Fuzzy Stochastic Data Envelopment Analysis with Undesirable Outputs and its Application to Banking Industry

Nasseri, Seyed Hadi; Ebrahimnejad, Ali; Gholami, Omid

doi:10.1007/s40815-017-0367-1

Cited by 43 publications

(15 citation statements)

References 62 publications

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“…DEA, which is a relative performance measurement tool,19 is widely used in assessing health efficiency. However, the studies that use FDEA are more limited 3,20-22. Most studies using FDEA in healthcare were carried out in micro form at the healthcare institution level such as hospital or clinical units.…”

Section: Discussionmentioning

confidence: 99%

Examination of differences in health indicators between efficient and inefficient countries

Yeşilaydın

2019

Pak J Med Sci

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Objective: This study determined whether there is a statistically significant difference between efficient and inefficient Organization for Economic Co-operation and Development (OECD) countries in terms of health indicators using fuzzy data envelopment analysis (FDEA). Methods: In the study, FDEA was performed with three input variables directly affecting health, four environmental factors considered to indirectly affect health, and two output variables. Literature research was used to determine appropriate variables. In FDEA, three different α-cut levels were used. The hypotheses regarding whether there was a statistically significant difference between efficient and inefficient countries in input and output variables were tested for all α-cut levels of upper bound efficiency values. Results: In terms of health indicators, 17 countries were efficient at α-cut 0 and 0.5. At α-cut 1, 18 countries were efficient. There was only a statistically significant difference between the efficient and inefficient countries in “the number of physicians.” Conclusion: This study shows the number of physicians was the most important determinant affecting the efficiency of a country’s healthcare system. Inefficient countries had a greater mean for number of physicians. Thus, inefficient countries consume more resources than efficient ones. How to cite this:Yesilaydin G. Examination of differences in health indicators between efficient and inefficient countries. Pak J Med Sci. 2019;35(1):---------. doi: https://doi.org/10.12669/pjms.35.1.255 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Section: Discussionmentioning

confidence: 99%

Examination of differences in health indicators between efficient and inefficient countries

Yeşilaydın

2019

Pak J Med Sci

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“…Puri and Yadav [ 30 ] and Nasseri et al [ 42 ] applied the fuzzy Data Envelopment Analysis (DEA) to detect the cost and revenue efficiency of Indian banks.…”

Section: Literature Reviewmentioning

confidence: 99%

Improving Service Quality of Wealth Management Bank for High-Net-Worth Customers During COVID-19: A Fuzzy-DEMATEL Approach

Lin

Chang

Huang

et al. 2021

Int. J. Fuzzy Syst.

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The 2019–2020 COVID-19 pandemic has caused an economic turndown and high volatility in the global financial markets. Determining the factors that influence services to high-net-worth customers who typically have large investments in the financial markets is important for wealth management banks. This study constructs a hybrid approach by integrating the fuzzy logic and Decision-making Trial and Evaluation Laboratory (DEMATEL) methods to identify the most influential criteria affecting the performance of wealth management banks in Taiwan during the 2019–2020 COVID-19 pandemic. Surveys and interviews are designed using four dimensions (bank performance, service quality, customer relationship, and COVID-19) and 16 criteria for 10 banking executives using fuzzy linguistic scales, to obtain their expert opinions. The results show the order of influence as being service quality, customer relationships, bank performance, and COVID-19. The most important criteria are customized investment information (in-service quality), switching behavior (in-customer relationship), fee income (in-bank performance), and the number of confirmed cases in the top five countries affected by COVID-19. The managerial implication is that wealth management banks should focus on improving their service quality. Banks may strive to provide a wide range of customized investment information and increase customers’ usage of personalized financial products and services. The results of this study will benefit bank managers in serving high-net-worth individuals during the crisis period.

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“…Several models with undesirable inputs and outputs have already been developed to address such conditions. The notable works carried out in this area include the studies of Chung et al [13], Ebrahimnejad [16], Färe et al [21] Jahanshahloo et al [29] Pathomsiri et al [47], Seiford et al [61], Nasseri et al [43], Ebrahimnjead et al [17,18]. Scheel et al [60] used the data transformation method to convert the undesirable elements to desirable elements while preserving the model linearity.…”

Section: Literature Reviewmentioning

confidence: 99%

Fuzzy data envelopment analysis in the presence of undesirable outputs with ideal points

Ebrahimnejad

Amani

2020

Complex Intell. Syst.

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Data envelopment analysis (DEA) is a prominent technique for evaluating relative efficiency of a set of entities called decision making units (DMUs) with homogeneous structures. In order to implement a comprehensive assessment, undesirable factors should be included in the efficiency analysis. The present study endeavors to propose a novel approach for solving DEA model in the presence of undesirable outputs in which all input/output data are represented by triangular fuzzy numbers. To this end, two virtual fuzzy DMUs called fuzzy ideal DMU (FIDMU) and fuzzy anti-ideal DMU (FADMU) are introduced into proposed fuzzy DEA framework. Then, a lexicographic approach is used to find the best and the worst fuzzy efficiencies of FIDMU and FADMU, respectively. Moreover, the resulting fuzzy efficiencies are used to measure the best and worst fuzzy relative efficiencies of DMUs to construct a fuzzy relative closeness index. To address the overall assessment, a new approach is proposed for ranking fuzzy relative closeness indexes based on which the DMUs are ranked. The developed framework greatly reduces the complexity of computation compared with commonly used existing methods in the literature. To validate the proposed methodology and proposed ranking method, a numerical example is illustrated and compared the results with an existing approach.

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Fuzzy Stochastic Data Envelopment Analysis with Undesirable Outputs and its Application to Banking Industry

Cited by 43 publications

References 62 publications

Examination of differences in health indicators between efficient and inefficient countries

Examination of differences in health indicators between efficient and inefficient countries

Improving Service Quality of Wealth Management Bank for High-Net-Worth Customers During COVID-19: A Fuzzy-DEMATEL Approach

Fuzzy data envelopment analysis in the presence of undesirable outputs with ideal points

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