摘要
研究语言偏好信息下的群决策问题.定义了反映群体共识的两个测度指标,分别反映群体内所有专家的一致性水平及专家的个人观点与群体观点的分歧程度;基于共识测度指标构建一种语言标度的颗粒优化模型,提出了求解语言标度颗粒最佳分界点的改进PSO算法,并给出一种对方案排序进行择优的群决策方法.最后,通过一个算例说明了所提出方法的可行性和有效性.
Group decision making problems with linguistic preference information are studied. Two measures of group consensus are defined to reflect respectively the level of agreement among all the experts and the difference degree between the experts＇ individual opinions and the collective one. Based on the consensus measure indicators, an optimization model of linguistic scales granulation is constructed. An improved PSO algorithm is established to obtain the optimal cutoff points for the linguistic scales. A group decision-making method is developed, and a ranking order of alternatives and the best alternative are obtained. Finally, a numerical example illustrates the feasibility and effectiveness of the proposed method.
出处
《控制与决策》
EI
CSCD
北大核心
2015年第5期789-797,共9页
Control and Decision
基金
国家自然科学基金项目(71171112)
江苏省高校哲学社科重点项目(2012ZDIXM007)
江苏省高校哲学社会科学重点研究基地重大项目(2012JDXM003)
中央高校基本科研业务费专项资金项目(NS2014086)
广义虚拟经济研究专项(GX2013-1017(M))
安徽工业大学青年教师科研基金项目(QZ201321)
江苏省普通高校研究生科研创新计划项目(KYZZ 0095)
关键词
语言偏好
共识
颗粒化
粒子群优化
linguistic preference
consensus
granulation
particle swarm optimization
