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
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"
Conference_Titel :
Information and Automation, 2015 IEEE International Conference on
DOI :
10.1109/ICInfA.2015.7279308