计算机应用研究2012，Vol.29Issue(5)：1720-1722,1736,4.DOI:10.3969/j.issn.1001-3695.2012.05.031
一种不确定语言偏好排序的多目标粒子群算法
Uncertain linguistic information preference ranking of multi-objective particle swarm optimization algorithm
摘要
Abstract
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 uncer- ' tainty 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.关键词
不确定性语言信息/多目标/多属性/多指标/综合适应度函数/粒子群算法Key words
uncertain linguistic information/multi-objectives/multi-attributes/multi-indexes/integrated fitness function/particle swarm optimization ( PSO) algorithm分类
信息技术与安全科学引用本文复制引用
李世威,王建强,曾俊伟..一种不确定语言偏好排序的多目标粒子群算法[J].计算机应用研究,2012,29(5):1720-1722,1736,4.基金项目
甘肃省自然科学基金资助项目(096RJZA088,107RJYA070) （096RJZA088,107RJYA070）
