Supplier evaluation and categorize with combine Fuzzy Dematel and Fuzzy Inference System

被引:6
|
作者
Ashtarinezhad, Elahe [1 ]
Sarfaraz, Amir Homayoon [1 ]
Navabakhsh, Mehrzad [1 ]
机构
[1] Islamic Azad Univ, Tehran South Branch, Fac Ind Engn, Tehran, Iran
来源
DATA IN BRIEF | 2018年 / 18卷
关键词
D O I
10.1016/j.dib.2018.03.077
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Nowadays, the evaluation of the suppliers in order to improve the total performance of supply chain and increase the power of competitiveness, satisfaction and profitability of the company are considered important and significant issues at the organizations. The main objective of this research is to help oil and gas industry in order to evaluate and categorize the suppliers, using Fuzzy Inference System. The present research is empirical in terms of purpose and descriptive-survey in terms of data collection. Three outstanding managers of procurement department of the company under examination have been selected. With regard to the fact that, the number of identified Sub-indices to categorize the suppliers are too many in relevant literature, the Fuzzy Dematel method was used to determine the weight and importance of each of the Sub-indices suppliers. In the present paper, for evaluate and categorize the suppliers has been used from Fuzzy Inference System, with MATLAB Software. (C) 2018 Published by Elsevier Inc.
引用
收藏
页码:1149 / 1156
页数:8
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