Developing a Hybrid Approach to Credit Priority based on Accounting Variables (Using Analytical Network Process (ANP) and Multi-Criteria Decision-Making)

被引:0
|
作者
Bakhshi, Mohammad [1 ]
Yaghoobnezhad, Ahmad [2 ]
Maram, Hashem Nikoo [1 ]
机构
[1] Islamic Azad Univ, Fac Management & Econ, Dept Accounting, Sci & Res Branch, Tehran, Iran
[2] Islamic Azad Univ, Fac Econ & Accounting, Dept Accounting, Cent Tehran Branch, Tehran, Iran
关键词
Credit Rating; Hybrid Method; Network Analysis; Financial Ratios; COPRAS and DEMATEL decision making technique; DEMATEL;
D O I
10.22075/IJNAA.2021.4759
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
For the purpose of developing capital markets, performance evaluation is one of the most important debates for shareholders, creditors, governments and managers. Investors also are inclined how successful managers are in utilizing their capital. to know the progress process of managers in using their capital. Credit rating plays a crucial role in the money and capital markets and indicates an independent opinion on the company's ability to meet all the obligations in a timely and comprehensive manner. As most rating agencies do not disclose the method used and the methods provided for credit rating of companies in previous researches are mostly based on statistical methods and are relatively complex, in the present study, companies are ranked based on ratios regarding the information contained in financial statements, which are called accounting variables. These ratios are classified into 5 groups of profitability, growth and development, activity, leverage , liquidity, and the ratios related to each group. The survey results were collected using a questionnaire to evaluate the effective weights of each attribute with Analytical Network Process (ANP) and DEMATEL Technique and then the ranking of companies was conducted using the COPRAS technique with Expert Choice software.
引用
收藏
页码:15 / 28
页数:14
相关论文
共 50 条
  • [31] Multiclass Classification Based on Multi-criteria Decision-making
    Baloochian, Hossein
    Ghaffary, Hamid Reza
    JOURNAL OF CLASSIFICATION, 2019, 36 (01) : 140 - 151
  • [32] Multi-Criteria Inventory Classification by Using a Fuzzy Analytic Network Process (ANP) Approach
    Kiris, Safak
    INFORMATICA, 2013, 24 (02) : 199 - 217
  • [33] Multiclass Classification Based on Multi-criteria Decision-making
    Hossein Baloochian
    Hamid Reza Ghaffary
    Journal of Classification, 2019, 36 : 140 - 151
  • [34] Multi-Criteria Inventory Classification Based on Multi-Criteria Decision-Making (MCDM) Technique
    Rauf, Mudassar
    Guan, Zailin
    Sarfraz, Shoaib
    Mumtaz, Jabir
    Almaiman, Sulaiman
    Shehab, Essam
    Jahanzaib, Mirza
    ADVANCES IN MANUFACTURING TECHNOLOGY XXXII, 2018, 8 : 343 - 348
  • [35] Synergetic Application of Multi-Criteria Decision-Making Models to Credit Granting Decision Problems
    Garcia, Vicente
    Salvador Sanchez, J.
    Marques, Ana I.
    APPLIED SCIENCES-BASEL, 2019, 9 (23):
  • [36] A novel hybrid multi-criteria decision-making approach for offshore wind turbine selection
    Ma, Yuanxing
    Xu, Li
    Cai, Jingjing
    Cao, Jing
    Zhao, Fengfeng
    Zhang, Jiaying
    WIND ENGINEERING, 2021, 45 (05) : 1273 - 1295
  • [37] Evaluation of Open and Distance Education Websites: A Hybrid Multi-Criteria Decision-Making Approach
    Sahin, Yildiz
    Kulakli, Atik
    SYSTEMS, 2023, 11 (02):
  • [38] A Hybrid Fuzzy Multi-Criteria Decision-Making Approach for Mitigating Air Traffic Congestion
    Bongo, Miriam F.
    Ocampo, Lanndon A.
    2016 INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING, MANAGEMENT SCIENCE AND APPLICATIONS (ICIMSA), 2016,
  • [39] A HYBRID MULTI-CRITERIA DECISION-MAKING APPROACH TO ORDER NATURAL GAS CONSUMING COUNTRIES
    Girao, Ester Figueiredo
    Autran Monteiro Gomes, Luiz Flavio
    INDEPENDENT JOURNAL OF MANAGEMENT & PRODUCTION, 2021, 12 (02): : 691 - 710
  • [40] Novel Integrated Hybrid Multi-Criteria Decision-Making Approach for Logistics Performance Index
    Calik, Ahmet
    Erdebilli, Babek
    Ozdemir, Yavuz Selim
    TRANSPORTATION RESEARCH RECORD, 2023, 2677 (02) : 1392 - 1400