The study of TOP-K path query for fuzzy multiattribute graph

	The study of TOP-K path query for fuzzy multiattribute graph
	Zhang, Kehong1,3 ; Ma, Jingyan 2
	2018
发表期刊	Paper Asia
卷号	2018 期号:Compendium3 页码:33-38
摘要	With the unceasing change of information world, the path query is no longer confined to the optimal path. People pay close attention to the Top-k candidate path in a certain order. In addition, more and more people concern about the research on multiattribute path optimization. So the article studies the complex attribute of road, and comes up with FMPGA algorithm for multiple fuzzy attribute. Firstly, fuzzy decision technique is used to get the comprehensive score of each path; Secondly, the optimum path of Top-k is calculated by the genetic algorithm and deviating node algorithm. Finally, the effectiveness of FMPGA algorithm is verified by the experimental analysis.
关键词	Decision making Genetic algorithms Experimental analysis Fuzzy attributes Fuzzy decision Multi attributes Optimal paths Optimum paths Path Path optimizations
收录类别	EI
ISSN	02184540
语种	英语
出版者	SHPMedia Sdn Bhd
EI入藏号	20183405724984
文献类型	期刊论文
条目标识符	http://ir.lzufe.edu.cn/handle/39EH0E1M/9653
专题	信息工程与人工智能学院
作者单位	1.School of Information Engineering, Lanzhou University of Finance and Economics, Lanzhou, China; 2.School of Preparatory Education, Northwest University for Nationalities, Lanzhou, China; 3.School of Computer Science and Technology, Dalian University of Technology, Dalian, China
第一作者单位	兰州财经大学
推荐引用方式 GB/T 7714	Zhang, Kehong,Ma, Jingyan. The study of TOP-K path query for fuzzy multiattribute graph[J]. Paper Asia,2018,2018(Compendium3):33-38.
APA	Zhang, Kehong,&Ma, Jingyan.(2018).The study of TOP-K path query for fuzzy multiattribute graph.Paper Asia,2018(Compendium3),33-38.
MLA	Zhang, Kehong,et al."The study of TOP-K path query for fuzzy multiattribute graph".Paper Asia 2018.Compendium3(2018):33-38.