A novel approach to fuzzy soft sets in decision making based on grey relational analysis and MYCIN certainty factor
A novel approach to fuzzy soft sets in decision making based on grey relational analysis and MYCIN certainty factor
复制标题
DOI：
10.1080/18756891.2015.1099903
复制
发表时间：
2015-09
期刊：
影响因子：
--
通讯作者：
Ningxin Xie;Yu Han;Zhaowen Li
中科院分区：
文献类型：
--
作者：
Ningxin Xie;Yu Han;Zhaowen Li
摘要本文提出了一种基于灰色关联分析和MYCIN确定性因子的决策新方法，用模糊软集描述决策问题。首先利用灰色关联分析求得灰均关联度，从而得到各参数的不确定度。在不确定度的基础上，我们得到了每个独立方案与每个参数的本质不确定因素。根据MYCIN确定性因子组合规则进行信息融合，得到最佳方案。通过三个算例，与平均潜力法进行比较，并在医学诊断问题上的应用，证明了该方法的可行性和有效性。
AbstractThis paper proposes a novel approach to decision making based on grey relational analysis and MYCIN certainty factor, which describes decision making problems with fuzzy soft sets. Firstly, we utilize grey relational analysis to obtain the grey mean relational degree, and the uncertain degree of various parameters is acquired. On the basis of uncertain degree, we obtain the essence uncertainty factor of each independent alternative with each parameter. Information can be fused in accordance with MYCIN certainty factor combination rule and the best alternatives are achieved. By using three examples, comparing with the mean potentiality approach and giving an application to medical diagnosis problems, the feasibility and effectiveness of the approach are demonstrated.