Time-Quality-Cost Trade-off in Logistics Service Management Based on Rough Sets Theory

In logistics service management, time-quality-cost trade-off optimization is the key problem. In general, decision makers distribute resources according to priority of attributes. So the priority weighs should be estimated under the situation of uncertainty. Because the judgment environment has the characteristics of hierarchy and multi-attribute in the logistics application, the authors put forward an integrated approach of analytical hierarchy process improved by rough sets theory. AHP is a useful method to obtain weights in multi-criteria decision making problem. But the traditional processes have subjectivity. Since conditional entropy and attribute significance concepts are used to improve the judgment consistency. The improved Rough Sets decision table is used to obtain more objective weighs. In this paper, a case study of true data of one logistics company is given to verify the feasibility and practicality of this model.


  • English

Media Info

  • Media Type: Web
  • Features: Figures; References; Tables;
  • Pagination: pp 327-332
  • Monograph Title: International Conference on Transportation Engineering 2009

Subject/Index Terms

Filing Info

  • Accession Number: 01530205
  • Record Type: Publication
  • ISBN: 9780784410394
  • Files: TRIS, ASCE
  • Created Date: Nov 12 2013 1:43PM