期刊文献+
共找到3篇文章
< 1 >
每页显示 20 50 100
基于粗集-未确知模型的高校信息化评价
1
作者 李娟 《信息与电脑》 2017年第14期43-45,48,共4页
笔者分析了影响高校信息化的评价指标,应用粗集理论对指标进行属性约简,提取核心指标,进而构建指标评价体系,然后采用未确知模型进行综合评价。最后通过对某市高校信息化情况的调研数据进行实证分析,以证明方法的有效性。笔者研究的粗集... 笔者分析了影响高校信息化的评价指标,应用粗集理论对指标进行属性约简,提取核心指标,进而构建指标评价体系,然后采用未确知模型进行综合评价。最后通过对某市高校信息化情况的调研数据进行实证分析,以证明方法的有效性。笔者研究的粗集-未确知模型应用于高校信息化评价可以有效消除一定主观因素,具有可行性,可以得到较客观科学的结果。 展开更多
关键词 高校信息化 粗集 属性约简 未确知综合评价模型
下载PDF
高层民用建筑火灾风险综合评估系统研究 被引量:24
2
作者 张立宁 张奇 +1 位作者 安晶 张丽华 《安全与环境学报》 CAS CSCD 北大核心 2015年第5期20-24,共5页
为构建更为完善、科学的高层民用建筑火灾风险评价指标体系,并进而建立未确知C-均值聚类模型,对高层民用建筑火灾风险状况进行综合评价,以确定其发生火灾的危险性等级。首先针对目前高层民用建筑火灾风险评估研究存在的不足,提出总体思... 为构建更为完善、科学的高层民用建筑火灾风险评价指标体系,并进而建立未确知C-均值聚类模型,对高层民用建筑火灾风险状况进行综合评价,以确定其发生火灾的危险性等级。首先针对目前高层民用建筑火灾风险评估研究存在的不足,提出总体思路。然后,基于危险源辨识,结合《高层民用建筑设计防火规范》,运用事故致因分析及专家调查等方法,分析影响高层民用建筑火灾发生的各种不确定性因素,建立了高层民用建筑火灾风险评价指标体系。在此基础上,根据高层民用建筑火灾风险评价的特点,引入未确知C-均值聚类智能化方法,建立了基于未确知聚类的高层民用建筑火灾风险综合评估模型,并进行了实证分析。结果表明,提出的高层民用建筑火灾风险综合评价系统可以保证高层建筑火灾风险评估的准确性。 展开更多
关键词 安全工程 高层民用建筑 火灾 风险评价 指标体系 未确知综合评价模型
下载PDF
Optimization model of unascertained measurement for underground mining method selection and its application 被引量:6
3
作者 刘爱华 董蕾 董陇军 《Journal of Central South University》 SCIE EI CAS 2010年第4期744-749,共6页
An optimization model of underground mining method selection was established on the basis of the unascertained measurement theory.Considering the geologic conditions,technology,economy and safety production,ten main f... An optimization model of underground mining method selection was established on the basis of the unascertained measurement theory.Considering the geologic conditions,technology,economy and safety production,ten main factors influencing the selection of mining method were taken into account,and the comprehensive evaluation index system of mining method selection was constructed.The unascertained evaluation indices corresponding to the selected factors for the actual situation were solved both qualitatively and quantitatively.New measurement standards were constructed.Then,the unascertained measurement function of each evaluation index was established.The index weights of the factors were calculated by entropy theory,and credible degree recognition criteria were established according to the unascertained measurement theory.The results of mining method evaluation were obtained using the credible degree criteria,thus the best underground mining method was determined.Furthermore,this model was employed for the comprehensive evaluation and selection of the chosen standard mining methods in Xinli Gold Mine in Sanshandao of China.The results show that the relative superiority degrees of mining methods can be calculated using the unascertained measurement optimization model,so the optimal method can be easily determined.Meanwhile,the proposed method can take into account large amount of uncertain information in mining method selection,which can provide an effective way for selecting the optimal underground mining method. 展开更多
关键词 mining engineering underground mining method optimization model unascertained measurement theory information entropy
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部