scholarly journals Study on the Evaluation Index System of Guangdong’s All-for-One Tourism Destination Competitiveness Based on Factor and Cluster Analysis

2019 ◽  
Vol 07 (03) ◽  
pp. 418-428
Author(s):  
Yi Ye
Keyword(s):  
Cluster Analysis ◽  
Index System ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Tourism Destination ◽  
Destination Competitiveness ◽  
Factor And Cluster Analysis ◽  
And Cluster Analysis

scholarly journals Research on Urban Logistics Competitiveness in Fujian Province Based on Factor Analysis and Cluster Analysis

2019 ◽  
Vol 25 ◽  
pp. 02002
Author(s):  
Hongmao Wei
Keyword(s):  
Cluster Analysis ◽  
Factor Analysis ◽  
Coastal Area ◽  
Index System ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Fujian Province ◽  
Factors Affecting ◽  
And Cluster Analysis ◽  
Comprehensive Score

As an important province in the southeast coastal area, Fujian is composed of 9 cities. Due to various economic, political and geographical influences, the logistics development of these cities is uneven. Based on the analysis of the factors affecting the competitiveness of urban logistics, this paper establishes the evaluation index system of urban logistics competitiveness. Factor analysis is used to evaluate the logistics competitiveness index of each city in Fujian Province, and the comprehensive score and ranking of the logistics competitiveness of each city are obtained. Cluster analysis is used to divide 9 cities in Fujian into 4 categories, and the reasons for the results are analyzed.

An Evaluation Model of Enterprise Informatization Level Based on Grey Whitenization Weight Cluster Analysis

2011 ◽  
Vol 189-193 ◽  
pp. 823-829
Author(s):  
De Ling Yang ◽  
Wan Ming Chen
Keyword(s):  
Cluster Analysis ◽  
Index System ◽  
Evaluation Model ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Enterprise Informatization ◽  
Grey Incidence Analysis ◽  
Index Weight ◽  
Incidence Analysis

According to the existing insufficiency of researches of enterprise informatization level evaluation, building an evaluation model of enterprise informatization level based on grey whitenization weight cluster analysis. First, based on the existing research, build an evaluation index system of enterprise informatization level. Then, by using grey incidence analysis idea, put forward a method to determine index weight. And then, construt an evaluation model of enterprise informatization level based on grey whitenization weight cluster analysis. Finally, test the validity of the model through the application example.

An Evaluation and Analysis on High-Tech Industry Competitiveness in Fujian

2011 ◽  
Vol 403-408 ◽  
pp. 3281-3286
Author(s):  
Sheng Xu Shi ◽  
Sheng Yi Wu
Keyword(s):  
Cluster Analysis ◽  
Factor Analysis ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
High Tech ◽  
Regional Structure ◽  
High Tech Industry ◽  
Industry Competitiveness ◽  
And Cluster Analysis ◽  
Comprehensive Score

By establishing the high-tech industry competitiveness evaluation index system, we apply the factor analysis and cluster analysis methods to evaluation and analysis on high-tech industry competitiveness in East China of six provinces and one city. The result shows that the comprehensive score of Fujian stands at the lower level in the whole country, but the efficiency ability, innovation and effect ability factors rank up the average level. So we suggest that Government should adjust the industrial and regional structure, develop the high-tech industry branding and standardized and so on to promote the development of the high-tech industry and then improve its competitiveness in Fujian.

scholarly journals Suitability Evaluation for Land Reclamation of Nonmetallic Mines in Xinjiang, China

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Guobin Tang ◽  
Zizhao Zhang ◽  
Qianli Lv ◽  
Ruihua Hao ◽  
Kaikai Wang
Keyword(s):  
Cluster Analysis ◽  
Discriminant Analysis ◽  
Land Reclamation ◽  
Evaluation Model ◽  
Evaluation Index System ◽  
Ecological Environment ◽  
Analysis Method ◽  
Suitability Evaluation ◽  
Factor And Cluster Analysis ◽  
And Cluster Analysis

The ecological environment is fragile in Xinjiang, so it is necessary to carry out land reclamation for mines to restore its ecology. The premise of mines land reclamation is to determine the direction of land reclamation, which requires the suitability evaluation for land reclamation. In this paper, the evaluation index system and suitability evaluation model for land reclamation of nonmetallic mines in Xinjiang Uygur Autonomous Region were established. This model was established by using factor analysis, cluster analysis, and discriminant analysis and tested by back-substitution. First, using 149 units of 21 nonmetallic mines as research samples, the samples were divided into 4 categories by a combination of factor and cluster analysis. Then, the samples were trained using a discriminant analysis method to establish the corresponding land reclamation suitability evaluation model. This model was verified by back-substitution with an accuracy of 98.7%, and only 2 of 149 samples were misclassified. Finally, the evaluation model was applied to the Dabancheng Toga Solo limestone mine in Urumqi. Evaluation analysis of 15 land reclamation units of this mine showed satisfactory results. The evaluation model developed here could serve as a powerful complement to the evaluation of land reclamation suitability in Xinjiang.

Credit Evaluation Index System of Construction Enterprises

2012 ◽  
Vol 209-211 ◽  
pp. 1423-1428
Author(s):  
Chun Jie Ma ◽  
Yan Ting Ma
Keyword(s):  
Index System ◽  
Objective Evaluation ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Current Status ◽  
Credit Crisis ◽  
Analytic Hierarchy ◽  
Credit Evaluation ◽  
Construction Enterprises ◽  
And Cluster Analysis

Based on the analysis of the current status on the credit crisis of construction enterprises, this paper established the Credit Evaluation Index System of Construction Enterprises combined with modern characteristics in the industry. By using the method of Analytic Hierarchy Process and Cluster Analysis, we determine the weight of each index, and then calculate each index data using fuzzy mathematic principle. Thus give an objective evaluation on the credit situation of construction enterprises.

scholarly journals Research on Utility Evaluation of Grid Investment considering Risk Preference of Decision-Makers

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Hongliang Wu ◽  
Daoxin Peng ◽  
Ling Wang
Keyword(s):  
Index System ◽  
Evaluation Model ◽  
Risk Preference ◽  
System Optimization ◽  
Decision Makers ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Risk Appetite ◽  
Utility Evaluation ◽  
The Index System

Effectiveness evaluations are one of the important ways to guide grid investment and to improve investment efficiency. Improving the effectiveness of grid investment evaluations is studied based on the optimization of the investment evaluation index system and the utility evaluation model. The index system is optimized by establishing an evaluation index system of grid investment effectiveness, considering the redundancy between the indices, and constructing an ISM-DEA model. The utility function model was introduced to fully consider the different risk appetites of decision-makers, and a utility evaluation model that takes risk appetite into account was established. An improved weight integration model based on multiobjective optimization was established by considering the minimum deviation and the trend-optimal objective function when setting the index weights. The calculation results show that the feasibility of the index system optimization model and utility evaluation model constructed in this study is verified under the premise of satisfying the assumptions. By adjusting the risk preference coefficient of decision-makers, the dynamic optimization of the grid investment utility evaluation results can be realized.

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