Sustainability evaluation of regional microgrid interconnection system is conducive to a profound and comprehensive understanding of the impact of interconnection system projects.In order to realize the comprehensive ...Sustainability evaluation of regional microgrid interconnection system is conducive to a profound and comprehensive understanding of the impact of interconnection system projects.In order to realize the comprehensive and scientific intelligent evaluation of the system,this paper proposes an evaluation model based on combination entropy weight rank order-technique for order preference by similarity to an ideal solution(TOPSIS)and Niche Immune Lion Algorithm-Extreme Learning Machine with Kernel(NILAKELM).Firstly,the sustainability evaluation indicator system of the regional microgrid interconnection system is constructed fromfour aspects of economic,environmental,social,and technical characteristics,and the evaluation indicators are explained.Then,the classical evaluationmodel based on TOPSIS is constructed,and the entropy weight method and rank order method(RO)are coupled to obtain the indicator weight.The niche immune algorithm is used to improve the lion algorithm,and the improved lion algorithm is used to optimize the parameters of KELM,and the intelligent evaluation model based on NILA-KELM is obtained to realize fast real-time calculation.Finally,the scientificity and accuracy of themodel proposed in this paper are verified.The model proposed in this paper has the lowest RMSE,MAE and RE values,indicating that its intelligent evaluation results are the most accurate.This study is conducive to the horizontal comparison of the overall performance of regional microgrid interconnection system projects,helps investors to choose the most promising project scheme,and helps the government to find feasible project.展开更多
多视图聚类已经被广泛研究,它能够采用可用的多源信息来实现更好的聚类性能.然而,大多数之前的工作仍存在两个不足:(1)它们通常关注多视图属性特征的场景,很少留意到多视图属性图数据;(2)它们主要尝试发现一致的结构或多个视图之间的关...多视图聚类已经被广泛研究,它能够采用可用的多源信息来实现更好的聚类性能.然而,大多数之前的工作仍存在两个不足:(1)它们通常关注多视图属性特征的场景,很少留意到多视图属性图数据;(2)它们主要尝试发现一致的结构或多个视图之间的关系,而忽略了多视图观测之间潜在的高阶相关性。为了解决这些问题,我们从广义角度出发,提出了一种新颖的方法,称为混合阶相似性的多视图聚类(Multiview Clustering by Hybridorder Affinity,MCHA).它将结构图和多视图属性特征巧妙融合,同时考虑了低秩概率相似性图和混合阶的相关性.具体而言,我们通过图过滤策略构建了一组保留几何结构的视图特定的平滑表示.同时,我们将从平滑表示中学习得到的多视图概率相似性图堆叠成一个张量,并对该张量给予低秩属性的约束.这可以很好地恢复视图间更高阶的相关性.在八个基准数据集上的实验表明,我们所提出的MCHA方法具有最先进的有效性.展开更多
This article compares the size of selected subsets using nonparametric subset selection rules with two different scoring rules for the observations. The scoring rules are based on the expected values of order statisti...This article compares the size of selected subsets using nonparametric subset selection rules with two different scoring rules for the observations. The scoring rules are based on the expected values of order statistics of the uniform distribution (yielding rank values) and of the normal distribution (yielding normal score values). The comparison is made using state motor vehicle traffic fatality rates, published in a 2016 article, with fifty-one states (including DC as a state) and over a nineteen-year period (1994 through 2012). The earlier study considered four block design selection rules—two for choosing a subset to contain the “best” population (i.e., state with lowest mean fatality rate) and two for the “worst” population (i.e., highest mean rate) with a probability of correct selection chosen to be 0.90. Two selection rules based on normal scores resulted in selected subset sizes substantially smaller than corresponding rules based on ranks (7 vs. 16 and 3 vs. 12). For two other selection rules, the subsets chosen were very close in size (within one). A comparison is also made using state homicide rates, published in a 2022 article, with fifty states and covering eight years. The results are qualitatively the same as those obtained with the motor vehicle traffic fatality rates.展开更多
