scholarly journals Research on Industrial Park Investment Environment Evaluation Index System

2015 ◽  
Vol 05 (03) ◽  
pp. 67-73
Author(s):  
凤海 孙
Keyword(s):  
Index System ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Industrial Park ◽  
Investment Environment

scholarly journals Kappa Analysis of Industrial Park Risk Evaluation Index System

2012 ◽  
Vol 45 ◽  
pp. 101-105
Author(s):  
Huang Wenhong ◽  
Hailong Wang ◽  
Xuesheng Li ◽  
Qifu Bao
Keyword(s):  
Index System ◽  
Risk Evaluation ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Industrial Park

scholarly journals Connectivity Evaluation and Planning of a River-Lake System in East China Based on Graph Theory

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Jing Chen ◽  
Chenguang Xiao ◽  
Dan Chen
Keyword(s):  
Graph Theory ◽  
Index System ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Edge Weight ◽  
Industrial Park ◽  
Stream Network ◽  
Edge Connectivity ◽  
Edge Node ◽  
Lake System

The connectivity of the stream network plays an important role in water-mediated transport and river environments, which are threatened by the rugged development process in China. In this study, based on graph theory, a connectivity evaluation index system was built, which includes the Edge Connectivity, Edge-Node rate, Connectivity Reliability, and Edge Weight. The new evaluation standard and calculation method of each index is presented. The river-lake system of Fenhu industrial park in Jiangsu China is simplified to an Edge-Node graph and evaluated by the index system as a case study. The results indicate that the river-lake system of the research area has low Edge Connectivity, a high Edge-Node rate, and high reliability in the current connectivity level. In addition, the Edge Weight index of several channels does not satisfy the standard of the Basic Edge Weight. To solve the connectivity problems, specific project plans include broadening the unqualified channel and building canals linked with the low-connectivity lakes. The results show that, after the planning, the connectivity of the stream network in Fenhu industrial park will increase, and the connectivity evaluation index system is useful in the study area.

scholarly journals Research on the Whole Process Cost Risk Evaluation Index System of Real Estate Park

2021 ◽  
Vol 233 ◽  
pp. 03060
Author(s):  
Bing Xu ◽  
Qinling Zeng
Keyword(s):  
Real Estate ◽  
Index System ◽  
Risk Evaluation ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Industrial Park ◽  
Evaluation Indexes ◽  
Whole Process ◽  
Process Cost ◽  
Cost Risk

The development focus of real estate enterprises has shifted from traditional buildings to industrial park construction. After summarizing and analyzing the risk factors of the traditional construction cost, the WBS-CBS-RBS method is used to classify and identify the whole process cost of the industrial park. Finally, eight first level evaluation indexes and 37 second level evaluation indexes are established to form the whole process cost risk evaluation index system of the industrial park construction, which provides the basis for the whole process cost risk assessment of the subsequent industrial park construction.

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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