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信息系统性能效率评估方法
引用本文:黄文财,吴新杰,朱晓鹏,钟远生. 信息系统性能效率评估方法[J]. 计算机测量与控制, 2023, 31(8): 280-286
作者姓名:黄文财  吴新杰  朱晓鹏  钟远生
作者单位:广东产品质量监督检验研究院,,,
基金项目:广东省市场监督管理局科技项目(2022ZZ02)
摘    要:针对当前信息系统性能效率评估模型简单、评估结果具有随机性和模糊性的问题,给出一种信息系统性能效率评估方法;分析并绘制信息系统性能效率执行框架图,构建评估指标,应用改进的功效系数法从多层级角度归一化评估指标的评分,基于权重间的对比性和冲突性,构建综合多位专家主观权重和客观权重的多权重组合赋权法,既克服单一专家的主观偏向性,又综合考量主客观权重优点,并采用云模型结合组合赋权权重以自然语言描述性能效率综合评估结果,克服综合评估的模糊性与随机性;最后,将该方法应用于某大型CRM信息系统,结果表明该CRM系统综合评估等级为适中性能,基本满足性能效率的要求,该结果与预案评审结果一致,验证了该方法在性能效率评估中的有效性和适用性。

关 键 词:信息系统  性能效率评估  改进的功效系数法  多权重组合赋权  云模型
收稿时间:2022-11-02
修稿时间:2022-12-12

Evaluation Method of Information System Performance
Abstract:Aiming at the problem that the current evaluation model of information system performance efficiency is simple, and the evaluation results are random and fuzzy, an evaluation method of information system performance efficiency is designed. Analyze and draw the information system performance efficiency execution framework diagram, build evaluation indicators, apply the improved efficiency coefficient method to normalize the evaluation indicator scores from a multi-level perspective, and build a multi weight combination weighting method that combines the subjective weight and objective weight of multiple experts based on the contrast and conflict between weights, which not only overcomes the subjective bias of a single expert, but also comprehensively considers the advantages of subjective and objective weights, The cloud model combined with the combination of weighting weights is used to describe the comprehensive evaluation results of performance efficiency in natural language to overcome the fuzziness and randomness of the comprehensive evaluation; Finally, the method is applied to a large CRM information system, and the results show that the comprehensive evaluation grade of the CRM system is moderate, which basically meets the requirements of performance efficiency. The results are consistent with the plan review results, which verify the effectiveness and applicability of the method in performance efficiency evaluation.
Keywords:information system   performance efficiency evaluation   improved efficiency coefficient method   multi weight combination weighting   cloud model
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