基于限制相似优势关系的粗糙决策分析模型
发布时间：2018-07-17 15:35
【摘要】：针对信息不完全的偏好多属性决策问题,给出了一种基于拓展粗糙集的决策分析模型.首先提出了限制相似优势关系的概念;然后在限制相似优势关系下得到知识的粗糙近似,给出了分类决策规则.对比分析证明:限制相似优势关系既保留了相似优势关系的优点,又在一定程度上克服了相似优势关系的局限性.最后通过一个实例验证了所提出的模型对信息不完备决策系统的处理更符合实际情况.
[Abstract]:In this paper, a decision analysis model based on extended rough set is proposed to solve the problem of incomplete information preference multi-attribute decision making. Firstly, the concept of restricted similarity advantage relation is proposed, and then the rough approximation of knowledge is obtained under the restricted similarity advantage relation, and the classification decision rules are given. The comparative analysis shows that the limited similarity advantage relationship not only retains the advantages of similar advantage relationship, but also overcomes the limitation of similar advantage relationship to some extent. Finally, an example is given to verify that the proposed model is more suitable for the information incomplete decision system.
【作者单位】： 南京航空航天大学经济与管理学院;
【基金】：国家自然科学基金(70473037) 江苏省“青蓝工程”(2008)
【分类号】：C934
[Abstract]:In this paper, a decision analysis model based on extended rough set is proposed to solve the problem of incomplete information preference multi-attribute decision making. Firstly, the concept of restricted similarity advantage relation is proposed, and then the rough approximation of knowledge is obtained under the restricted similarity advantage relation, and the classification decision rules are given. The comparative analysis shows that the limited similarity advantage relationship not only retains the advantages of similar advantage relationship, but also overcomes the limitation of similar advantage relationship to some extent. Finally, an example is given to verify that the proposed model is more suitable for the information incomplete decision system.
【作者单位】： 南京航空航天大学经济与管理学院;
【基金】：国家自然科学基金(70473037) 江苏省“青蓝工程”(2008)
【分类号】：C934
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