摘要
针对多粒度语义型、数值型和区间型信息混合的多属性群决策问题，提出了基于多粒度语义统一和二元语义表达模型的异质信息一致化处理方法；通过将二元语义评价矩阵转换为精确数值，采用VIKOR方法对决策对象进行排序，其中针对传统熵权法灵敏度太高会导致权重分配不合理的问题，利用改进熵权法确定指标权重；最后以某企业旋挖钻机的产品服务包设计方案评价为例，验证了所提方法的有效性。
Aiming at the problem of mixed multi-attribute group decision-making for multi-granularity linguistic information, real numbers and interval numbers, a heterogeneous information consistency method was proposed, which based on multi-granularity semantic unified method and 2-tuple linguistic representation model. By transforming 2- tuple linguistic evaluation matrix to the exact value, VIKOR is adopted to rank the alternatives. Considering the problem that sensitivity of the traditional entropy method is too high to cause the weight distribution to be unreasonable. The weights of criteria was determined by the improved entropy method. Finally, a case study of concept evaluation of rotating drill product and service package was presented to illustrate the effectiveness of the proposed approach.
出处
《机械设计与研究》
CSCD
北大核心
2018年第1期177-182,共6页
Machine Design And Research
基金
国家自然科学基金资助项目(71301104、71271138)
高等学校博士学科点专项科研基金资助课题(20133120120002)
上海市教育委员会科研创新项目(14YZ088)
上海市一流学科项目资助(S1201YLXK)
沪江基金资助(A14006)
关键词
混合多属性群决策
二元语义
VIKOR
改进熵权法
hybrid multi-attribute decision-making
two-tuple linguistic
VIKOR
improved entropy weight
作者简介
E-mail：llmagicstar@163．com潘亚虹（1995-），女，硕士生；主要研究方向：工业工程等，已发表论文1篇。;通讯作者
