Pythagorean 2-Tuple Linguistic Taxonomy Method for Supplier Selection in Medical Instrument Industries

被引:60
作者
He, Tingting [1 ]
Wei, Guiwu [1 ]
Lu, Jianping [1 ]
Wei, Cun [2 ]
Lin, Rui [3 ]
机构
[1] Sichuan Normal Univ, Sch Business, Chengdu 610101, Peoples R China
[2] Southwestern Univ Finance & Econ, Sch Stat, Chengdu 611130, Peoples R China
[3] Chongqing Univ Arts & Sci, Sch Econ & Management, Chongqing 402160, Peoples R China
基金
中国国家自然科学基金;
关键词
multiple attribute group decision making (MAGDM); Pythagorean 2-tuple linguistic numbers (P2TLNs); Taxonomy method; supplier selection; medical instrument industries; ATTRIBUTE DECISION-MAKING; MUIRHEAD MEAN OPERATORS; TODIM METHOD; RISK-ASSESSMENT; FUZZY-SETS; MODEL; EXTENSION; APPRAISAL; TOPSIS;
D O I
10.3390/ijerph16234875
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Supplier selection in medical instrument industries is a classical multiple attribute group decision making (MAGDM) problem. The Pythagorean 2-tuple linguistic sets (P2TLSs) can reflect uncertain or fuzzy information well and solve the supplier selection in medical instrument industries, and the original Taxonomy is very appropriate for comparing different alternatives with respect to their advantages from studied attributes. In this study, we present an algorithm that combines Pythagorean 2-tuple linguistic numbers (P2TLNs) with the Taxonomy method, where P2TLNs are applied to express the evaluation of decision makers on alternatives. Relying on the Pythagorean 2-tuple linguistic weighted average (P2TLWA) operator or Pythagorean 2-tuple linguistic weighted geometric (P2TLWG) operator to fuse P2TLNs, the new general framework is established for Pythagorean 2-tuple linguistic multiple attribute group decision making (MAGDM) under the classical Taxonomy method. Ultimately, an application case for supplier selection in medical instrument industries is designed to test the novel method's applicability and practicality and a comparative analysis with three other methods is used to elaborate further.
引用
收藏
页数:14
相关论文
共 50 条
[1]  
Alinezhad A., 2019, INT SER OPER RES MAN, V277, P59
[2]   INTUITIONISTIC FUZZY-SETS [J].
ATANASSOV, KT .
FUZZY SETS AND SYSTEMS, 1986, 20 (01) :87-96
[3]  
Bienkowska W, 2013, ECON SCI RURAL DEV, P26
[4]   Pythagorean fuzzy CODAS and its application to supplier selection in a manufacturing firm [J].
Bolturk, Eda .
JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT, 2018, 31 (04) :550-564
[5]   Remoteness index-based Pythagorean fuzzy VIKOR methods with a generalized distance measure for multiple criteria decision analysis [J].
Chen, Ting-Yu .
INFORMATION FUSION, 2018, 41 :129-150
[6]   TODIM method for multiple attribute decision making with 2-tuple linguistic pythagorean fuzzy information [J].
Deng, Xiumei ;
Gao, Hui .
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2019, 37 (02) :1769-1780
[7]   Some 2-tuple linguistic Pythagorean Heronian mean operators and their application to multiple attribute decision-making [J].
Deng, Xiumei ;
Wang, Jie ;
Wei, Guiwu .
JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE, 2019, 31 (04) :555-574
[8]  
He T., MATHEMATICS, V11, P1149
[9]   Pythagorean 2-Tuple Linguistic VIKOR Method for Evaluating Human Factors in Construction Project Management [J].
He, Tingting ;
Wei, Guiwu ;
Lu, Jianping ;
Wei, Cun ;
Lin, Rui .
MATHEMATICS, 2019, 7 (12)
[10]  
Hellwig Z., 1968, STAT REV, P307