摘要
采用实码加速遗传算法来解决传统TOPSIS算法在方案评选过程中存在方案距离理想解与负理想解同样近及指标权重选取主观两个问题,方便地获得了兼具决策方法适应性和决策者偏好的指标综合权重。应用实例证明了该方法的可行性和有效性。
The traditional TOPSIS method exists in two problems in the program selection process.One is that the ideal solution and negative ideal solution are both close to the program and the other is how to choose the weights.This paper uses Real Coded Accelerating Genetic Algorithm to avoid the above problems.And then,the combination weight of index both having the adaptability to the decision-making method and the decision-maker’s preference information is obtained conveniently.Through a specific example,it is proved that the proposed method is feasible and effective.
出处
《电子测试》
2013年第7X期62-63,55,共3页
Electronic Test
基金
上海市一流学科建设项目(S1201YLXK)
国家统计局科学研究计划项目(2012LY063)资助
关键词
TOPSIS法
实码加速遗传算法
预警体系
房地产
TOPSIS method
real coded accelerating genetic algorithm
forecasting systems
real estate