scholarly journals Data Envelopment Analysis Algorithm of Enterprise Economic Benefits Based on Leapfrog Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Ying Chen ◽  
Xiaokang Zhao
Keyword(s):  
Data Analysis ◽  
Data Envelopment Analysis ◽  
Economic Benefit ◽  
Economic Benefits ◽  
Data Envelopment ◽  
Basic Operation ◽  
Analysis Algorithm ◽  
Operation Mechanism ◽  
Related Data ◽  
Value Range

In order to deal with the problems of low analysis accuracy and poor security in the current enterprise economic benefit data analysis, this paper proposes an enterprise economic benefit data envelopment analysis algorithm based on leapfrog algorithm. According to the proposed method, with the help of comparing and analyzing different analysis algorithms of enterprise economic benefit data, the data envelopment analysis algorithm with strong usability is selected firstly. After that, the effectiveness of DEA is judged by introducing relaxation variables with the help of the data envelopment analysis algorithm, and the non-Archimedean infinitesimal model is used to build the basic operation mechanism. On this basis, the overall operation mechanism of leapfrog algorithm component is used to clarify the value range of relevant economic benefit data and the number of global mixed iterations. The experimental results show that the envelope analysis of enterprise economic benefit-related data using this method can not only improve the accuracy of data analysis but also effectively improve the security of relevant business data.

scholarly journals Economic Benefits for the Application of Standards of Sustainability in Construction Projects

2019 ◽  
Vol 25 (3) ◽  
pp. 117-126
Author(s):  
Walid Mustafa Kamas ◽  
Aya A. Hasan ◽  
Ali Hussein Fadel
Keyword(s):  
Decision Making ◽  
Data Analysis ◽  
Economic Benefit ◽  
Construction Projects ◽  
Fuzzy Ahp ◽  
Economic Benefits ◽  
Relative Importance ◽  
Fuzzy Environment ◽  
Sustainability Standards ◽  
Speed And Accuracy

In this research, that been focused on the most important economic benefits expected when applying the three standards of sustainability in construction projects (economic, environmental and social). Fuzzy AHP, a multi-decision decision-making technique for evaluating construction projects. Which when used we get the speed and accuracy in the results. Using this technique will reduce uncertainties decisions significantly (fuzzy environment), that found in most projects .The results of the data analysis showed  that the economic standards take the greatest relative importance (60%) among the three sustainability standards. Therefore, the implementation of any standards need a cost so the economic benefit of any project is ranked first, before implementing any sustainable project.  

Research on the Evaluation of Cost-Effectiveness of Universities

2013 ◽  
Vol 423-426 ◽  
pp. 2922-2925
Author(s):  
Cheng Wang
Keyword(s):  
Data Envelopment Analysis ◽  
Cost Effectiveness ◽  
Theoretical Basis ◽  
Evaluation Model ◽  
Economic Benefits ◽  
New Method ◽  
Social Benefits ◽  
Data Envelopment ◽  
Normal University ◽  
The Cost

The cost-effectiveness of universities is relative to the factors of economic benefits and social benefits. Considering these factors, an evaluation model for evaluating the cost-effectiveness of universities is established based on the Data Envelopment Analysis (DEA) in this paper. And this model is applied in the evaluation of cost-effectiveness of Huanggang Normal University combined with this universitys educational reality, and a better evaluation results is got. The study in this paper provides a theoretical basis and a new method for evaluating the cost-effectiveness of universities.

scholarly journals Efisiensi Teknis Usahatani Kentang di Kabupaten Gowa Sulawesi Selatan

2021 ◽  
Vol 11 (1) ◽  
pp. 65-74
Author(s):  
Ahsanah Mukarromah Arifin ◽  
Anna Fariyanti ◽  
Netti Tinaprilla
Keyword(s):  
Data Analysis ◽  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Data Envelopment ◽  
Tobit Regression ◽  
Purposive Sampling ◽  
South Sulawesi ◽  
Dea Approach

One of the ways to increase production was increasing technical efficiency. The purpose of this research was to analyze technical efficiency and factors that affected technical efficiency in Tinggimoncong District, Gowa Regency, South Sulawesi. This research used purposive sampling with 50 potatoes farmers. This study used Data Envelopment Analysis (DEA) approach and Tobit regression for data analysis. The result of the study showed that there are 23 farmers of the respondents stated to be efficient or about 46 per cent of the total respondents studied. Factors that significantly influence the technical efficiency of potato farming were education and income outside of farming.    

Efficiency of Football Clubs in Poland

2016 ◽  
Vol 11 (1) ◽  
pp. 59-72 ◽  
Author(s):  
Artur Wyszyński
Keyword(s):  
Data Analysis ◽  
Data Envelopment Analysis ◽  
Parametric Method ◽  
Data Envelopment ◽  
Improve Efficiency ◽  
Football Clubs ◽  
Efficiency Ranking ◽  
Ranking Order ◽  
Optimum Input ◽  
Non Parametric

This article evaluates the diversity in the level of efficiency of football clubs which played matches in the top-level football league in Poland in the 2014/2015 season - the Polish First Division (Ekstraklasa). The efficiency was measured with the use of the non-parametric method of frontier data analysis (DEA - Data Envelopment Analysis). The results of the measurement indicate that the efficiency of the Polish First Division is varies widely. More than one-third of clubs (inefficient ones) incur excessively high expenditures (salaries) in relation to the actually produced output. The study found that the technology of efficient clubs is based, first of all, on generating much higher revenues in relation to the players' salary costs. This allows the efficient clubs to more effectively (in comparison to non-efficient clubs) convert their input into output. Identifying the differences in efficiency using established benchmarking factors resulted in determining the optimum input levels for inefficient clubs and indicating the clubs where activities to improve efficiency should be undertaken. The result of the research is an efficiency ranking order for the football clubs covered by the analysis.

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