%0 Journal Article
%T Uncertain linguistic information preference ranking ofmulti-objective particle swarm optimization algorithm<br>一种不确定语言偏好排序的多目标粒子群算法
%A LI Shi-wei
%A WANG Jian-qiang
%A ZENG Jun-wei
%A <br>李世威
%A 王建强
%A 曾俊伟
%J 计算机应用研究
%D 2012
%I 
%X In order to transfer multi-objectives problem into single objective problem and consider the decision making process of the uncertainty and fuzziness, it transferred uncertain linguistic information into uncertain linguistic variables, and used uncertain linguistic variables algorithm for computing. Then it defined the complementary judgment matrix, used multi-indexes uncertainty sorting method to determine the weights of decision-makers, and transferred discrete levels of objective's attributes to integrated levels and determined the weights of objectives. After that, it made objective's values normalized and defined a uncertain preference integrated fitness function of multi-objectives problem based on these objective weights, and used particle swarm optimization algorithm to solve the multi-objectives problem. Finally, it used a case to illustrate the algorithm's feasibility.
%K uncertain linguistic information
%K multi-objectives
%K multi-attributes
%K multi-indexes
%K integrated fitness function
%K particle swarm optimization(PSO) algorithm<br>不确定性语言信息
%K 多目标
%K 多属性
%K 多指标
%K 综合适应度函数
%K 粒子群算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=F886A295C1E57CC58EF7B55150FA462B&yid=99E9153A83D4CB11&vid=771469D9D58C34FF&iid=94C357A881DFC066&sid=4E17F6A5D7499FF3&eid=72C9FC6259F90AE2&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=13