A Novel Similarity-Based Multi-Attribute Group Decision-Making Method in a Probabilistic Hesitant Fuzzy Environment

doi:10.1109/ACCESS.2022.3215232

	A Novel Similarity-Based Multi-Attribute Group Decision-Making Method in a Probabilistic Hesitant Fuzzy Environment
	Hu, Yubo; Pang, Zhiqiang
	2022
发表期刊	IEEE Access
卷号	10 页码:110410-110425
摘要	Probabilistic hesitant fuzzy sets (PHFSs), a significant expansion of hesitant fuzzy sets (HFSs), were suggested and intensively explored in order to address the problem of missing preference information. Based on previous research on PHFS, we discovered that there are still unresolved issues in the probabilistic hesitant fuzzy environment, such as (i) the similarity between probabilistic hesitant fuzzy elements (PHFEs) has not been studied, (ii) in the study of entropy, the uncertainty resulting from the inner hesitancy of decision makers (DMs) has been neglected; in addition, DMs may obtain different decision results by using different entropy formulas; (iii) the relationship between the similarity and entropy of PHFE has not been researched, and (iv) there is no multi-attribute group decision-making (MAGDM) method that uses similarity in a probabilistic hesitant fuzzy environment. In order to address the aforementioned issues, in this study, we attempt to incorporate similarity into a probabilistic hesitant fuzzy environment and offer a novel similarity-based MAGDM method. First, we define the similarity in probabilistic hesitant fuzzy environments and present some similarity formulas. Furthermore, considering the limitations of entropy presented by other researchers, we redefine the entropy of PHFEs and discuss the relationship between similarity and entropy in probabilistic hesitant fuzzy settings for the first time. Based on the similarity measure and entropy, we offer a new method for MAGDM with unknown attribute weights, which can be effectively applied to the assessment of small and medium-sized enterprises' (SMEs) credit risk. Finally, we demonstrated the effectiveness and robustness of the proposed decision-making process. © 2013 IEEE.
关键词	Entropy Fuzzy sets Probabilistic logics Risk assessment Robustness (control systems) Weighing Decisions makings Hesitant fuzzy sets Multi criteria decision-making Multicriteria decision-making Multicriterion decision makings Probabilistic hesitant fuzzy set Probabilistics Robustness Similarity
DOI	10.1109/ACCESS.2022.3215232
收录类别	EI ; SCIE
ISSN	2169-3536
语种	英语
WOS研究方向	Computer Science ; Engineering ; Telecommunications
WOS类目	Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS记录号	WOS:000873998600001
出版者	Institute of Electrical and Electronics Engineers Inc.
EI入藏号	20224413034346
EI主题词	Decision making
EI分类号	641.1 Thermodynamics ; 721.1 Computer Theory, Includes Formal Logic, Automata Theory, Switching Theory, Programming Theory ; 731.1 Control Systems ; 912.2 Management ; 914.1 Accidents and Accident Prevention ; 943.3 Special Purpose Instruments
原始文献类型	Journal article (JA)
EISSN	2169-3536
引用统计	被引频次：4[WOS] [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/33200
专题	统计与数据科学学院图书馆
作者单位	Lanzhou University of Finance and Economics, School of Statistics, Lanzhou; 730020, China
第一作者单位	统计与数据科学学院
推荐引用方式 GB/T 7714	Hu, Yubo,Pang, Zhiqiang. A Novel Similarity-Based Multi-Attribute Group Decision-Making Method in a Probabilistic Hesitant Fuzzy Environment[J]. IEEE Access,2022,10:110410-110425.
APA	Hu, Yubo,&Pang, Zhiqiang.(2022).A Novel Similarity-Based Multi-Attribute Group Decision-Making Method in a Probabilistic Hesitant Fuzzy Environment.IEEE Access,10,110410-110425.
MLA	Hu, Yubo,et al."A Novel Similarity-Based Multi-Attribute Group Decision-Making Method in a Probabilistic Hesitant Fuzzy Environment".IEEE Access 10(2022):110410-110425.