A novel supplier selection method that integrates the intuitionistic fuzzy weighted averaging method and a soft set with imprecise data

被引:37
作者
Chang, Kuei-Hu [1 ]
机构
[1] ROC Mil Acad, Dept Management Sci, Kaohsiung 830, Taiwan
关键词
Supplier selection; Intuitionistic fuzzy set; Soft set; Multi-criteria decision making; Ordered weighted geometric averaging; GROUP DECISION-MAKING; OPERATOR; ALLOCATION; SYSTEM; AHP;
D O I
10.1007/s10479-017-2718-6
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
Along with advances in technology and the advent of the information age, supply chain competition will become the core strategy of enterprises that are in pursuit of a competitive advantage. Supplier selection and evaluation are key issues in the success of a competitive enterprise. Supplier selection for an enterprise is a typicalmulticriteria decision-making problemthat includes qualitative and quantitative criteria. However, some input information can be missing or nonexistent in selecting suppliers, rendering it more difficult to choose the best supplier. To this end, the traditional supplier selection approach does not consider the ordered weights of the values of attributes, causing biased conclusions. Moreover, there is a significant amount of fuzzy and intuitionistic fuzzy information in real-world situations, for which the traditional approach in choosing the best supplier becomes no longer applicable. To solve these issues, this study proposes a novel supplier selection method, integrating the intuitionistic fuzzy weighted averaging method and the soft set with imprecise data, in identifying the best supplier in a supply chain. To illustrate our proposed method, a numerical example of the supplier selection problem is adopted. This paper also compares the results of the fuzzy weighted averaging, intuitionistic fuzzy weighted averaging, and intuitionistic fuzzy dependent aggregation operator methods in dealing with missing or nonexistent data. Based on our results, the proposed method is reasonable, effective, and better reflects real-world situations with regard to supplier selection.
引用
收藏
页码:139 / 157
页数:19
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共 50 条
[1]   Some algebraic applications of soft sets [J].
Aktas, Haci .
APPLIED SOFT COMPUTING, 2015, 28 :327-331
[2]   On some new operations in soft set theory [J].
Ali, M. Irfan ;
Feng, Feng ;
Liu, Xiaoyan ;
Min, Won Keun ;
Shabir, M. .
COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2009, 57 (09) :1547-1553
[3]   Logic Connectives for Soft Sets and Fuzzy Soft Sets [J].
Ali, Muhammad Irfan ;
Shabir, Muhammad .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2014, 22 (06) :1431-1442
[4]  
[Anonymous], 1988, P IEEE 20 AS C SIGN
[5]  
[Anonymous], 1983, 169784 BULG AC SCI C
[6]   Global supplier development considering risk factors using fuzzy extended AHP-based approach [J].
Chan, Felix T. S. ;
Kumar, Niraj .
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 2007, 35 (04) :417-431
[7]   A novel reliability allocation approach using the OWA tree and soft set [J].
Chang, Kuei-Hu .
ANNALS OF OPERATIONS RESEARCH, 2016, 244 (01) :3-22
[8]   Integrating Soft Set Theory and Fuzzy Linguistic Model to Evaluate the Performance of Training Simulation Systems [J].
Chang, Kuei-Hu ;
Chang, Yung-Chia ;
Chain, Kai ;
Chung, Hsiang-Yu .
PLOS ONE, 2016, 11 (09)
[9]   Enhanced assessment of a supplier selection problem by integration of soft sets and hesitant fuzzy linguistic term set [J].
Chang, Kuei-Hu .
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE, 2015, 229 (09) :1635-1644
[10]   A more general risk assessment methodology using a soft set-based ranking technique [J].
Chang, Kuei-Hu .
SOFT COMPUTING, 2014, 18 (01) :169-183