运筹与管理2016，Vol.25Issue(2)：78-82,5.DOI:10.12005/orms.2016.0047
区间粗糙数多属性决策方法
Multi-attribute Decision Making Methodology with Interval Rough Number
摘要
Abstract
With respect to the two kinds of decision making problems that the attributes influence and interact on each other, and the attribute values are interval rough number, while the attribute weights are partly unknown or unknown , the thought of grey incidence analysis methodology is exploited to construct a novel interval rough multi attribute decision making model.The methodology, to begin with, based on the operation rules and the compari-son of the expected value of the interval rough number, the positive and negative ideal schemes are determined, and then the grey incidence analysis method is used to respectively construct the multi object optimization model of the attribute weights are partly unknown or unknown, so that the attribute weights and the expression of the attribute weights can respectively be determined, and then the comprehensive evaluation values and ranking of the schemes can be acquired.Finally, an example validates the feasibility and effectiveness of the novel model.关键词
多属性决策/区间粗糙数/期望值/优化模型/灰色关联分析Key words
multi-attribute decision making/interval rough number/expected value/optimization model/grey incidence analysis分类
管理科学引用本文复制引用
赵焕焕,菅利荣,刘勇..区间粗糙数多属性决策方法[J].运筹与管理,2016,25(2):78-82,5.基金项目
国家自然科学基金资助项目（71503103）；中央高校基本科研业务费专项资金资助-江苏省研究生培养创新工程（KYZZ-0096）；江苏省自然科学基金资助项目 （）
