基于云模型的多元数据评价方法  

Evaluation method of multivariate data based on cloud model

作　　者：李金武[1] LI Jinwu(College of Information Engineering,Zhengzhou University of Science&Technology,Zhengzhou 450064,China)

机构地区：[1]郑州科技学院信息工程学院,河南郑州450064

出　　处：《河南科技学院学报（自然科学版）》2022年第3期41-47,共7页Journal of Henan Institute of Science and Technology(Natural Science Edition)

基　　金：国家自然科学基金(61462064);河南省科技攻关项目(142102210513);河南省高等学校重点科研项目(20B120003)。

摘　　要：针对多元数据不同属性特征,存在随机性,模糊性和量化特性不统一问题,提出一种基于云模型统一表示及评价方法.将多元数据归类为实数型、区间型和模糊型3种,并统一用云模型表示,考虑传统权重确定方法过于硬性,采用云模型表示多元数据不同属性权重,并利用云模型相似度理论对多元数据进行定性与定量评价.通过实例验证分析,该评价方法反映了评价过程中的不确定性,能够合理实现多元数据的综合评价.In view of the different attribute characteristics of multivariate data,the randomness,fuzziness and quantitative characteristics are not unified,a unified representation and evaluation method based on cloud model is proposed.Multivariate data were classified into three types:real,interval and fuzzy,and represented by cloud model.Considering that the traditional weight determination method was too rigid,the cloud model was used to represent the different attribute weights of multivariate data,and the similarity theory of cloud model was used to evaluate the multivariate data qualitatively and quantitatively.The evaluation method reflects the uncertainty in the evaluation process and can reasonably realize the comprehensive evaluation of multivariate data.

关 键 词：多元数据 云模型 相似度 评价 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]