目的建立超高效液相色谱法(ultra performance liquid chromatography,UPLC)快速测定蜂胶提取物中的14种化学成分,结合多元统计分析方法对不同厂家的蜂胶提取物质量进行综合评价。方法收集来自不同厂家的17批蜂胶提取物样品,采用UPLC采...目的建立超高效液相色谱法(ultra performance liquid chromatography,UPLC)快速测定蜂胶提取物中的14种化学成分,结合多元统计分析方法对不同厂家的蜂胶提取物质量进行综合评价。方法收集来自不同厂家的17批蜂胶提取物样品,采用UPLC采集色谱图,甲醇-0.2%磷酸水溶液为流动相,梯度洗脱,同时测定咖啡酸、p-香豆酸、阿魏酸、异阿魏酸、3,4-二甲氧基肉桂酸、咖啡酸苯乙酯、阿替匹林C、槲皮素、山奈素、芹菜素、异鼠李素、乔松素、白杨素、高良姜素的含量,运用统计学软件进行主成分分析(principal component analysis,PCA)、聚类分析(clustering analysis,CA)、偏最小二乘-判别分析(partial least squares-discriminant analysis,PLS-DA),筛选分析质量差异标志物。通过熵权法计算各指标权重,将结果应用于优劣解距离法(technique for order preference by similarity to ideal solution,TOPSIS)和秩和比法(rank sum ratio,RSR)构建综合评价模型,评价不同批次的蜂胶提取物质量优劣。结果14个指标成分在各自的浓度范围内线性关系良好(r≥0.9992),平均加样回收率是96.37%~102.21%,相对标准偏差小于2%。化学计量学结果表明17批样品聚为4类,同一个厂家的样品聚为一类,不同厂家的样品存在明显差异,3,4-二甲氧基肉桂酸、异阿魏酸、槲皮素、高良姜素、阿替匹林C、咖啡酸苯乙酯可能是影响厂家质量差异的潜在标志物。通过熵权-TOPSIS、熵权-RSR以及两者相结合的方式构建的综合质量评价模型,对不同批次蜂胶提取物的质量优劣排序结果较为一致。结论基于UPLC的多指标测定方法准确便捷,结合PCA、CA、PLS-DA和TOPSIS-RSR建立的评价模式能够有效分析不同厂家的差异性,为蜂胶提取物的整体质量评价提供参考。展开更多
针对雷达装备测试性评估这一不确定性、多属性决策问题,依据装备特点和测试性要求,构建了雷达装备测试性评估指标体系。采用改进的模糊层次分析法(fuzzy analytical hierarchy process,FAHP)和熵权法对评估指标进行主客观赋权。在评估...针对雷达装备测试性评估这一不确定性、多属性决策问题,依据装备特点和测试性要求,构建了雷达装备测试性评估指标体系。采用改进的模糊层次分析法(fuzzy analytical hierarchy process,FAHP)和熵权法对评估指标进行主客观赋权。在评估模型中使用相对熵替换逼近理想解排序法(technique for order preference by similarity to an ideal solution,TOPSIS)的欧式距离,同时引入秩和比法(rank-sum ratio,RSR),利用改进的TOPSIS-RSR法对备选方案进行测试性优劣等级分档并排序,通过实例分析验证了该模型的有效性。展开更多
Efficient decision-making remains an open challenge in the research community,and many researchers are working to improve accuracy through the use of various computational techniques.In this case,the fuzzification and...Efficient decision-making remains an open challenge in the research community,and many researchers are working to improve accuracy through the use of various computational techniques.In this case,the fuzzification and defuzzification processes can be very useful.Defuzzification is an effective process to get a single number from the output of a fuzzy set.Considering defuzzification as a center point of this research paper,to analyze and understand the effect of different types of vehicles according to their performance.In this paper,the multi-criteria decision-making(MCDM)process under uncertainty and defuzzification is discussed by using the center of the area(COA)or centroidmethod.Further,to find the best solution,Hurwicz criteria are used on the defuzzified data.Anewdecision-making technique is proposed using Hurwicz criteria for triangular and trapezoidal fuzzy numbers.The proposed technique considers all types of decision makers’perspectives such as optimistic,neutral,and pessimistic which is crucial in solving decisionmaking problems.A simple case study is used to demonstrate and discuss the Centroid Method and Hurwicz Criteria for measuring risk attitudes among decision-makers.The significance of the proposed defuzzification method is demonstrated by comparing it to previous defuzzification procedures with its application.展开更多
Classifying and ranking the huge amounts of landscape planning works of urban wetland park is always difficult due to the multi-functions （ecological, leisure, educational and disaster prevention） of the urban wetla...Classifying and ranking the huge amounts of landscape planning works of urban wetland park is always difficult due to the multi-functions （ecological, leisure, educational and disaster prevention） of the urban wetland park. Therefore, an optimizing rank system is urgently needed. Analytic Hierarchy Process （AHP） and Technique for Order Preference by Similarity to Ideal Solution （TOPSIS） models were used to rank the planning works of 30 urban wetland park based on four mainly factors, which included landscape ecological planning, landscape planning, ecological planning and economic planning. The study indicated that the AHP- TOPSIS model had good discrimination in the classification and ranking of landscape planning works of urban wetland park and it was also applicable to the planning works of other urban greenbelts.展开更多
基金This work is supported by Natural Science Foundation of Hebei Province,China(Project No.G2020403008)Humanities and Social Science Research Project of Hebei Education Department,China(Project No.SD2021044)the Fundamental Research Funds for the Universities in Hebei Province,China(Project No.QN202210).
