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学者姓名：黄建华
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Abstract ：
The occurrence of safety incidents for existing glass curtain walls (EGCWs) pronounced menace to the security of both lives and property. Undertaking safety assessment for EGCWs carries essential practical significance. However, current fuzzy evaluation methods overlook the uncertainty of indicator weights and the intricacies of rank attribution. In response, this paper proposes a novel approach to the safety assessment of EGCWs. This research establishes a framework of evaluation indicators for EGCWs and divides the safety ranks of each indicator into four tiers: Safe, Mild risk, Moderate risk, and High risk. Quantitative and qualitative indicators are quantified via the variable fuzzy cloud algorithm and cloud model. The information cloud combination weighting method is introduced to determine the weight clouds of indicators. Finally, a two-dimensional assessment result is derived using an improved fuzzy comprehensive evaluation method and fuzzy entropy. The exemplified outcomes demonstrate that this approach captures the safety status of evaluation subjects based on risk ranks, and fuzzy entropy addresses two issues: inconsistent level attribution and the comparison of identical risk ranks. The appraisal method further unveils the safety details of EGCWs, with findings that align consistently with the actual situation.
Keyword ：
cloud model cloud model existing glass curtain wall existing glass curtain wall fuzzy entropy fuzzy entropy Safety evaluation Safety evaluation variable fuzzy cloud algorithm variable fuzzy cloud algorithm
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| GB/T 7714 | Zhang, Xiang , Huang, Jianhua . Safety assessment of existing glass curtain wall based on fuzzy entropy and comprehensive cloud [J]. | JOURNAL OF INTELLIGENT & FUZZY SYSTEMS , 2024 , 46 (2) : 5125-5137 . |
| MLA | Zhang, Xiang 等. "Safety assessment of existing glass curtain wall based on fuzzy entropy and comprehensive cloud" . | JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 46 . 2 (2024) : 5125-5137 . |
| APA | Zhang, Xiang , Huang, Jianhua . Safety assessment of existing glass curtain wall based on fuzzy entropy and comprehensive cloud . | JOURNAL OF INTELLIGENT & FUZZY SYSTEMS , 2024 , 46 (2) , 5125-5137 . |
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碳交易价格受到宏观经济、能源政策等多种因素的影响,表现出强波动性、非线性等特征,给碳交易价格的准确预测带来巨大困难.针对这一问题,基于二次分解和误差修正策略构建一种碳交易价格预测模型:首先,使用浣熊优化算法优化的变分模态分解方法分解碳价序列,降低原始序列的复杂度;其次,使用经验小波变换对变分模态分解产生的残差序列进行二次分解,充分提取残差序列中的有效信息;然后,使用浣熊优化算法优化的极限学习机对各分量进行预测,获得初始预测结果和误差序列;最后,使用基本和浣熊优化算法优化的极限学习机对误差序列进行分解和预测,并利用误差预测结果对初始预测结果进行修正,得到最终预测结果.选取深圳、湖北和福建 3个碳交易市场的碳价数据进行实证验证,结果表明,所提出的模型相比于其他对照模型具有更优异的预测精度和稳定性,有效提高碳价预测的准确性.
Keyword ：
二次分解 二次分解 极限学习机 极限学习机 浣熊优化算法 浣熊优化算法 碳交易价格 碳交易价格 误差修正 误差修正
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| GB/T 7714 | 何志超 , 黄建华 . 基于二次分解和误差修正的中国碳交易价格预测 [J]. | 科技管理研究 , 2024 , 44 (13) : 200-214 . |
| MLA | 何志超 等. "基于二次分解和误差修正的中国碳交易价格预测" . | 科技管理研究 44 . 13 (2024) : 200-214 . |
| APA | 何志超 , 黄建华 . 基于二次分解和误差修正的中国碳交易价格预测 . | 科技管理研究 , 2024 , 44 (13) , 200-214 . |
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Selecting suppliers for prefabricated components (PCs) involves a complex decision-making process, frequently relying on ambiguous information and subjective judgment. However, most existing methods use precise values to portray indicator information and overlook the uncertainty of weights and the subjective preferences of decision-makers (DMs). In order to address these limits, this paper proposes a novel approach to select suppliers of PCs. Initially, an evaluation index system for suppliers is established through literature analysis and a questionnaire survey. The system comprises six layers: product quality, price, service level, comprehensive ability, supply ability, and environmental sustainability. The group decision matrix is then constructed using the set-valued statistical method and the prospect theory. The index weights are determined by a combination weighting method. Next, the cobweb model is introduced to analyze the disparity between the alternative and ideal solutions, describing their similarities in terms of area and shape. Lastly, cobweb similarity is employed instead of comprehensive distance, combined with the minimum sum of squares criterion, to improve the closeness algorithm and contrast the alternatives. The results demonstrate that this method facilitates a comprehensive evaluation of the benefits and drawbacks of various alternatives from diverse perspectives. Furthermore, it allows flexible adjustments based on the risk preferences of DMs, ensuring accurate and reliable decision results.
