Research on the financial risk evaluation of listed companies with intuitionistic fuzzy information

被引:3
作者
Lv, Wendai [1 ]
Guo, Meng [2 ]
机构
[1] Kunming Univ Sci & Technol, Kunming 650000, Peoples R China
[2] Beijing Jiaotong Univ, Beijing, Peoples R China
关键词
Multiple attribute decision making; intuitionistic fuzzy numbers; intuitionistic fuzzy Hamacher power weighted geometric (IFHPWG) operator; financial risk evaluation; listed companies; POWER AGGREGATION OPERATORS; ATTRIBUTE DECISION-MAKING; ARCHIMEDEAN T-CONORM; MODELS; CALCULUS; SETS;
D O I
10.3233/JIFS-16389
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
With the improvement of china's market economy, all kinds of potential risks appear at the same time, when many listed corporations will enjoy the market economic environment brings infinite development opportunities. They may be under Special treatment at anytime, because of the financial crisis. In order to be advance to prevent the occurrence of the risks, it is necessary to predict the financial risk, timely understanding of the financial situation of the enterprise, and avoid the potential cause financial risk factors of enterprise. It is very important for the long-term and stable development of enterprises. In this paper, we introduce some operations on the intuitionistic fuzzy sets, and further develop the intuitionistic fuzzy Hamacher power weighted geometric (IFHPWG) operator. Then, we investigate several desirable properties of IFHPWG operator, e.g. idempotency, boundedness and monotonicity. Then, we apply the intuitionistic fuzzy Hamacher power weighted geometric (IFHPWG) to solve the multiple attribute decision making with intuitionistic fuzzy information. Finally, an example for financial risk evaluation of listed companies is proposed to test the effectiveness of the proposed method.
引用
收藏
页码:4379 / 4387
页数:9
相关论文
共 60 条
[1]  
[Anonymous], 1991, Monographs on Statistics and Applied Probability
[2]   MORE ON INTUITIONISTIC FUZZY-SETS [J].
ATANASSOV, KT .
FUZZY SETS AND SYSTEMS, 1989, 33 (01) :37-45
[3]   INTUITIONISTIC FUZZY-SETS [J].
ATANASSOV, KT .
FUZZY SETS AND SYSTEMS, 1986, 20 (01) :87-96
[4]   MULTILINEAR FORMS AND MEASURES OF DEPENDENCE BETWEEN RANDOM-VARIABLES [J].
BRADLEY, RC ;
BRYC, W .
JOURNAL OF MULTIVARIATE ANALYSIS, 1985, 16 (03) :335-367
[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]   Ambiguity, risk, and asset returns in continuous time [J].
Chen, ZJ ;
Epstein, L .
ECONOMETRICA, 2002, 70 (04) :1403-1443
[7]  
Darvishi S., 2015, APPL MATH, V6, P990, DOI DOI 10.4236/am.2015.66091
[8]   Backward stochastic differential equations in finance [J].
El Karoui, N ;
Peng, S ;
Quenez, MC .
MATHEMATICAL FINANCE, 1997, 7 (01) :1-71
[9]  
Follmer H., 2004, STAT FINANCE INTRO D
[10]   The optimal priority models of the intuitionistic fuzzy preference relation and their application in selecting industries with higher meteorological sensitivity [J].
Gong, Zai-Wu ;
Li, Lian-Shui ;
Forrest, Jeffrey ;
Zhao, Yue .
EXPERT SYSTEMS WITH APPLICATIONS, 2011, 38 (04) :4394-4402