文摘Sustainability evaluation of regional microgrid interconnection system is conducive to a profound and comprehensive understanding of the impact of interconnection system projects.In order to realize the comprehensive and scientific intelligent evaluation of the system,this paper proposes an evaluation model based on combination entropy weight rank order-technique for order preference by similarity to an ideal solution(TOPSIS)and Niche Immune Lion Algorithm-Extreme Learning Machine with Kernel(NILAKELM).Firstly,the sustainability evaluation indicator system of the regional microgrid interconnection system is constructed fromfour aspects of economic,environmental,social,and technical characteristics,and the evaluation indicators are explained.Then,the classical evaluationmodel based on TOPSIS is constructed,and the entropy weight method and rank order method(RO)are coupled to obtain the indicator weight.The niche immune algorithm is used to improve the lion algorithm,and the improved lion algorithm is used to optimize the parameters of KELM,and the intelligent evaluation model based on NILA-KELM is obtained to realize fast real-time calculation.Finally,the scientificity and accuracy of themodel proposed in this paper are verified.The model proposed in this paper has the lowest RMSE,MAE and RE values,indicating that its intelligent evaluation results are the most accurate.This study is conducive to the horizontal comparison of the overall performance of regional microgrid interconnection system projects,helps investors to choose the most promising project scheme,and helps the government to find feasible project.
文摘多视图聚类已经被广泛研究,它能够采用可用的多源信息来实现更好的聚类性能.然而,大多数之前的工作仍存在两个不足:(1)它们通常关注多视图属性特征的场景,很少留意到多视图属性图数据;(2)它们主要尝试发现一致的结构或多个视图之间的关系,而忽略了多视图观测之间潜在的高阶相关性。为了解决这些问题,我们从广义角度出发,提出了一种新颖的方法,称为混合阶相似性的多视图聚类(Multiview Clustering by Hybridorder Affinity,MCHA).它将结构图和多视图属性特征巧妙融合,同时考虑了低秩概率相似性图和混合阶的相关性.具体而言,我们通过图过滤策略构建了一组保留几何结构的视图特定的平滑表示.同时,我们将从平滑表示中学习得到的多视图概率相似性图堆叠成一个张量,并对该张量给予低秩属性的约束.这可以很好地恢复视图间更高阶的相关性.在八个基准数据集上的实验表明,我们所提出的MCHA方法具有最先进的有效性.
文摘This article compares the size of selected subsets using nonparametric subset selection rules with two different scoring rules for the observations. The scoring rules are based on the expected values of order statistics of the uniform distribution (yielding rank values) and of the normal distribution (yielding normal score values). The comparison is made using state motor vehicle traffic fatality rates, published in a 2016 article, with fifty-one states (including DC as a state) and over a nineteen-year period (1994 through 2012). The earlier study considered four block design selection rules—two for choosing a subset to contain the “best” population (i.e., state with lowest mean fatality rate) and two for the “worst” population (i.e., highest mean rate) with a probability of correct selection chosen to be 0.90. Two selection rules based on normal scores resulted in selected subset sizes substantially smaller than corresponding rules based on ranks (7 vs. 16 and 3 vs. 12). For two other selection rules, the subsets chosen were very close in size (within one). A comparison is also made using state homicide rates, published in a 2022 article, with fifty states and covering eight years. The results are qualitatively the same as those obtained with the motor vehicle traffic fatality rates.
