期刊
EXPERT SYSTEMS WITH APPLICATIONS
卷 41, 期 1, 页码 156-167出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.eswa.2013.07.018
关键词
Supplier selection; D numbers; D-AHP; Analytic hierarchy process; Fuzzy preference relation
类别
资金
- Chongqing Natural Science Foundation [CSCT, 2010BA2003]
- National Natural Science Foundation of China [61174022, 71271061, 70801020]
- Program for New Century Excellent Talents in University [NCET-08-0345]
- Science and Technology Planning Project of Guangdong Province, China [2010B010600034, 2012B091100192]
- Business Intelligence Key Team of Guangdong University of Foreign Studies [TD1202]
- Doctor Funding of Southwest University [SWU110021]
Supplier selection is an important issue in supply chain management (SCM), and essentially is a multi-criteria decision-making problem. Supplier selection highly depends on experts' assessments. In the process of that, it inevitably involves various types of uncertainty such as imprecision, fuzziness and incompleteness due to the inability of human being's subjective judgment. However, the existing methods cannot adequately handle these types of uncertainties. In this paper, based on a new effective and feasible representation of uncertain information, called D numbers, a D-AHP method is proposed for the supplier selection problem, which extends the classical analytic hierarchy process (AHP) method. Within the proposed method, D numbers extended fuzzy preference relation has been involved to represent the decision matrix of pairwise comparisons given by experts. An illustrative example is presented to demonstrate the effectiveness of the proposed method. (C) 2013 Elsevier Ltd. All rights reserved.
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