstract

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.

Language: en

Keywords

decision rules; rou rough sets; transport; vehicle traffic volume