摘要
针对属性值为区间粗糙数且权重未知的多属性决策问题,提出了基于相似系数和联系数的多属性决策方法,该方法可以弥补定性分析方法的不足。结合叉车液压泵维修方式选择的实例,在维修策略选择所依据的属性上引入了有关可靠性的维修指标,并同时考虑了经济性、时效性等指标。解决实例的整个运算过程及结果很好地验证了该方法的有效性。对利用模糊数学处理多属性决策问题进行了理论与实践的探索。
For the MADM problems in which the attribute decision-making method based on the similarity coefficient values are the interval rough numbers, a multi-attribute and connection numbers is put forward to compensate for the lack of qualitative analysis method. The reliability in the indicators of maintenance strategy selection is intro- duced and the economy, timeliness and other indicators are taken into account with combinaton of the instance of forklift hydraulic pump maintenance-mode selection. The whole operation process and results demonstrate the effec- tiveness of this method. The multi-attribute decision-making problems are deeply explored in the theory and prac- tice by using fuzzy mathematics.
出处
《太原科技大学学报》
2016年第1期45-49,共5页
Journal of Taiyuan University of Science and Technology
基金
"十二五"国家科技支撑计划(2011BAK06B05)
2014山西省研究生教育改革研究课题(20142061)
2014校级研究生教育改革研究课题(20144006)
关键词
多属性决策
区间粗糙数
液压泵
RCM
multi-attribute decision-making, interval rough numbers, hydraulic pump, RCM