论文:2012,Vol:30,Issue(5):647-651
引用本文:
朱怡安, 周延年, 夏平. 基于熵权的嵌入式计算机性能灰评估[J]. 西北工业大学
Zhu Yi'an, Zhou Yannian, Xia Ping. A New and Better Algorithm for Evaluation of Overall Performance of Embedded Computer through Combining Grey Evaluation with Entropy Weight[J]. Northwestern polytechnical university

基于熵权的嵌入式计算机性能灰评估
朱怡安, 周延年, 夏平
西北工业大学 计算机学院, 陕西 西安 710072
摘要:
为了克服传统的灰色综合评判中主观赋权的局限性,借鉴信息熵的思想,提出了熵权确定权重的方法,构造了基于熵权法的灰色综合评价模型,该模型运用熵权法和层次分析法相结合确定各个因素的权重系数,利用灰色评估原理和方法进行定量分析,并将该模型应用到嵌入式计算机性能评价模型中。案例表明,该方法避免了传统灰评估方法的主观性太强,使灰评估模型既具有客观性,同时具有专家的经验判断,提高了嵌入式计算机性能评估的可靠性,为嵌入式计算机性能综合评价提供了新方法。
关键词:    层次分析法    熵权法    灰评估    性能评估   
A New and Better Algorithm for Evaluation of Overall Performance of Embedded Computer through Combining Grey Evaluation with Entropy Weight
Zhu Yi'an, Zhou Yannian, Xia Ping
Department of Computer Science and Engineering,Northwestern Polytechnical University,Xi'an 710072,China
Abstract:
Sections 1 through 3 of the full pater explain our algorithm mentioned in the title, which we believe isnew and better and whose core consists of:"In order to overcome the subjective limitation in traditional grey evalua-tion, a new model for comprehensive evaluation, i.e., entropy weight comprehensive evaluation model, was estab-lished; the modified weight values corresponded to different evaluation indexes.And the model was applied to eval-uating the performance of embedded computer.All kinds of factors having influence on embedded computer per-formance were established and the weight of each factor was calculated objectively with an entropy weight-based co-efficient method combined with analytic hierarchy process.".Finally, an empirical analysis, presented in section4, demonstrates preliminarily that our model avoided the drawback of the traditional grey evaluation, whose subjec-tivity is relatively strong, thus showing that our model is indeed more effective.
Key words:    algorithms    efficiency    embedded systems    entropy    mathematical models    measurements    schematicdiagrams;analytic hierarchy process    entropy weight    grey evaluation   
收稿日期: 2011-12-01     修回日期:
DOI:
基金项目: 国家自然科学基金(60573101资助)资助
通讯作者:     Email:
作者简介: 朱怡安(1961-),西北工业大学教授、博士生导师,主要从事嵌入式系统、并行处理技术等研究。
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