Cross-efficiency evaluation in data envelopment analysis based on prospect theory

Liu, Huihui; Song, Yao-yao; Yang, Guo-liang

doi:10.1016/j.ejor.2018.07.046

Cited by 144 publications

(51 citation statements)

References 44 publications

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“…Król et al [60] evaluated the sustainability of maize cultivation based on prospect theory. Liu et al [61] investigated the cross-efficiency evaluation in data envelopment analysis based on prospect theory.…”

Section: Comprehensive Evaluation Methods Under Prospect Theorymentioning

confidence: 99%

A Comprehensive Evaluation Model for Curtain Grouting Efficiency Assessment Based on Prospect Theory and Interval-Valued Intuitionistic Fuzzy Sets Extended by Improved D Numbers

et al. 2019

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Grouting-efficiency evaluation is a key element in grouting-construction control. However, most existing grouting-efficiency evaluation models do not consider the hesitation and bounded rationality of experts and have difficulty in handling the problem of incomplete decision-making information generated by experts. Furthermore, the diversity of the evaluation indicators used can be further improved. This study conducts a comprehensive evaluation model to address these problems. An objective and reasonable fuzzy evaluation method is demonstrated through the integration of interval-valued intuitionistic fuzzy sets, prospect theory, and improved D numbers. The secondary permeability index is introduced to establish a more scientific evaluation indicator system. The proposed model is implemented in evaluating the curtain-grouting efficiency of a hydropower station, and its consistency, representativeness, and superiority are validated and analyzed.

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Section: Comprehensive Evaluation Methods Under Prospect Theorymentioning

confidence: 99%

A Comprehensive Evaluation Model for Curtain Grouting Efficiency Assessment Based on Prospect Theory and Interval-Valued Intuitionistic Fuzzy Sets Extended by Improved D Numbers

et al. 2019

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“…Prospect theory divides the risk decision-making process into two stages: editing and evaluation. In the editing stage, decision makers collect and process information according to frame and reference point; in the evaluation stage, decision makers make decisions based on value function and weighting function [38,39]. Therefore, the prospect value function ( ) and the probability weight function ( )will influence the prospect value together, the prospect value can be expressed by the following formula： U = ∑ ( ) ( ).…”

Section: Theory Briefmentioning

confidence: 99%

Evaluation of the Effect of New Health Reform Policy of China Based on Prospect Theory

Guan

Zhe

2020

Preprint

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Background: New health reform policy of China has gone through more than ten years from 2009 to 2019, it has come a critical period. It is important to evaluate the effect of health system reform policy, but there are a few existing studies and the researchers have not considered the impact of psychological factors on person decision-making. This study using the prospect theory can overcome this defect. Let the evaluation of the effect of new medical reform policy of China more scientific and reasonable. Methods: Data on the effect of the new health reform from China Health Statistics Yearbook and National Bureau of Statistics of China were obtained. And the indicators were selected by Corrected Item Total Correlation and Cronbach’s α reliability coefficient. The selected indicator data were calculated by the prospect theory model. Meanwhile the gray relation analysis method is introduced to enlarge the difference between the advantages and disadvantages to making the comprehensive evaluation result more obvious. Results: The results of comprehensive evaluation of the effects of health reform policies in China fluctuated from 2000 to 2017. From 2000 to 2004, the fluctuation range of the comprehensive prospect value is large; from 2004 to 2009, the comprehensive prospect value shows a slow downward trend; from 2009 to 2012, the comprehensive prospect value has decreased slightly, and then it has rebounded substantially; from 2012 to 2014, the comprehensive prospect value is stable; and from 2014 to 2017, the comprehensive prospect value is declining. Conclusions: This study showed that the implementation of new health reform policy of China has a significant impact on China's medical and health system. The new health reform advanced hard in exploration. It is worth affirming that the overall goal and direction of the new health reform are correct, but the practice is unsatisfactory. The releasing and implementation of supporting policy have the important influence on the progress of the new health reform. And the effect of the policy will decrease with the increase of the total amount. Therefore, scientific and effective late management can ensure that the policy continues to play its role.

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“…Then, DEA is applied to find the most efficient solutions. DEA is used to compare and evaluate the relative efficiency of similar units with the same responsibilities [18]. It is widely used to solve multi-criteria problems in economic and management, including the evaluation of hospital services performance and supply chain of a shipping company [19,20].…”

Section: Introductionmentioning

confidence: 99%

Designing a risk-adjusted CUSUM control chart based on DEA and NSGA-II approaches (a case study in healthcare: Cardiovascular patients)

Rafiei

Asadzadeh

2020

Scientia Iranica

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Researchers have recently devoted a lot of attention to the development of control charts for monitoring healthcare systems. Accordingly, the purpose of this paper is to design a risk-adjusted cumulative sum (CUSUM) control chart to detect decreasing shifts. The proposed chart is used to monitor the survival times of patients who may be subject to an assignable cause such as human mistakes during a surgery. To this end, risk adjustment is performed to consider the impact of each patient's preoperative risks on survival times using survival analysis regression models. However, using the risk-adjusted CUSUM requires that the chart parameters are determined. Hence, a multi-objective economic-statistical model is proposed and a two-stage solution method including non-dominated sorting genetic algorithm (NSGA-II) and Data Envelopment Analysis (DEA) is implemented to solve the model and obtain the optimal design parameters. The performance of the proposed approach is also studied in a real cardiac surgery center. Finally, to confirm the effectiveness of the proposed multi-objective design, two comparisons with the bi-objective and pure economic designs are made. The results show that the performance of the risk-adjusted CUSUM obtained from the proposed model is better than the two other designs considering statistical and economic properties.

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Cross-efficiency evaluation in data envelopment analysis based on prospect theory

Cited by 144 publications

References 44 publications

A Comprehensive Evaluation Model for Curtain Grouting Efficiency Assessment Based on Prospect Theory and Interval-Valued Intuitionistic Fuzzy Sets Extended by Improved D Numbers

A Comprehensive Evaluation Model for Curtain Grouting Efficiency Assessment Based on Prospect Theory and Interval-Valued Intuitionistic Fuzzy Sets Extended by Improved D Numbers

Evaluation of the Effect of New Health Reform Policy of China Based on Prospect Theory

Designing a risk-adjusted CUSUM control chart based on DEA and NSGA-II approaches (a case study in healthcare: Cardiovascular patients)

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