基于广义权联系度距离的多属性决策模型

Multi-attribute Decision-Making Model Based on Connectivity Distance of Generalized Weight

针对多属性决策的不确定性问题,提出集对分析方法处理确定性不确定性问题.从确定性与不确定性辨证关系出发,将方案指标集与指标理想集作为集对,给出了各方案与正理想方案的广义权联系度距离定义、各方案与负理想方案的广义权联系度距离定义,讨论了现阶段集对分析在多属性决策中的应用情况,指出了其存在的不足,提出了基于广义权联系度距离的多属性决策模型,并将其应用于矿山设备优选中.应用表明,基于广义权联系度距离的多属性决策模型适合多个方案的优选,为多属性决策提供了一条新的途径.

For the uncertainty problem of multi-attribute decision-making,the set pair analysis was made to deal with both the certainty and uncertainty problems.In view of the dialectic relation between certainty and uncertainty,the schemed index set and ideal index set were taken as a set pair to define the connectivity distance of generalized weight between all other schemes and the positive scheme as well as the distance between all other schemes and the negative schemes.Discusses the present applications of the set pair analysis in multi-attribute decision-making,with the deficiency in applications pointed out.Then a multi-attribute decision-making model was proposed on the basis of connectivity distance of generalized weight,and it was applied to the optimum decision of mine equipment.The results showed that the model is adaptable to multi-project optimization,thus providing a new way to the multi-attribute decision-making.