CAJ | 학술논문

针对电网统计数据的质量评估问题，提出一种基于云模型的质量评估方法。利用云模型对评语进行软划分，借助逆向云发生器将评估结果转化为云模型，并由此构造一个评价综合云。最后通过基于云模型的相似度算法计算评价综合云与各评价等级云的相似度，借以确定统计数据所隶属的评价等级。通过实例分析，验证了该方法的可行性与有效性，同时能够较好地避免常规方法在定性评价时的主观随意性缺陷。
침대전망통계수거적질량평고문제，제출일충기우운모형적질량평고방법。이용운모형대평어진행연화분，차조역향운발생기장평고결과전화위운모형，병유차구조일개평개종합운。최후통과기우운모형적상사도산법계산평개종합운여각평개등급운적상사도，차이학정통계수거소대속적평개등급。통과실례분석，험증료해방법적가행성여유효성，동시능구교호지피면상규방법재정성평개시적주관수의성결함。
Aiming at the quality assessment issue of power grid statistics data, we propose a cloud model-based quality assessment method.It uses cloud model to make soft partition on the comments, and turns the evaluation result into cloud model with the aid of backward cloud generator, and then constructs a comprehensive evaluation cloud on this basis.At last, it calculates the similarity between the comprehensive evaluation cloud and the grade clouds of each evaluation through the cloud model-based similarity algorithm, thus to determine the evaluation grade the statistical data belongs to.Actual example analysis verifies the feasibility and effectiveness of the method, at the same time it can well avoid the defect of subjectivity and arbitrariness of the conventional method in qualitative evaluation.