摘要
为了从不同维度综合刻画事物的模糊性,用三角结构元线性表示了区间值模糊数,定义了区间值模糊数的运算及排序;通过对称变换实现了成本型指标的效益型转化,通过平移与压缩实现了属性的归一化,确定了标准评判矩阵.结果表明,区间值模糊数的模糊多属性决策,综合考虑了多个专家意见的融合以及概念的模糊性.研究结论拓展了模糊多属性决策研究的思路,使之更贴近实际.
In order to comprehensively depict the fuzziness of things from different angles,the interval-valued fuzzy numbers are represented linearly by triangular structured element,and the operation and sorting of interval-valued fuzzy numbers are defined.By means of symmetry transformation,the cost-type index can be converted to benefit type,and the attribute can be normalized by translation and compression,so as to determine the standard evaluation matrix.The results show that the fuzzy multiple attribute decision-making with interval-valued fuzzy numbers combines the opinions of multiple specialists and the fuzziness of concept.The research conclusions expand the thinking of fuzzy multiple attribute decision-making and makes it more practical.
作者
王甜甜
程奇峰
郭嗣琮
WANG Tiantian;CHENG Qifeng;GUO Sicong(College of Science,Liaoning Technical University,Fuxin 123000,China;Research and Development Center,China Academy of Launch Vehicle Technology,Beijing 100076,China)
出处
《辽宁工程技术大学学报（自然科学版）》
CAS
北大核心
2020年第1期86-92,共7页
Journal of Liaoning Technical University (Natural Science)
基金
国家自然科学基金(61304090).
关键词
区间值模糊数
多属性决策
结构元
效益型
归一化
interval-valued fuzzy number
multiple attribute decision-making
structured element
benefit-type
normalization
作者简介
王甜甜(1993-),女,江苏连云港人,硕士研究生,主要从事认知科学和智能数学方面的研究.
