The integrated prospect theory with consensus model for risk analysis of human error factors in the clinical use of medical devices

Zheng, Qiaohong; Liu, Xinwang; Wang, Weizhong; Wu, Qun; Deveci, Muhammet; Pamučar, Dragan

doi:10.1016/j.eswa.2023.119507

Cited by 19 publications

(2 citation statements)

References 72 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Zheng created models to analyze the interactions between local governments and producers of new energy vehicles based on prospect theory, and then investigated the effects of various initial values on the game's evolutionary outcomes (Zheng et al, 2023). Wang proposed an evolutionary game model based on prospect theory to address the issue of building infrastructure for electric vehicle charging (Wang et al, 2022a(Wang et al, , 2022b.…”

Section: Prospect Theory and The Perceived Valuementioning

confidence: 99%

Key stakeholder perceived value’s influence on autonomous vehicles’ privacy and security governance – an evolutionary analysis based on the prospect theory

Lu,

Xin

2024

APJIE

View full text Add to dashboard Cite

Purpose The promotion of autonomous vehicles introduces privacy and security risks, underscoring the pressing need for responsible innovation implementation. To more effectively address the societal risks posed by autonomous vehicles, considering collaborative engagement of key stakeholders is essential. This study aims to provide insights into the governance of potential privacy and security issues in the innovation of autonomous driving technology by analyzing the micro-level decision-making processes of various stakeholders. Design/methodology/approach For this study, the authors use a nuanced approach, integrating key stakeholder theory, perceived value theory and prospect theory. The study constructs a model based on evolutionary game for the privacy and security governance mechanism of autonomous vehicles, involving enterprises, governments and consumers. Findings The governance of privacy and security in autonomous driving technology is influenced by key stakeholders’ decision-making behaviors and pivotal factors such as perceived value factors. The study finds that the governmental is influenced to a lesser extent by the decisions of other stakeholders, and factors such as risk preference coefficient, which contribute to perceived value, have a more significant influence than appearance factors like participation costs. Research limitations/implications This study lacks an investigation into the risk sensitivity of various stakeholders in different scenarios. Originality/value The study delineates the roles and behaviors of key stakeholders and contributes valuable insights toward addressing pertinent risk concerns within the governance of autonomous vehicles. Through the study, the practical application of Responsible Innovation theory has been enriched, addressing the shortcomings in the analysis of micro-level processes within the framework of evolutionary game.

show abstract

Section: Prospect Theory and The Perceived Valuementioning

confidence: 99%

Key stakeholder perceived value’s influence on autonomous vehicles’ privacy and security governance – an evolutionary analysis based on the prospect theory

Lu,

Xin

2024

APJIE

View full text Add to dashboard Cite

show abstract

“…Considering that the ORESTE method is an excellent ranking technique, it was developed within fuzzy environments to address a variety of evaluation information [29,30], such as linguistic Z-number [31], interval type 2 fuzzy information [32], double hierarchy hesitant fuzzy linguistic information [33], interval 2-Tuple linguistic [34], and probabilistic uncertain linguistic [35].…”

Section: Introductionmentioning

confidence: 99%

Multi-criteria decision-making based on the combination of interval-valued hesitant fuzzy information and ORESTE method

Li,

Niu,

Chen

et al. 2024

Preprint

View full text Add to dashboard Cite

As an important extension of hesitant fuzzy sets, interval-valued hesitant fuzzy sets (IVHFSs) show the flexibility of decision makers (DMs) in expressing hesitant information. Accordingly, numerous research findings have been provided since the introduction of IVHFSs. However, a few important issues in IVHFS utilization remain to be addressed. To do this, this study introduces a multi-criteria decision-making (MCDM) method based on the combination of interval-valued hesitant fuzzy information and the method of the French organization Rangement et Synthese de Ronnees Relationnelles (ORESTE). First, the shortcomings of generalized normalized Hamming distance for interval-valued hesitant fuzzy elements (IVHFEs) in previous studies are discussed. Subsequently, several novel distance measures and a possibility degree formula are developed. Meanwhile, the proofs of the properties are provided to illustrate the effectiveness of the proposed distance measures and possibility degree formula. Second, an MCDM method based on the combination of interval-valued hesitant fuzzy information and the ORESTE method is developed. Lastly, an MCDM problem of identifying the optimal bidding schemeis presented to demonstrate the effectiveness of the proposed method. Acomparative study with other methods is conducted with an identical illustrative example.

show abstract

Projection based regret theory on three-way decision model in probabilistic interval-valued q-rung orthopair hesitant fuzzy set and its application to medicine company

Giri,

Roy,

Deveci

2023

Artif Intell Rev

View full text Add to dashboard Cite

The integrated prospect theory with consensus model for risk analysis of human error factors in the clinical use of medical devices

Cited by 19 publications

References 72 publications

Key stakeholder perceived value’s influence on autonomous vehicles’ privacy and security governance – an evolutionary analysis based on the prospect theory

Key stakeholder perceived value’s influence on autonomous vehicles’ privacy and security governance – an evolutionary analysis based on the prospect theory

Multi-criteria decision-making based on the combination of interval-valued hesitant fuzzy information and ORESTE method

Projection based regret theory on three-way decision model in probabilistic interval-valued q-rung orthopair hesitant fuzzy set and its application to medicine company

Contact Info

Product

Resources

About