A Novel Interval Type-2 Fuzzy CPT-TODIM Method for Multi-criteria Group Decision Making and Its Application to Credit Risk Assessment in Supply Chain Finance

doi:10.1007/s40815-024-01759-3

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	A Novel Interval Type-2 Fuzzy CPT-TODIM Method for Multi-criteria Group Decision Making and Its Application to Credit Risk Assessment in Supply Chain Finance
	Li, Wen 1,2; Wang, Luqi2 ; Rehman, Obaid Ur 1,2
	2024-08-17
在线发表日期	2024-08
发表期刊	INTERNATIONAL JOURNAL OF FUZZY SYSTEMS
摘要	The assessment of credit risk in supply chain finance (SCF) stands as a pivotal procedure in facilitating enterprises to identify appropriate financing solutions, reduce financing costs, enhance capital utilization efficiency, and mitigate the risk of debt default. Multi-criteria group decision-making (MCGDM), a systematic evaluation tool, is widely used for the assessment of both qualitative and quantitative criteria. However, the conventional framework of MCGDM exhibits limitations in addressing scenarios characterized by high uncertainty in risk information, disparity in weights among decision-makers (DMs) and criteria, alongside complex and non-linear risk perception. To address these limitations, this paper introduces an analytical model that integrates Interval Type-2 Fuzzy Sets (IT2FSs), Cumulative Prospect Theory (CPT), and the TODIM (an acronym from Portuguese for Interactive and Multicriteria Decision Making) method to evaluate credit risk in SCF. Firstly, the IT2FSs are utilized to represent high uncertainty in risk assessment information of DMs. Secondly, the Dice Similarity is applied to determine the weights of DMs. Then, we seek to improve the Criterion Importance Through Intercriteria Correlation (CRITIC) method by addressing its limitations and further integrating it with the Bayesian Best-Worst Method (BBWM), offering a robust computational framework of integrated weights for criteria. Finally, the CPT-TODIM method based on IT2FSs is applied in a real case from Ping An Bank. Through rigorous sensitivity and comparative analyses conducted within the real-world context of SCF credit risk assessments, the proposed model's theoretical robustness and practical applicability are emphatically validated.
关键词	Supply chain finance Interval type-2 fuzzy sets Multi-criteria group decision-making Cumulative prospect theory TODIM approach
DOI	10.1007/s40815-024-01759-3
收录类别	SCIE ; EI
ISSN	1562-2479
语种	英语
WOS研究方向	Automation & Control Systems ; Computer Science
WOS类目	Automation & Control Systems ; Computer Science, Artificial Intelligence ; Computer Science, Information Systems
WOS记录号	WOS:001291943500002
出版者	SPRINGER HEIDELBERG
EI入藏号	20243416905160
EI主题词	Fuzzy sets
EI分类号	1102.1 ; 1108 ; 1201 ; 1201.8 ; 1202 ; 911.2 Industrial Economics ; 912.2 Management ; 914.1 Accidents and Accident Prevention ; 971 Social Sciences
原始文献类型	Article ; Early Access
EISSN	2199-3211
引用统计	被引频次[WOS]：0 [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.lzufe.edu.cn/handle/39EH0E1M/37659
专题	金融学院
通讯作者	Li, Wen
作者单位	1.Lanzhou Univ Finance & Econ, Econ Res Inst Belt & Rd Initiat, Lanzhou 730020, Gansu, Peoples R China; 2.Lanzhou Univ Finance & Econ, Sch Finance, Lanzhou 730020, Peoples R China
第一作者单位	兰州财经大学
通讯作者单位	兰州财经大学
推荐引用方式 GB/T 7714	Li, Wen,Wang, Luqi,Rehman, Obaid Ur. A Novel Interval Type-2 Fuzzy CPT-TODIM Method for Multi-criteria Group Decision Making and Its Application to Credit Risk Assessment in Supply Chain Finance[J]. INTERNATIONAL JOURNAL OF FUZZY SYSTEMS,2024.
APA	Li, Wen,Wang, Luqi,&Rehman, Obaid Ur.(2024).A Novel Interval Type-2 Fuzzy CPT-TODIM Method for Multi-criteria Group Decision Making and Its Application to Credit Risk Assessment in Supply Chain Finance.INTERNATIONAL JOURNAL OF FUZZY SYSTEMS.
MLA	Li, Wen,et al."A Novel Interval Type-2 Fuzzy CPT-TODIM Method for Multi-criteria Group Decision Making and Its Application to Credit Risk Assessment in Supply Chain Finance".INTERNATIONAL JOURNAL OF FUZZY SYSTEMS (2024).