2014
DOI: 10.12785/amis/080150
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Decision-Making through Uncertain Linguistic Information by Multi-attribute Group: Concerning Credit Guarantee Products Risk

Abstract: According to the complexity of credit guarantee products risk, a corresponding risk evaluation system is established here. And uncertain linguistic information is adopted to describe the attribute weight and attribute value of evaluation indicators, and thus a multi-attribute group decision-making model of uncertain linguistic information concerning credit guarantee products risks is established. ULWM and ULHA operators are respectively used in this paper to collect evaluation values of synthesized attribute a… Show more

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Cited by 3 publications
(4 citation statements)
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“…Second, for the operating mechanism, the research results are mainly reflected in the comparison and selection of operating models (Craig et al, 2007 ; Beck et al, 2010 ), and the construction of operating systems (Boschi et al, 2014 ; Halunko et al, 2018 ), which suggest that financing guarantee business is generally implemented through policy-oriented guarantee (Luo and Huang, 2017 ). Third, in order to ensure the stable operation of policy-oriented guarantee mechanism, scholars further explored the issue of guarantee risk, including risk assessment of guarantee products (Kim and Ahn, 1997 ; He and Weng, 2014 ), identification of risk factors in guarantee networks (Berkman et al, 2009 ; He et al, 2019 ), guarantee risk control mechanism (Jeon and Sohn, 2008 ; Huang et al, 2021 ).…”
Section: Literature Reviewmentioning
confidence: 99%
“…Second, for the operating mechanism, the research results are mainly reflected in the comparison and selection of operating models (Craig et al, 2007 ; Beck et al, 2010 ), and the construction of operating systems (Boschi et al, 2014 ; Halunko et al, 2018 ), which suggest that financing guarantee business is generally implemented through policy-oriented guarantee (Luo and Huang, 2017 ). Third, in order to ensure the stable operation of policy-oriented guarantee mechanism, scholars further explored the issue of guarantee risk, including risk assessment of guarantee products (Kim and Ahn, 1997 ; He and Weng, 2014 ), identification of risk factors in guarantee networks (Berkman et al, 2009 ; He et al, 2019 ), guarantee risk control mechanism (Jeon and Sohn, 2008 ; Huang et al, 2021 ).…”
Section: Literature Reviewmentioning
confidence: 99%
“…According to decision makers' psychological and behavioral characteristics of reference dependence, loss aversion, and diminishing sensitivity, based on prospect theory [24][25][26][27][28], the calculation method of comprehensive prospect value for each grade is given below.…”
Section: Calculation Of Each Trust Grade's Comprehensive Prospect Valuementioning
confidence: 99%
“…# are nonlinear weight function for "income" and "loss" respectively. According to articles [24][25][26][27][28], function…”
Section: Calculation Of Perceived Probability For Each Evaluation Trumentioning
confidence: 99%
“…On this basis, scholars further explored the risk management and operating benefits of financing guarantee institutions. In terms of risk management, most scholars focused on risk assessment of guarantee products [7][8], identification of risk factors in guarantee networks [9][10], guarantee risk control mechanism [11][12][13], etc. ; while a few scholars studied the risk diversification under the multi-agent cooperation mechanism.…”
Section: Introductionmentioning
confidence: 99%