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	Approximation operators based on vague relations and roughness measures of vague sets 期刊论文 OAI收割 FRONTIERS OF COMPUTER SCIENCE IN CHINA, 2011, 卷号: 5, 期号: 4, 页码: 429-441 作者: Wu, Mingfen \| 收藏 \| 浏览/下载：16/0 \| 提交时间：2019/12/16 vague relation vague approximation space rough vague set roughness measure similarity measure
	The research of the accurate measure of static transfer function for the TDI CCD camera (EI CONFERENCE) 会议论文 OAI收割 3rd International Photonics and OptoElectronics Meetings, POEM 2010, November 2, 2010 - November 5, 2010, Wuhan, China Guo-Ning L.; Long-Xu J.; Jian-Yue R.; Wen-Hua W.; Shuang-Li H. 收藏 \| 浏览/下载：28/0 \| 提交时间：2013/03/25 In the test course of static transfer function of TDI CCD camera because of the influence that gets environmental and artificial etc. factor the value of static transfer function measured at any time is between unceasing fluctuation so make accuracy reduce. To solve this problem a kind of accurate measurement technique of static transfer function is put forward. First before carrying out the measure of static quiet of transfer function the best test point of transfer function of the TDI CCD camera must be determined it is parallel to guarantee the rectangle target surface of parallel optical pipe and camera focal plane maintenance parallel and again guarantee target strip in rectangle target and TDI CCD in camera focal plane maintenance vertical. TDI CCD catches rectangle target image per 1000 lines of target mark image as a measures sample of static transfer function exclude because of atmosphere tremble twisted vague rectangle target mark image retain 500 distinct and steady target mark image as measure sample set. Then calculate the static transfer function of each measure sample respectively take the average of all static quiet transfer function in measure sample set as the static transfer function of camera. Finally the measure of the static transfer function for TDI CCD camera makes error analysis. Experimental results indicate that the value of the static transfer function of TDI CCD camera measured with this kind of method is 0.2923 with before measurement technique comparison the value of static transfer function has raised 0.02 makes the accuracy of the measure of static transfer function have gotten raising.
	Application of Vague set to Software rating ascertainment for space camera (EI CONFERENCE) 会议论文 OAI收割 2nd International Conference on Information Science and Engineering, ICISE2010, December 4, 2010 - December 6, 2010, Hangzhou, China 作者: Li Y.; Li Y.; Li Y.; Li Y. 收藏 \| 浏览/下载：28/0 \| 提交时间：2013/03/25 Software rating ascertainment is very important in development of space camera software system. It can guide the software measurement and management and help designer improve system reliability finally. Fault Tree Analysis is a common method to analyze the danger reason and fix on bottom events. The most significant step is calculating the occurrence probabilistic of top event namely the occurrence probabilistic of dangerous event. Because software failure cause is anfractuous and available data are hard to get a modeling method for bottom event is proposed based on Vague set to calculate the occurrence probabilistic of top event. Experimental results show that the new approach of Vague set can guide the Software rating ascertainment which is ascertained using qualitative analysis. The results also show that the new method makes software rating ascertainment have the quantificational evidence. 2010 IEEE.
	Vague soft sets and their properties 期刊论文 OAI收割 COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2010, 卷号: 59, 期号: 2, 页码: 787-794 作者: Xu, Wei; Ma, Jian; Wang, Shouyang; Hao, Gang \| 收藏 \| 浏览/下载：17/0 \| 提交时间：2018/07/30 Soft set Fuzzy set Vague set Vague soft set Rough set
	Demand feature identifying for emergency goods under earthquake rescue logistics by vague set based bp neural network 会议论文 OAI收割 2010 International Conference on Optoelectronics and Image Processing, ICOIP 2010, Haiko, China, November 11-12, 2010 作者: 收藏 \| 浏览/下载：33/0 \| 提交时间：2017/03/13 Vague Set BP Neural Network Membership Degree Function Earthquake