Comprehensive assessment research for radar simulator training achievements based on rough set

• Management Science • Previous Articles Next Articles

Comprehensive assessment research for radar simulator training achievements based on rough set

HE Xin^1,2,LUO Liang²,CHEN Hai-jie³

(1. School of Transportation and Logistic,Southwest Jiaotong University,Chengdu 610031,China;
2. School of Air Traffic Management,Civil Aviation Flight University of China,Guanghan 618307,China;
3. Central and Southern Regional Administration,CAAC,Guangzhou 510405,China)

Received:2014-05-14 Revised:2014-07-13 Online:2015-10-21 Published:2015-11-10

Abstract

Abstract:

In order to improve precision and availability of radar simulator training achievements assessment and reduce the effects of evaluators'subjectivity diversities on evaluation results,an assessment method based on rough set theory is proposed. With this method,the index system of radar simulator training achievements assessment is set up and the information system based on rough set theory is built;unnecessary attributes are eliminated by using the heuristic reduction algorithm based on Pawlak attribute importance degree,and the index system is simplified;weights of evaluation indeices are determined based on the importance degree index information.Evaluation result shows that evaluation cost and evaluators'influence on evaluation results can be reduced by using the proposed method in radar simulator training achievements assessment.

Key words: radar simulator, rough set, heuristic reduction algorithm, comprehensive assessment

CLC Number:

V355.1

HE Xin,LUO Liang,CHEN Hai-jie. Comprehensive assessment research for radar simulator training achievements based on rough set[J]. .

[1]	QU Hongchun, GAO Pengyu, ZHU Weihua, XU W angshan, GUO Longfei . Lubricating oil consumption prediction of civil aviation engine based on NRS-CNN [J]. Journal of Civil Aviation University of China, 2021, 39(5): 16-21.
[2]	TAO Zhi, HU Liu, WANG Dan. Consistency rule mining algorithm based on variable precision dominance relation rough set model#br# [J]. Journal of Civil Aviation University of China, 2021, 39(1): 59-64.
[3]	TAO Zhi, WANG Dan. Two direction S-dominance-based probability rough set and its application#br# [J]. Journal of Civil Aviation University of China, 2019, 37(5): 60-64.
[4]	TAO Zhi, PAN Liping, HE Danfeng. Improved fuzzy rough set model [J]. , 2017, 35(5): 60-64.
[5]	TAO Zhi, HE Danfeng, PAN Liping. Rough set model based on conditions prior probability dominance relation [J]. , 2017, 35(3): 59-6.
[6]	LI Hongqi, JIAN Xiaorong, LIU Yinying, YUAN Junli. Rule set and its application in air freight volume prediction [J]. , 2017, 35(3): 54-58.
[7]	YU Hui, ZHANG Ming, YU Jue. Low altitude rescue demand forecasting based on K-means CBR [J]. , 2017, 35(2): 55-59.
[8]	TAO Zhi,HU Shu-qin. Extended model based on dominance relation in incomplete preferential decision system [J]. , 2015, 33(4): 51-55.
[9]	TAO Zhi,YUE Mei-xi. Variable precision rough set model in dominance relation of set-valued decision system [J]. , 2015, 33(1): 55-58.
[10]	WANG Li,ZHANG Bing-jie. Modified rough set based alarm processing method of airport smart grid [J]. , 2015, 33(1): 36-40.
[11]	TAO Zhi，LIU Cai-ping. Rough set model based on improved prior probability [J]. , 2014, 32(4): 48-51,64.
[12]	TAO Zhi,BIAN Wen-jing. Rough analysis model based on prior probability dominance relation [J]. , 2013, 31(4): 60-64.

Comprehensive assessment research for radar simulator training achievements based on rough set

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 12

Recommended Articles

Metrics

Comments