svm based decision analysis and its granular-based solving

	svm based decision analysis and its granular-based solving
	Yang Tian; Lu Xinjie; Liao Zaifei; Liu Wei; Wang Hongan
	2009
会议名称	International Conference on Computational Science and Its Applications, ICCSA 2009
会议录名称	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
会议日期	37436
会议地点	Seoul, Korea, Republic of
出版地	Germany
ISSN	3029743
ISBN	3642024564
部门归属	(1) Graduate University, Chinese Academy of Sciences, Beijing, China; (2) Institute of Software, Chinese Academy of Sciences, Beijing, China; (3) State Key Lab. of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing, China
摘要	This paper proposes an approach to decision analysis for complex industrial process without enough knowledge of input-output model, which is based on the two-class SVM method. It first proposes a SVM Based Decision Analysis Model to improve the accuracy of determinant of whether a decision is acceptable/ unacceptable by verifying the soft margin of a SVM. This makes it only allow misclassification of only one class in a two-class classification. Then a granular-based approach is presented to solving this model. It is proved that this granular approach can reach an upper bound of the original SVM model. An algorithm then is presented to determine whether a decision is acceptable. According to our analysis and experiments, the two types of SVM have better accuracy on judging its target class then traditional SVM, and the granular-based SVM solving can reduce the running time. © 2009 Springer Berlin Heidelberg.
关键词	Computer Science Decision Making Decision Theory Granular Computing
主办者	University of Perugia; Monash University; University of Calgary; La Trobe University; Soongsil University
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/8408
专题	人机交互技术与智能信息处理实验室
推荐引用方式 GB/T 7714	Yang Tian,Lu Xinjie,Liao Zaifei,et al. svm based decision analysis and its granular-based solving[C]. Germany,2009.