文摘目的建立超高效液相色谱法(ultra performance liquid chromatography,UPLC)快速测定蜂胶提取物中的14种化学成分,结合多元统计分析方法对不同厂家的蜂胶提取物质量进行综合评价。方法收集来自不同厂家的17批蜂胶提取物样品,采用UPLC采集色谱图,甲醇-0.2%磷酸水溶液为流动相,梯度洗脱,同时测定咖啡酸、p-香豆酸、阿魏酸、异阿魏酸、3,4-二甲氧基肉桂酸、咖啡酸苯乙酯、阿替匹林C、槲皮素、山奈素、芹菜素、异鼠李素、乔松素、白杨素、高良姜素的含量,运用统计学软件进行主成分分析(principal component analysis,PCA)、聚类分析(clustering analysis,CA)、偏最小二乘-判别分析(partial least squares-discriminant analysis,PLS-DA),筛选分析质量差异标志物。通过熵权法计算各指标权重,将结果应用于优劣解距离法(technique for order preference by similarity to ideal solution,TOPSIS)和秩和比法(rank sum ratio,RSR)构建综合评价模型,评价不同批次的蜂胶提取物质量优劣。结果14个指标成分在各自的浓度范围内线性关系良好(r≥0.9992),平均加样回收率是96.37%~102.21%,相对标准偏差小于2%。化学计量学结果表明17批样品聚为4类,同一个厂家的样品聚为一类,不同厂家的样品存在明显差异,3,4-二甲氧基肉桂酸、异阿魏酸、槲皮素、高良姜素、阿替匹林C、咖啡酸苯乙酯可能是影响厂家质量差异的潜在标志物。通过熵权-TOPSIS、熵权-RSR以及两者相结合的方式构建的综合质量评价模型,对不同批次蜂胶提取物的质量优劣排序结果较为一致。结论基于UPLC的多指标测定方法准确便捷,结合PCA、CA、PLS-DA和TOPSIS-RSR建立的评价模式能够有效分析不同厂家的差异性,为蜂胶提取物的整体质量评价提供参考。
文摘针对雷达装备测试性评估这一不确定性、多属性决策问题,依据装备特点和测试性要求,构建了雷达装备测试性评估指标体系。采用改进的模糊层次分析法(fuzzy analytical hierarchy process,FAHP)和熵权法对评估指标进行主客观赋权。在评估模型中使用相对熵替换逼近理想解排序法(technique for order preference by similarity to an ideal solution,TOPSIS)的欧式距离,同时引入秩和比法(rank-sum ratio,RSR),利用改进的TOPSIS-RSR法对备选方案进行测试性优劣等级分档并排序,通过实例分析验证了该模型的有效性。
基金The Research Center for Advanced Materials Science(RCAMS)at King Khalid University,Saudi Arabia,for funding this work under the Grant Number RCAMS/KKU/019-20.
文摘Efficient decision-making remains an open challenge in the research community,and many researchers are working to improve accuracy through the use of various computational techniques.In this case,the fuzzification and defuzzification processes can be very useful.Defuzzification is an effective process to get a single number from the output of a fuzzy set.Considering defuzzification as a center point of this research paper,to analyze and understand the effect of different types of vehicles according to their performance.In this paper,the multi-criteria decision-making(MCDM)process under uncertainty and defuzzification is discussed by using the center of the area(COA)or centroidmethod.Further,to find the best solution,Hurwicz criteria are used on the defuzzified data.Anewdecision-making technique is proposed using Hurwicz criteria for triangular and trapezoidal fuzzy numbers.The proposed technique considers all types of decision makers’perspectives such as optimistic,neutral,and pessimistic which is crucial in solving decisionmaking problems.A simple case study is used to demonstrate and discuss the Centroid Method and Hurwicz Criteria for measuring risk attitudes among decision-makers.The significance of the proposed defuzzification method is demonstrated by comparing it to previous defuzzification procedures with its application.
基金Supported by Henan Major Scientific and Technological Project (102102310246)
文摘Classifying and ranking the huge amounts of landscape planning works of urban wetland park is always difficult due to the multi-functions （ecological, leisure, educational and disaster prevention） of the urban wetland park. Therefore, an optimizing rank system is urgently needed. Analytic Hierarchy Process （AHP） and Technique for Order Preference by Similarity to Ideal Solution （TOPSIS） models were used to rank the planning works of 30 urban wetland park based on four mainly factors, which included landscape ecological planning, landscape planning, ecological planning and economic planning. The study indicated that the AHP- TOPSIS model had good discrimination in the classification and ranking of landscape planning works of urban wetland park and it was also applicable to the planning works of other urban greenbelts.
