基于自然语言的模糊多属性云决策方法研究

借鉴云模型的研究思想，提出了基于自然语言的模糊多属性云决策方法，主要工作如下：首先，针对多属性群决策的属性评估集和等级评估集设计了等级描述云和等级评价云;然后，在此基础上设计了云归一化算法，实现了一个属性多个专家值的融合;最后，设计了云集结算法，该算法将多个属性值集结为一个方案值，进而比较获得最佳方案。云模型能够反映模糊性和随机性的关联，因此，该方法能够更加有效地权衡语言评价信息。最后，通过应用案例证明了该方法的简单性和可行性。

Study on the Approach of Fuzzy Multiattribute Cloud Decision Based on Natural Language

The paper used cloud modcl,and proposed a natural languagcbased fuzzy multiattributc cloud decision method. It includes mainly several parts as follows. First,the described rank cloud and the evaluated rank cloud respectively were presented to measure attribute rank and rank certainty degree. On the basis, cloud normalizing algorithm was presented to fuse several values of an attribute given by experts. Then, cloud aggregation algorithm was presented to integrate different attribute information and get every alternative value, and the most desirable alternative was selected according to their values. Cloud model can express the relationship between randomness and fuzziness, so the method is more effective to measure linguistic assessment information. Finally, a example with linguistic assessment information shows that the method is simple and feasible.