D-ANP: a multiple criteria decision making method for supplier selection

被引:17
|
作者
Fei, Liguo [1 ]
机构
[1] Harbin Inst Technol, Sch Management, Harbin 150001, Peoples R China
基金
中国国家自然科学基金;
关键词
D numbers; Dempster-Shafer theory; Analytic Network Process (ANP); MCDM; Supplier selection; PERSONALIZED INDIVIDUAL SEMANTICS; ANALYTIC NETWORK PROCESS; D NUMBERS; DIVERGENCE MEASURE; PREFERENCE RELATIONS; CONSENSUS MODEL; HESITANT FUZZY; FAILURE MODE; PRIORITIZATION; INFORMATION;
D O I
10.1007/s10489-020-01639-x
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Supplier selection can be regarded as a classic multiple criteria decision making (MCDM) problem. To a great extent, experts' evaluations play a decisive role in the decision-making process. There will inevitable exist a variety of indefinite factors, which result from imprecision, uncertainty, and fuzziness due to the subjective judgment of human beings. As an effective tool to express uncertain information, the theory of D numbers performs better in comparison to other existing methods. In addition to that, analytic network process (ANP) method is applied more broadly for its advantages of flexibility, rationality and creditability than analytic hierarchy process (AHP) method. In this study, the D-ANP methodology is proposed to apply in the field of supplier selection, which is the extension of the traditional ANP method using D numbers. The validity of the presented methodology is illustrated by an application for supplier selection.
引用
收藏
页码:2537 / 2554
页数:18
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