System Contribution Rate Evaluation of the Equipment System Based on Rough Set and Neural Network

2017 ◽  
Author(s):  
Hui-Wen Lv ◽  
Wei Zhang
Keyword(s):  
Neural Network ◽  
Rough Set ◽  
Contribution Rate ◽  
Rate Evaluation ◽  
Equipment System

scholarly journals Contribution Rate Evaluation Method of Equipment System of Systems Based on Fault Tree

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Min Du ◽  
Zhonghua Cheng ◽  
Enzhi Dong
Keyword(s):  
Evaluation Method ◽  
Evaluation Model ◽  
Fault Tree ◽  
System Of Systems ◽  
Contribution Rate ◽  
Air Defense ◽  
Existing Problems ◽  
Low Altitude ◽  
Rate Evaluation ◽  
Equipment System

In this paper, the terminal air defense equipment system of systems (TADESoS) is studied as an example. The TADESoS is an important part of the joint air defense equipment system of systems, which mainly carries out the combat task to the low altitude flight target. The contribution rate evaluation of the TADESoS can provide theoretical basis for guiding the tactical plan of the TADESoS. Aiming at the problems existing in the evaluation of contribution rate of TADESoS, such as the difficulty of describing the structure of system of systems, the strong subjectivity of the evaluation method, and the difficulty of application of the evaluation results, this paper proposes a method of evaluating the contribution rate of the TADESoS based on fault tree. The method describes the structure of the TADESoS by multiattribute nodes. The probability of the top event is calculated by using the probability of the bottom event. Finally, based on the importance of the bottom event, the contribution rate evaluation model of the TADESoS is established, which solves the existing problems in the current research. Finally, the feasibility of the method is verified by an example.

scholarly journals Research on evaluation index system of information system equipment system contribution rate

2021 ◽  
Vol 336 ◽  
pp. 05028
Author(s):  
Jian Hou ◽  
Ruihua Wang ◽  
Jiajia Wang ◽  
Zhou Yang
Keyword(s):  
Information System ◽  
Index System ◽  
Evaluation Process ◽  
Evaluation Index System ◽  
Planning System ◽  
Evaluation Index ◽  
Contribution Rate ◽  
Research On Evaluation ◽  
Rate Evaluation ◽  
Equipment System

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.

Research on RS-WNN Integrated Modeling

2011 ◽  
Vol 105-107 ◽  
pp. 2169-2173
Author(s):  
Zong Chang Xu ◽  
Xue Qin Tang ◽  
Shu Feng Huang
Keyword(s):  
Neural Network ◽  
Rough Set ◽  
Attribute Reduction ◽  
Wavelet Neural Network ◽  
Integrated Modeling ◽  
Generalization Ability ◽  
Decision Attributes ◽  
Optimum Decision ◽  
Structure Complexity ◽  
Modeling Algorithm

Wavelet Neural Network (WNN) integration modeling based on Rough Set (RS) is studied. An integration modeling algorithm named RS-WNN, which first introduces a heuristic attribute reduction recursion algorithm to determine the optimum decision attributes and then conducts WNN modeling, is proposed. This method is adopted to more effectively eliminate the redundant attributes, lower the structure complexity of WNN, which reduce the time of training and improve the generalization ability of WNN. The result of the experiment shows this method is superior and efficient.

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