期刊文献+

属性权重未知的区间型多属性决策方法 被引量:5

Interval Multi-attribute Decision Making Method with Unknown Attribute Weights
原文传递
导出
摘要 针对方案的属性值为区间数并且属性权重完全未知的多属性决策问题,提出了一种新的多属性决策方法.基于联系数理论,首先构建了联系数之间的距离公式;其次引入方案间相对相离度和相对相离度矩阵等概念及其计算公式;然后将区间数属性值转化为联系数表示,利用所提出的概念和公式进行多属性决策,从而得到方案间的优序排列.决策方法直观简单,避免了属性权重的计算.最后给出实例说明了提出的方法具有合理性和有效性. For a multi-attribute decision making problem,in which all attribute values are interval numbers and attribute weights unknown,a multi-attribute decision making method is presented.Based on connection theory,distance formula between connection numbers firstly is constructed.Secondly,the concepts and formulas for relative incidence degree and incidence comparative matrix are introduces.Then,through transforming the interval number into connection number,ranking alternatives is determinated by the concepts and formulas presented in this paper.This method is direct and simple,and avoids calculation of attribute weights.Finally,an example is given to demonstrate the rationality and validity of this decision making method.
作者 汪伦焰 曹永超 苏丽敏 李慧敏 赵荣生 WANG Lun-yan;CAO Yong-chao;SU Li-min;LI Hui-min;ZHAO Rong-sheng(School of Water Resources,North China University of Water Resources and Electric Power, Zhengzhou450046, China;Water Environment Governance and Ecological Restoration Academician Workstation of Henan Province,Zhengzhou 450002, China;Henan Water Conservancy Investment Water and Soil Resources Development Co. Ltd, Zhengzhou 450003,China;School of Management and Economics, North China University of Water Resources and Electric Power,Zhengzhou 450046, China)
出处 《数学的实践与认识》 北大核心 2019年第14期298-304,共7页 Mathematics in Practice and Theory
基金 2017年度河南省高校科技创新人才支持计划(2017-CX-023) 2018年度河南省水利科技攻关计划项目(GG201828) 2016年河南产学研合作项目(162107000050,162107000051) 河南省青年骨干教师(2018GGJS080)
关键词 区间数 联系数 相对相离度 距离公式 多属性决策 interval number connection number relative incidence degree distance formula multi-attribute decision making
  • 相关文献

参考文献9

二级参考文献83

共引文献245

同被引文献57

引证文献5

二级引证文献6

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部