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
Conference Name	International Conference on Computational Science and Its Applications, ICCSA 2009
Source	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Conference Date	37436
Conference Place	Seoul, Korea, Republic of
Publish Place	Germany
ISSN	3029743
ISBN	3642024564
Department	(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
English Abstract	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.
Keyword	Computer Science Decision Making Decision Theory Granular Computing
Sponsorship	University of Perugia; Monash University; University of Calgary; La Trobe University; Soongsil University
Content Type	会议论文
URI	http://ir.iscas.ac.cn/handle/311060/8408
Collection	人机交互技术与智能信息处理实验室
Recommended Citation GB/T 7714	Yang Tian,Lu Xinjie,Liao Zaifei,et al. svm based decision analysis and its granular-based solving[C]. Germany,2009.

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