A hybrid model for supplier selection: integration of AHP and multi expression programming (MEP)

被引:56
|
作者
Fallahpour, Alireza [1 ]
Olugu, Ezutah Udoncy [1 ]
Musa, Siti Nurmaya [1 ]
机构
[1] Univ Malaya, Fac Engn, Dept Mech Engn, Kuala Lumpur, Malaysia
来源
NEURAL COMPUTING & APPLICATIONS | 2017年 / 28卷 / 03期
关键词
Supplier selection; Black box; Multi-expression programming; AHP; Supply chain management; MULTICRITERIA DECISION-MAKING; ARTIFICIAL NEURAL-NETWORK; DATA ENVELOPMENT ANALYSIS; FUZZY;
D O I
10.1007/s00521-015-2078-6
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Supplier evaluation and selection is a complicated process which deals with conflicting attributes such as quality, cost. To mitigate the computational complexity, intelligent-based techniques have gained much popularity. But the main shortcoming of the existing models in this regard is to be a black box system. In this paper, we aim to combine analytical hierarchy process with multi-expression programming to both introduce a new evolutionary approach in the field of supplier evaluation and selection and cope with the earlier problem. To show the validity of the model, statistical test was carried out. The finding showed that the proposed model is accurate and acceptable for using in the evaluation process.
引用
收藏
页码:499 / 504
页数:6
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