Abstract
A combinatorial assessment method (CAM) model is presented to better assess and solve sequencing problems with respect to safety issues in waterway traffic environments. The CAM model proposed involves four parts: the attributive matching model (AMM) and its algorithm, the multi-method calculation, the information filtering model (IFM), and the information fusion algorithm (IFA). Among them, the AMM and its algorithm for the matching level can initially select suitable methods. The multi-method calculation can apply the chosen methods and unify the dimensions of all solutions. The IFM, based on the iterative cluster analysis, can remove errors and interferences through several iterations to improve the solution. The IFA, based on the mean value method, the Borda count rule, and the Copeland method, can examine the convergence of the solutions and provide a high quality one. Another noticeable function is that a customized model for a particular object might be obtainable based on the proposed CAM model. In the second part of the paper, the CAM model is used to solve a channel sequencing problem with respect to the safety levels of a navigable environment of the Yangtze River. A customized CAM-CSP model is formed, whose generality is tested subsequently through a similar but more complicated channel sequencing problem. The solution indicates that the proposed CAM model can enhance the assessment’s quality and help to provide a customized model to solve similar problems conveniently.
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Acknowledgments
The authors would like to thank the editor and the anonymous referees for their valuable comments and suggestions. This work was financially supported by the National Natural Science Foundation of China (51279099), the Special Fund for the Scientific Research on Selection and Training of Shanghai Outstanding Young College Teachers (B211029K), the Science and Technology Committee Foundation of Shanghai Municipality (12ZR1412500), the Innovation Program of Shanghai Municipal Education Commission (13ZZ124), the “Shu Guang” Project of Shanghai Municipal Education Commission and Shanghai Education Development Foundation (12SG40), and the Project of Applied Basic Research of the Ministry of Transportation (2013329810300). A special thank goes to Ms Marie Taris and Dr. Konstantinos Gakis who had reviewed the English of the paper.
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Qin, T., Chen, W., Pardalos, P.M. et al. A Combinatorial Assessment Method for the Sequencing Problem and its Application in Waterway Traffic Environments. Environ Model Assess 20, 145–158 (2015). https://doi.org/10.1007/s10666-014-9420-8
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DOI: https://doi.org/10.1007/s10666-014-9420-8