The Big Data for Comprehensive Evaluation of GIS Engineering Based on Data Envelopment Analysis

2021 ◽  
pp. 563-569
Author(s):  
Lansheng Xu
Keyword(s):  
Big Data ◽  
Data Envelopment Analysis ◽  
Comprehensive Evaluation ◽  
Data Envelopment

Assessment of Coaches Using Data Envelopment Analysis and Analytical Hierarchy Process

2014 ◽  
Vol 687-691 ◽  
pp. 1560-1563
Author(s):  
Han Cong Tang ◽  
Yan An Dong
Keyword(s):  
Data Envelopment Analysis ◽  
Analytical Hierarchy Process ◽  
Comprehensive Evaluation ◽  
Data Envelopment ◽  
Filter Model ◽  
Winning Percentage ◽  
Evaluation Of Coaching ◽  
And Gender ◽  
Using Data ◽  
Hierarchy Process

This paper presents three models as a potential decision making method for selecting the best baseball, field hockey, and women’s basketball NCAA Division I coaches. Five indicators, synthesized coaching efficiency, winning percentage, consecutive championship, achievement index and gender, are introduced to give a comprehensive evaluation of coaching ability. The preliminary served as a filter model to screen out less capable coaches and a robust ranking within top 10 is achieved. The Data Envelopment Analysis (DEA) model takes the time line horizon into consideration, and helps find less efficient coaches. By comparing the first two models, we obtain a reasonable assessment of coaches from different time period. Finally, by applying the Analytical Hierarchy Process (AHP), minor changes in judgment matrices can be made to adjust the ratio of male to female in the top 5 coaches.

Efficiency Analysis of Hospitals Based on Data Envelopment Analysis Method in the Context of Big Data

2021 ◽  
pp. 19-25
Author(s):  
Boyu Lu ◽  
Jing Wang ◽  
Lin Song ◽  
Yongyan Wang ◽  
Jian Zhang
Keyword(s):  
Big Data ◽  
Data Envelopment Analysis ◽  
Efficiency Analysis ◽  
Data Envelopment ◽  
Analysis Method

Comprehensive Evaluation for Efficiency of Bus Routes with Data Envelopment Analysis

2005 ◽  
Vol 40 (0) ◽  
pp. 64-64
Author(s):  
Yasushi HIGASHIMOTO ◽  
Kunihiro KISHI ◽  
Keiichi SATOH
Keyword(s):  
Data Envelopment Analysis ◽  
Comprehensive Evaluation ◽  
Data Envelopment

Data envelopment analysis and big data

2019 ◽  
Vol 274 (3) ◽  
pp. 1047-1054 ◽  
Author(s):  
Dariush Khezrimotlagh ◽  
Joe Zhu ◽  
Wade D. Cook ◽  
Mehdi Toloo
Keyword(s):  
Big Data ◽  
Data Envelopment Analysis ◽  
Data Envelopment

scholarly journals Comprehensive Evaluation of Regional Sustainable Development Based on Data Envelopment Analysis

2018 ◽  
Vol 10 (11) ◽  
pp. 3897 ◽  
Author(s):  
Zhijiang Li ◽  
Decai Tang ◽  
Mang Han ◽  
Brandon Bethel
Keyword(s):  
Sustainable Development ◽  
Data Envelopment Analysis ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Data Envelopment ◽  
Input Output ◽  
Slow Development ◽  
Regional Sustainable Development ◽  
Spatio Temporal

In the light of the shortcomings of the analytic hierarchy process and other common regional sustainable development evaluation methods, this paper proposes the use of a combination of subjective and objective weights to generate input/output indicators using the Data Envelopment Analysis (DEA) method. Using this methodology, we construct a comprehensive evaluation index which is useful in expanding the application of Data Envelopment Analysis (DEA) in the comprehensive evaluation of sustainable development. Moreover, this paper addresses the shortfalls of the traditional DEA evaluation model and uses the Super-Slack Based Measure (SBM)-Undesirable and DEA-Malmquist evaluation models, which are based on traditional DEA model optimization, to analyze the spatio-temporal characteristics of sustainable development on regional scales. Using China’s Yangzte River Economic Belt as an example, an empirical analysis is carried out. We show that analysis results are virtually identical to the extant situation and can objectively reflect the status and abilities of sustainable development in each subregion. Additionally, from the angles of input, output and technological progress, this paper uses the DEA evaluation method to analyze the reasons behind the slow development in several provinces and municipalities along the Yangzte River Economic Belt (YERB). The regional characteristics of each province and city within our study are combined to explore the optimal mechanisms for sustainable development.

Comprehensive Evaluation for Efficiency of Bus Routes with Data Envelopment Analysis.

2005 ◽  
Vol 40.3 (0) ◽  
pp. 379-384
Author(s):  
Yasushi Higaashimoto ◽  
Kunihiro Kishi ◽  
Keiichi Satoh
Keyword(s):  
Data Envelopment Analysis ◽  
Comprehensive Evaluation ◽  
Data Envelopment

Data Envelopment Analysis Model of Mechanical Product Design

2013 ◽  
Vol 443 ◽  
pp. 58-61
Author(s):  
Huan Cheng Zhang ◽  
Ya Feng Yang ◽  
Ai Min Yang ◽  
Li Nan Shi
Keyword(s):  
Data Envelopment Analysis ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Data Envelopment Analysis Model ◽  
Data Envelopment ◽  
Analysis Model ◽  
Existing Problems ◽  
Comprehensive Evaluation Model ◽  
Mechanical Products

For the existing problems in the design of mechanical products, based on the theory of fuzzy mathematics, the paper constructs fuzzy comprehensive evaluation model to comprehensively evaluate the existing problems. Then, by the obtained results, the model has a high degree of subjectivity. So, the paper combines data envelopment analysis with fuzzy comprehensive evaluation model, and establishes evaluation model of fuzzy data envelopment analysis. Ultimately, the paper improves the reliable and scientific evaluation model.

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