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Attributes Knowledge Reduction and Evaluation Decision of Logistics Centre Location Based on Rough Sets

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4 Author(s)
Yongchang Ren ; Coll. of Inf. Sci. & Technol., Bohai Univ., Jinzhou, China ; Tao Xing ; Qiang Quan ; Xiaoji Chen

Reasonable choice of logistics center location, has important significance, for optimizing the regional industrial layout, and promoting the development of modern logistics industry. For the problems such as the logistics center location by many influence factors, the decision-making and evaluation of location program are complex, this paper use the rough sets method to study. first, analyze the influence factors of logistics center location, to build the influence factors index system, second, on the basis of properties importance formula which has been given, study the attributes knowledge acquisition algorithm, then study the decision model of program evaluation, including basic evaluating relationship model, fuzzy partial order model and mathematical formula which estimate the total order of evaluation objects, in the end, through logistics center location examples to illustrate the concrete steps of attributes knowledge acquisition and evaluation decision. The results show that, use the rough sets theory, conduct the evaluation decision after the attributes knowledge acquisition, this method is simple and applicable, and is the scientific method of logistics center location.

Published in:

Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on  (Volume:1 )

Date of Conference:

28-29 March 2011