Measuring the efficiency of hospitals: a fully-ranking DEA–FAHP approach

Rouyendegh, Babak Daneshvar; Oztekin, Asil; Ekong, Gladys; Dağ, Ali

doi:10.1007/s10479-016-2330-1

Cited by 71 publications

(44 citation statements)

References 30 publications

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“…In terms of other ranking methods, DEA was enhanced with fuzzy analytic hierarchy process (FAHP), where each decision maker makes a dual comparison of decision criteria and qualities and assigns each one a relative score [10]. In [11], socioeconomic ranking of the cities of Turkey was presented based on DEA and linear discriminant analysis (LDA), and the cities were compared to each other according to the socioeconomic development scores.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In [11], socioeconomic ranking of the cities of Turkey was presented based on DEA and linear discriminant analysis (LDA), and the cities were compared to each other according to the socioeconomic development scores. In order to achieve effective ranking, [10,11] try to introduce a new method into DEA. In this paper, we combine DEA and the Bayes theory to construct a new efficiency evaluation model.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Discrimination Prediction Expert required DEA [9] Poor No No DEA-FAHP [10] Poor No Yes LDA [11] Good . .…”

Section: Typesmentioning

confidence: 99%

“…For DEA [9], technology efficiency is used as a ranking indicator; the result is lack of obvious discrimination. In [10], through combining DEA and a fuzzy AHP, a multicriteria decision-making method is studied to measure the efficiency of hospitals. The method requires that a decision maker executes comparisons by pair; then, the pairwise comparison matrix and the eigenvector are determined to specify the importance of each factor in the decision.…”

Section: Typesmentioning

confidence: 99%

“…The method requires that a decision maker executes comparisons by pair; then, the pairwise comparison matrix and the eigenvector are determined to specify the importance of each factor in the decision. And the expert experiences are required in [10]. The empirical results show that there exist the same efficiency levels, and their ranking results cannot be distinguished.…”

Section: Typesmentioning

confidence: 99%

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Measuring Sustainable Development Efficiency of Urban Logistics Industry

Cao

2018

Mathematical Problems in Engineering

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Logistics plays a basic supporting role in the growth of national economy. However, tail gas, noise, and traffic congestion caused by logistics have a negative impact on the environment. An effective evaluation mechanism for sustainable development of urban logistics industry is necessary. Data envelopment analysis (DEA) is a common tool for efficiency evaluation. But, DEA has a limited effect on resource allocation in advance because it is ex-post evaluation. It requires input-output indications and the output is after-the-fact data. This defect is particularly prominent in the evaluation of ecological logistics because pollution indicators belong to ex-post output data that threaten the human environment. First prediction and then evaluation is a possible idea. In addition, DEA efficiency ranking does not have a good discrimination due to its coarse granularity. To solve the issues, combining DEA with the Bayes method, we propose an efficiency evaluation model without after-the-fact data, where an efficiency level is predicted and an evaluation value is calculated according to different investment combinations. Then, it is applied to logistics industries of Jiangsu province in China. The results show that our DEA-Bayes method has good discrimination and is easy to operate; a city with geographical advantage and environmental awareness generally gets a higher efficiency score. So the method can help decision makers to allocate resources rationally and further promote the coordinated development of logistics industry.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

“…Discrimination Prediction Expert required DEA [9] Poor No No DEA-FAHP [10] Poor No Yes LDA [11] Good . .…”

Section: Typesmentioning

confidence: 99%

Section: Typesmentioning

confidence: 99%

Section: Typesmentioning

confidence: 99%

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Measuring Sustainable Development Efficiency of Urban Logistics Industry

Cao

2018

Mathematical Problems in Engineering

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Multi‐criteria decision making approach for evaluation of the performance of computer programming languages in higher education

Yıldızbaşı

Rouyendegh

2018

Comp Applic In Engineering

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Computer Programming Languages are various languages used for developing a sequence of instructions and/or proofing errors, which language designers often overlook. Consequently, with the degree of fast moving life and improving technology, programming packages have been increasing. Choosing an appropriate language is a complex task and also many factors must be considered. While selecting educational software and its technical characteristics, reducing the time and effort needed in the learning process have to be considered. Evaluation of CPLs are inevitable in decision making. Multi‐criteria decision making helps for evaluating and comparing alternatives with respect to criteria. Therefore, in this article the fundamental attributes of programming languages, utilizing and steps of the TOPSIS are discussed. For evaluating the performance of some traditional CPLs in higher education on regarding seven criteria, we have constructed a function in Mathematica (a scientific computing package) that implements the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), a well‐known multi‐criteria decision method. Also, another contribution of this study is comparing TOPSIS methods results with AHP methods results.

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Efficiency Ranking via Combining DEA Evaluation and Bayesian Prediction for Logistics Enterprises

Cao

Zhu

2018

Lecture Notes in Computer Science

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Measuring the efficiency of hospitals: a fully-ranking DEA–FAHP approach

Cited by 71 publications

References 30 publications

Measuring Sustainable Development Efficiency of Urban Logistics Industry

Measuring Sustainable Development Efficiency of Urban Logistics Industry

Multi‐criteria decision making approach for evaluation of the performance of computer programming languages in higher education

Efficiency Ranking via Combining DEA Evaluation and Bayesian Prediction for Logistics Enterprises

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