摘要
对多因素决策问题,首先提出了几何变权综合决策模型,给出几何惩罚型变权和几何激励型变权。其次分析了这两种变权向量的变权效果,阐明了几何变权综合的工作原理。最后,通过一个具体实例对该方法的应用进行了分析和验证。
For the multi-factor decision-making problem,ageometric variable weight synthetic decision-making model is proposed,and the geometric penalty variable weight and geometric incentive variable weight are given.Secondly,the variable weight effect of these two variable weight vectors is analyzed,and the working principle of geometric variable weight synthesis is expounded.Finally,the application of this method is analyzed and verified by a concrete example.
作者
桂丹萍
李德清
曾文艺
GUI Dan-ping;LI De-qing;ZENG Wen-yi(School of General Education,Minnan Science and Technology University,Quanzhou 362300,China;Data Science and Intelligent Engineering School,Xiamen Institute of Technology,Xiamen 361021,China;School of Artificial Intelligence,Beijing Normal University,Beijing 100875,China)
出处
《模糊系统与数学》
北大核心
2023年第3期168-174,共7页
Fuzzy Systems and Mathematics
基金
国家自然科学基金资助项目(10971243,61472043)
厦门工学院校级科研创新团队项目(KYTD202005)
闽南科技学院校级科研项目(MKKYTD202304)
关键词
变权综合
状态变权向量
几何变权
Variable Weights
State Variable Weight Vector
Weighted Geometric Average