基于AHP-CRITIC的D-最优混料设计优化金银花泡腾片配方

以金银花粉为主要原料,采用D-最优混料设计对金银花泡腾片混料进行优选,计算金银花泡腾片相关指标权重系数并对其进行综合评价。以金银花泡腾片的崩解时限、起泡性、感官评价作为评价指标,采用基于主观的层次分析(analytic hierarchy process,AHP)法、基于指标相关性的指标权重分析(criteria importance through intercriteria correlation,CRITIC)法和AHP-CRITIC复合加权法,通过计算指标的权重系数,分析比较单一和复合的赋权法结果,并利用傅里叶变换红外光谱(Fourier transform infrared spectroscopy,FTIR)对D-最优混料设计优化金银花泡腾片进行结构表征。结果表明,以AHP-CRITIC复合加权法得到的金银花泡腾片,崩解时限、起泡性和感官评分的复合权重系数分别是0.261、0.227和0.512;经D-最优混料设计优化得到的最优金银花泡腾片配方为金银花浸膏粉含量为23.40%、乳糖含量为34.40%、崩解剂含量为37.20%、聚乙二醇6000(polyethylene glycol 6000,PEG6000)含量为5%;通过红外光谱图发现金银花泡腾片中多酚与绿原酸等有效成分存在。

基于博弈论组合赋权和云模型的高校科技成果转化绩效评价研究

高校科技成果转化是我国高质量发展的重要新引擎,对其进行绩效评价的重要性日益凸显。面对评价过程中出现的不确定信息,引入云模型,提出了一种基于博弈论组合赋权和云模型的高校科技成果转化绩效评价模型,并采用IKLCM(improved Kullback-Leibler divergence based on cloud model)法计算云相似度距离,得出评价结果。通过对西南地区5个省份的高校进行实证分析,结果表明,该模型综合考虑主客观因素,组合权重科学合理,绩效云模型评价能得到准确可靠的评价结果。

基于眼动及生理指标的航空公司官网界面评价

分析影响航空界面设计优劣的因素,并为航空官网界面设计改进提供依据。以8个国内外航空公司官网首页作为研究样本,通过眼动追踪和生理实验得到客观数据,选取评价指标,采用CRITIC-TOPSIS法计算样本评价值。用户对界面关注程度的主要影响因素包括面积大小、颜色、亮度、饱和度等。眼动追踪和生理技术相结合的方法能有效评价航空界面设计优劣,提出具有针对性的改进意见,有效用于航空界面设计优化。

基于灰色-改进二元语义的导弹装备维修保障效能评估

针对导弹装备维修保障效能系统复杂庞大,指标间相互关联影响、数据信息获取困难且易丢失扭曲的现状,提出一种基于灰色—改进二元语义的方法对维修保障效能进行评估。该方法利用改进G1法和改进CRITIC(criteria importance though intercrieria correlation)法分别得出主客观权重,依据最小信息鉴别法获取综合权重,利用灰色聚类分析法将定量数据转化为二元语义形式,运用改进二元语义将定性语言评估信息进行转化并对完整系统进行评估。获取的各指标权重更加科学合理,避免了信息的丢失扭曲,评估结果更加准确。该模型评估结果与实际情况基本相符,能真实科学反映导弹装备维修保障效能水平并可针对性查找薄弱环节,可为导弹装备维修保障系统的管理和完善提供依据。

Safety Evaluation of Commercial Vehicle Driving Behavior Using the AHP–CRITIC Algorithm

To prevent and reduce road traffic accidents and improve driver safety awareness and bad driving be-haviors,we propose a safety evaluation method for commercial vehicle driving behavior.Three driving style clas-sification indexes were extracted using driving data from commercial vehicles and four primary and ten secondary safety evaluation indicators.Based on the stability of commercial vehicles transporting goods,the acceleration index is divided into three levels according to the statistical third quartile,and the evaluation expression of the safety index evaluation is established.Drivers were divided into conservative,moderate,and radical using K-means++.The weights corresponding to each index were calculated using a combination of the analytic hierarchy process(AHP)and criteria importance through intercriteria correlation(CRITIC),and the driving behavior scores of various drivers were calculated according to the safety index score standard.The established AHP-CRITIC safety evaluation model was verified using the actual driving behavior data of commercial vehicle drivers.The calculation results show that the proposed evaluation model can clearly distinguish between the types of drivers with different driving styles,verifying its rationality and validity.The evaluation results can provide a reference for transportation management departments and enterprises.