一种多Agent协商中多目标群决策算法  

A Multi-objective Group Decision Making Algorithm in Multi-agent Negotiation

作　　者：张朝昆[1] 王会英[2] 董东[1] 

机构地区：[1]河北师范大学数学与信息科学学院,河北石家庄050016 [2]河北农业大学理学院,河北保定071000

出　　处：《南京师大学报（自然科学版）》2010年第3期116-121,共6页Journal of Nanjing Normal University(Natural Science Edition)

基　　金：河北省教育厅科学研究计划项目(ZH200815);河北师范大学科研基金资助项目(L2006Q02)

摘　　要：为解决多Agent多目标群决策情形中属性的权重或决策Agent的权重未知时无法进行有效决策的问题,提出了采用迭代思想改进模糊多目标群决策模糊优选算法的途径.在模糊多目标群决策中,将未知模糊权重通过有效地迭代计算得出,从而确定出决策的最优排序结果.实例演算证明该算法可行且决策时间较短.To solve the problem that decisions can not be made effectually if the weights of attributes or decision agents were unknown in the multi-objective group decision makings for multi-agent,an improved optimal membership degree algorithm by utilize the iterative ideas for fuzzy multi-objective group decision makings is proposed.The unknown fuzzy weights can be computed by effective iterative and the order results of the decision can also be optimized.Finally,a simulation example is presented to prove that the algorithm is feasible and quick to make a decision.

关 键 词：AGENT协商 多目标群决策 未知模糊权重 迭代 优属度 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]