Supplier selection using AHP methodology extended by D numbers
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 beings subjective judgment.However, the existing methods cant 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.
Supplier selection D numbers D-AHP Analytic hierarchy process Fuzzy preference relation
Xinyang Deng Yong Hu Yong Deng Sankaran Mahadevan
School of Computer and Information Science, Southwest University, Chongqing, 400715, China Institute of Business Intelligence and Knowledge Discovery, Guangdong University of Foreign Studies, School of Computer and Information Science, Southwest University, Chongqing, 400715, China;Departmen Department of Civil and Environmental Engineering, School of Engineering, Vanderbilt University, Nas
国际会议
昆明
英文
1-25
2014-05-01（万方平台首次上网日期，不代表论文的发表时间）