现代电子技术2018，Vol.41Issue(6)：158-161,4.DOI:10.16652/j.issn.1004-373x.2018.06.038
权重信息不完全的混合型多属性决策方法研究
An approach for hybrid multiple attribute decision making with incomplete weight information
摘要
Abstract
In allusion to the problems that attribute weight information is incomplete and the attribute values are precise numbers in the hybrid multiple attribute decision making with linguistic labels,interval numbers,intuitionistic fuzzy numbers and interval intuitionistic fuzzy numbers,correlation coefficient between attribute values of each form is built according to five different forms of normalized definitions for attribute values. A single target optimization model based on preference degree weighted averaging(PDWA)operator and TOPSIS method is established to solve the weight of each attribute. The ranking result is obtained by means of linear aggregation of attribute values and attribute weights. The feasibility and operability of the method are verified by means of numerical examples.关键词
混合型多属性决策/不完全权重/偏爱程度的加权平均算子/逼近理想解法/相关系数/单目标最优化模型Key words
hybrid multiple attribute decision making/incomplete weight/PDWA operator/TOPSIS method/correlation coefficient/single target optimization model分类
信息技术与安全科学引用本文复制引用
叶帆,叶永..权重信息不完全的混合型多属性决策方法研究[J].现代电子技术,2018,41(6):158-161,4.基金项目
国家自然科学基金青年项目资助(71601146) （71601146）
浙江省高等教育课堂教学改革项目资助(kg20160541) （kg20160541）
温州市科技局公益性软科学项目(R20170009) Project Supported by National Natural Science Foundation of China for Youth(71601146),Classroom Teaching Reform for Higher Education of Zhejiang Province(kg20160541),Public Welfare Soft Science Project of Wenzhou Science and Technology Bureau(R20170009) （R20170009）
