基于直觉模糊偏好关系的多属性决策方法  

Intuitionist Fuzzy Preference Relations and Their Applications to Multi-attribute Decision Making

作　　者：时恩早[1] 张先哲[2] 

机构地区：[1]江苏食品药品职业技术学院信息工程学院,江苏淮安223003 [2]河南牧业经济学院信息与电子工程学院,郑州450044

出　　处：《控制工程》2017年第7期1352-1358,共7页Control Engineering of China

摘　　要：针对直觉模糊偏好信息环境下的决策问题,引入直觉模糊偏好关系有序一致性、期望模糊偏好关系以及直觉模糊偏好关系误差矩阵等概念;提出直觉模糊偏好关系加性一致性指数的定义,构建基于直觉模糊偏好关系有序一致性和加性一致性的决策方案优先关系排序方法。该方法在满足一定条件下能够快速有效的对方案进行优劣排序,同时能够对直觉模糊偏好关系的加性一致性进行修复,进而运用决策误差传递公式确定方案优先权重。最后通过云计算产品的选择实验说明该策略的可行性与有效性。For the decision making problems with intuitionist fuzzy preference information, some newdefinitions are introduced, including the order consistency of intuitionist fuzzy preference relation （IFPR）,expected fuzzy preference relation and error matrix of IFPR. Then, the additive consistency index of IFPR isproposed. A decision making approach is investigated to obtain the priority weights based on the additiveconsistency and order consistency of IFPR. The proposed approach not only can make decisions quickly andeffectively based on the order consistency in some cases, but also be able to repair the additive consistency ofIFPR. We further get the priority weight vector of the alternatives on the base of the error propagation formula.Finally, we apply our approach to select the cloud computing offerings, and the results illustrate the feasibilityand effectiveness of the proposed approach.

关 键 词：直觉模糊偏好关系 加性一致性 有序一致性 云计算产品 

分 类 号：O22[理学—运筹学与控制论]