Port throughput influence factors based on neighborhood rough sets: An exploratory study
Abstract: The purpose of this
paper is to devise a efficient method for the importance analysis on Port
Throughput Influence Factors.
Design/methodology/approach: Neighborhood rough sets is applied to solve
the problem of selection factors. First the throughput index system is
established. Then, we build the attribute reduction model using the updated
numerical attribute to reduction algorithm based on neighborhood rough sets. We
optimized the algorithm in order to achieve high efficiency performance.
Finally, the article do empirical validation using Guangzhou Port throughput
and influencing factors’ historical data of year 2000 to 2013.
Findings: Through the model and algorithm, port enterprises can identify
the importance of port throughput factors. It can provide support for their
decisions.
Research limitations: The empirical data are historical data of year 2000
to 2013. The amount of data is small.
Practical implications: The results provide support for port business
investment, decisions and risk control, and also provide assistance for port
enterprises’ or other researchers’ throughput forecasting.
Originality/value: In this paper, we establish a throughput index system,
and optimize the algorithm for efficiency performance.
Author: Weiping Cui, Lei
Huang, Ying Wang
Journal Code: jptindustrigg150081
