Abstract
Cross-docking location-planning problem is recognized as one of the significant issues in logistics management. To address the issue, group decision-making methods are known as useful tools to evaluate the cross-docking location candidates under conflicted criteria regarding a group of logistics decision makers’ or experts’ judgments. In this respect, the decision can be appropriately made based on incomplete information within a framework of multi-attribute group decision analysis. Interval-valued hesitant fuzzy sets (IVHFSs) theory among new extensions of fuzzy sets theory is considered to assign some interval-valued membership degrees for cross-docking location candidates in terms of the selected criteria under a set to decrease the errors. Moreover, a new hierarchical decision methodology, namely IVHF-H-PC-CS, is designed under an uncertain environment by presenting an extended interval-valued hesitant fuzzy pairwise comparison (IVHF-PC) method for computing criteria’ weights and a new interval-valued hesitant fuzzy compromise solution (IVHF-CS) approach for ranking the cross-docking location candidates. Moreover, weights of logistics decision makers are calculated and considered in the procedure of proposed IVHF-H-PC-CS methodology to decrease the judgments’ errors. In addition, a hierarchical structure in defining the criteria could help the logistics experts to assess the cross-docking location-planning problem from many aspects. Also, the experts’ judgments are aggregated in the process of proposed interval-valued hesitant fuzzy decision methodology to avoid the data loss. Finally, a real application about the cross-docking location-planning problem is provided to show the suitability and feasibility of the proposed IVHF-H-PC-CS methodology. The obtained ranking results are compared with fuzzy decision-making methods from the recent literature to confirm the computational results of this study.
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