Credibility-based algorithm for merging vote lists

被引：0
|
作者：
Yang H.-G. [1 ]
Shen D.-R. [1 ]
Kou Y. [1 ]
Yu G. [1 ]
机构：
[1] School of Computer Science & Engineering, Northeastern University, Shenyang
来源：
Dongbei Daxue Xuebao/Journal of Northeastern University | 2016年 / 37卷 / 02期
关键词：
Comprehensive ranking; Credibility; List; Lists merging; Voting system;
D O I：
10.3969/j.issn.1005-3026.2016.02.004
中图分类号：
学科分类号：
摘要：
In a voting system, each voter makes a preferential list about candidates, thus a large amount of ordered lists are obtained. To get a comprehensive voting result from these lists, an effective lists merging algorithm is required, which can analyze these lists data and output a comprehensive list. A merging algorithm based on credibility is proposed. Through analyzing the data of lists, numerous ranking messages are extracted, then the credibility of them is formulated and measured, with which the final comprehensive list is computed such that those ranking messages with high credibility could play a more influential role in the final ranking result. Experimental results fully indicate that the algorithm proposed can dig out the credibility about ranking information more effectively, thus attaining the merging results more accurately. © 2016, Editorial Department of Journal of Northeastern University. All right reserved.
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页码：165 / 168and173
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