Multi-elemental cooperative analysis can not only brings a large number of relevant information but fuzz up key
elements, so valid data excavating tools are needed to find element information which influences entities the most. Based
on the sample of bus site setting in a city, this paper employs Rough Sets method to analyze multi-elemental cooperation
which influence bus site grade and calculate importance of each element. Thus, multi-elemental cooperative analysis can
be realized. Compared with conventional multi-parameter analysis, this method based on data self-adapting is intelligent,
high-efficiency and have no use for manual intervention.
|