CAJ | 학술논문

针对目前各领域数据的复杂性、概念边界的模糊性、需求的不确定性,该文提出了一种基于云模型的模糊数据挖掘分析方法,采用了云模型在定性语言值和定量数值之间的不确定转换模型,为定性与定量相结合的数据处理分析提供了有力的手段.其中包括:对数据进行概念和特征的模糊识别;建立隶属云模型,刻画数字特征;通过统计、计算、分析得到实际需求的分类信息.实验结果表明了该分析方法能在大量的复杂数据空间中挖掘出有价值的信息,符合实际应用.
침대목전각영역수거적복잡성、개념변계적모호성、수구적불학정성,해문제출료일충기우운모형적모호수거알굴분석방법,채용료운모형재정성어언치화정량수치지간적불학정전환모형,위정성여정량상결합적수거처리분석제공료유력적수단.기중포괄:대수거진행개념화특정적모호식별;건립대속운모형,각화수자특정;통과통계、계산、분석득도실제수구적분류신식.실험결과표명료해분석방법능재대량적복잡수거공간중알굴출유개치적신식,부합실제응용.
Currently, in many fields, data is complicated; the boundary of concept is fuzzy; the demand is uncertain. Then a method of fuzzy data mining based on cloud model is proposed in this paper. This method adopt a uncertain transforming model between qualitative concepts and quantitative expressions, and provide an effective tool for data processing analysis combining quality with quantity. The content include: fuzzy identification of concepts and characteristic on the data; the establishment of membership cloud model and the depiction of digital characteristics;getting classified information based on actual demand by sta?tistics, calculating and analysis. The results of experiment show that the valuable information can be mined in the large and com?plex data space by this analysis method with practical significance.