DocumentCode
3660069
Title
Application of vector similarity method in multi-plan optimization
Author
Kangming Zhang;Haoguang Chen;Shengming Liu;Ying Shao;Xiong Wang
Author_Institution
Academy of Equipment, HuaiRou, Beijing, China
fYear
2015
Firstpage
335
Lastpage
338
Abstract
Based on the vector similarity theory, a new method of multi-plan optimization is proposed in this paper. The paper discusses the optimization steps of the method in detail. Finally, an example show that the effectiveness and practicality of this method by the comparison of decision results among the vector similarity method, the TOPSIS method, the angle measure sorting method and the project method.
Keywords
"Indexes","Optimization","Sorting","Modeling","Decision making","Entropy","Reliability"
Publisher
ieee
Conference_Titel
Information and Automation, 2015 IEEE International Conference on
Type
conf
DOI
10.1109/ICInfA.2015.7279308
Filename
7279308
Link To Document