Evaluation and analysis on core competitiveness of China cotton textile enterprises with intuitionistic fuzzy information

被引:3
作者
Zhao, Xiqing [1 ,2 ]
机构
[1] Tianjin Polytech Univ, Sch Cotton Text, Tianjin, Peoples R China
[2] Hebei North Univ, Coll Informat Sci & Engn, Zhangjiakou, Hebei, Peoples R China
关键词
Multiple attribute decision making (MADM); intuitionisitc fuzzy information; intuitionistic fuzzy bonferroni mean (IFBM) operator; core competitiveness; China cotton textile enterprises; HAMACHER AGGREGATION OPERATORS; ATTRIBUTE DECISION-MAKING; MEAN OPERATORS; MADM;
D O I
10.3233/KES-190394
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The core competence, which is the new development of strategy government theory, is able to bring about differential competitive advantages. The innovation is the progressive soul of a nation, the inexhaustible motive force of a country's boom. The discussion plays an important part in the sustainable development of corporations in theory and in practice in the way of integrating technological innovation into the core competence of enterprises. The textile industry, which is China's traditional industry, plays a decisive role in the development of economy and society. Then, we investigate the multiple attribute decision making (MADM) problems for evaluating the core competitiveness of China's cotton textile enterprises with intuitionistic fuzzy information. We utilize the intuitionistic fuzzy Bonferroni mean (IFBM) operator to aggregate the intuitionistic fuzzy information, then rank the alternatives and select the most desirable one(s) according to the score function and accuracy function. Finally an illustrative example has been given to show the developed approach.
引用
收藏
页码:9 / 13
页数:5
相关论文
共 41 条
[1]   Novel intuitionistic fuzzy soft multiple-attribute decision-making methods [J].
Akram, Muhammad ;
Shahzadi, Sundas .
NEURAL COMPUTING & APPLICATIONS, 2018, 29 (07) :435-447
[2]   The Complex Neutrosophic Soft Expert Relation and Its Multiple Attribute Decision-Making Method [J].
Al-Quran, Ashraf ;
Hassan, Nasruddin .
ENTROPY, 2018, 20 (02)
[3]   MORE ON INTUITIONISTIC FUZZY-SETS [J].
ATANASSOV, KT .
FUZZY SETS AND SYSTEMS, 1989, 33 (01) :37-45
[4]  
Bonferroni C., 1950, Boll. Unione Mat. Ital., V5, P267
[5]   HANDLING MULTICRITERIA FUZZY DECISION-MAKING PROBLEMS BASED ON VAGUE SET-THEORY [J].
CHEN, SM ;
TAN, JM .
FUZZY SETS AND SYSTEMS, 1994, 67 (02) :163-172
[6]   Ordered Weighted Hesitant Fuzzy Information Fusion-Based Approach to Multiple Attribute Decision Making with Probabilistic Linguistic Term Sets [J].
Farhadinia, Bahram ;
Xu, Zeshui .
FUNDAMENTA INFORMATICAE, 2018, 159 (04) :361-383
[7]   Some Novel Pythagorean Fuzzy Interaction Aggregation Operators in Multiple Attribute Decision Making [J].
Gao, Hui ;
Lu, Mao ;
Wei, Guiwu ;
Wei, Yu .
FUNDAMENTA INFORMATICAE, 2018, 159 (04) :385-428
[8]   Dual Hesitant Bipolar Fuzzy Hamacher Prioritized Aggregation Operators in Multiple Attribute Decision Making [J].
Gao, Hui ;
Wei, Guiwu ;
Huang, Yuhan .
IEEE ACCESS, 2018, 6 :11508-11522
[9]   Multicriteria fuzzy decision-making problems based on vague set theory [J].
Hong, DH ;
Choi, CH .
FUZZY SETS AND SYSTEMS, 2000, 114 (01) :103-113
[10]  
Huang H., 2011, AISADV INFORM SCI, V3, P121