An attack intention recognition method based on evaluation index system of electric power information system

Author(s):  
Xiaojuan Guan ◽  
Yuanyuan Ma ◽  
Ye Hua
2013 ◽  
Vol 756-759 ◽  
pp. 1630-1634
Author(s):  
Zhen Li ◽  
Yan Li

The operation of logistics information system determines the efficiency of the information and value flow in the modern competitive market. The paper tries to set up a logistics information system, which is mainly based on the collection, mining and application of data, and to establish an evaluation system, consisting of evaluation principles and evaluation index system, for the logistics information system.


2011 ◽  
Vol 50-51 ◽  
pp. 130-134
Author(s):  
Yan Kun Li

For the subjectivity of attribute value in the fuzzy attribute information system, this paper proposes a construction method of fuzzy attribute information system based on DEA (Data Envelopment Analysis). Then an attribute reduction method based on the dependability degree of attribute is given. At last, the proposed method is implemented successfully in the optimization of evaluation index system.


2021 ◽  
Vol 336 ◽  
pp. 05028
Author(s):  
Jian Hou ◽  
Ruihua Wang ◽  
Jiajia Wang ◽  
Zhou Yang

The construction of index system is the basis of equipment system contribution rate evaluation, and is also one of the main contents of equipment test and appraisal. This paper discusses the concept of systems contribution rate, introduces the evaluation process of system contribution rate of information system equipment, and gives the construction principles and ideas of information system equipment system contribution rate evaluation index system. Then, referring to the theory of operational loop, the evaluation index system of system contribution rate is given from the perspectives of system capability and system effectiveness. The evaluation index of this paper can provide decision support for the development of equipment planning system.


2021 ◽  
Vol 252 ◽  
pp. 01029
Author(s):  
Li Xin ◽  
Zhaoqing Fu ◽  
Kangping Liu ◽  
Jiang Xu ◽  
Baoming Ma

With the deepening of the reform of the electric power system and the continuous improvement of the demand level of electric power users, the psychological expectations of the market subjects have also undergone profound changes, and it is necessary to gradually strengthen and expand the key indicators and analysis dimensions that can reflect the operation situation of the electric power market, so as to adapt to the existing statistical analysis business needs. According to the current business content and demand of electricity market, this paper establishes a scientific and comprehensive evaluation index system of electricity market from the perspectives of market supply and demand, market structure, market behavior and market discipline. The system can reflect the development of power market comprehensively and objectively.


2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Hongliang Wu ◽  
Daoxin Peng ◽  
Ling Wang

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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