Keyword ：
cobweb model cobweb model cobweb similarity cobweb similarity prospect theory prospect theory risk preference risk preference Select suppliers Select suppliers
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| GB/T 7714 | Zhang, Xiang , Huang, Jianhua , Fang, Liting et al. A supplier selection method based on cobweb similarity and prospect theory for prefabricated components [J]. | JOURNAL OF INTELLIGENT & FUZZY SYSTEMS , 2024 , 46 (2) : 4467-4479 . |
| MLA | Zhang, Xiang et al. "A supplier selection method based on cobweb similarity and prospect theory for prefabricated components" . | JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 46 . 2 (2024) : 4467-4479 . |
| APA | Zhang, Xiang , Huang, Jianhua , Fang, Liting , Li, Qian . A supplier selection method based on cobweb similarity and prospect theory for prefabricated components . | JOURNAL OF INTELLIGENT & FUZZY SYSTEMS , 2024 , 46 (2) , 4467-4479 . |
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针对既有玻璃幕墙的安全评价问题,考虑指标信息的不确定性与等级归属的复杂性,提出一种基于模糊熵与灰云聚类模型的既有玻璃幕墙安全评价方法.首先,以实际工程为背景,通过识别既有玻璃幕墙安全风险因素,构建一套定性与定量指标相结合的安全评价指标体系;其次,基于可变模糊云与正态云模型进行评价指标的赋值;再次,运用极差最大化组合赋权法,计算评价指标的权重;最后,引入灰云聚类模型与模糊熵,实现既有玻璃幕墙安全状态的二维评估.实例结果显示:该方法既能对玻璃幕墙的安全状态进行诊断,还能运用模糊熵,从复杂性的层面揭示既有幕墙的健康状况,进而为既有玻璃幕墙的安全评估提供可行思路.
Keyword ：
安全工程 安全工程 安全评价 安全评价 既有玻璃幕墙 既有玻璃幕墙 模糊熵 模糊熵 灰云聚类模型 灰云聚类模型
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| GB/T 7714 | 黄建华 , 张翔 . 模糊熵与灰云模型在既有玻璃幕墙安全评价中的应用 [J]. | 安全与环境学报 , 2024 , 24 (4) : 1275-1283 . |
| MLA | 黄建华 et al. "模糊熵与灰云模型在既有玻璃幕墙安全评价中的应用" . | 安全与环境学报 24 . 4 (2024) : 1275-1283 . |
| APA | 黄建华 , 张翔 . 模糊熵与灰云模型在既有玻璃幕墙安全评价中的应用 . | 安全与环境学报 , 2024 , 24 (4) , 1275-1283 . |
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Accurately forecasting the price of non-ferrous metals is of great significance for traders to avoid risks, enterprises to arrange production plans, and countries to formulate economic policies. In order to improve the forecasting accuracy of non-ferrous metal prices, this paper proposes a novel non-ferrous metal price hybrid forecasting model named IVWAIEE (IVMD-WPD-ARIMA-IELM-ECD). Firstly, the original price series is decomposed into several smoother IMFs using variational mode decomposition (VMD). Simultaneously, the improved sparrow search algorithm (IFASSA) is used to optimize the parameters of VMD to improve the adaptability of VMD. Secondly, wavelet packet decomposition (WPD) is used to decompose the residual sequence generated by VMD to further extract the information in the residual sequence. Then, the components generated by VMD and WPD are defined as high frequency components and low frequency components according to the zero-crossing rate. ARIMA is used to forecast the low frequency components with gentle fluctuations, and extreme learning machine optimized by IFASSA (IELM) is used to forecast the high frequency components with strong fluctuations. The forecasting results of each component are accumulated to obtain the initial forecasting results and error sequence of the non-ferrous metal price. Next, WPD is used to further decompose the error sequence, and the error subsequence is predicted by ARIMA and IELM to obtain the error prediction results. Finally, the error prediction results are used to correct the initial forecasting results, and the final forecasting results of non-ferrous metal prices are obtained. In order to verify the superiority of the proposed model, the copper, aluminum, and zinc futures prices of the London Metal Exchange (LME) are selected as empirical data to verify the model. The results show that the proposed IVWAIEE model has better prediction accuracy and robustness than other benchmark models. Its RMSE values in predicting copper, aluminum, and zinc futures prices are 0.2238, 0.1863, and 0.2137, respectively, and MAE values are 0.1696, 0.1171, and 0.1644, respectively, which are lower than those of other benchmark models; The proposed model not only enriches the application of secondary decomposition and error correction in the field of non-ferrous metal price forecasting, but also solves the problems of insufficient adaptability and underutilization of residual sequence in the traditional variational mode decomposition method; The research results of this paper can provide scientific and effective guidance for the investment, production, and decision-making of non-ferrous metal stakeholders.
Keyword ：
Extreme learning machine Extreme learning machine Non-ferrous metals price forecasting Non-ferrous metals price forecasting Sparrow search algorithm Sparrow search algorithm Variational mode decomposition Variational mode decomposition Wavelet packet decomposition Wavelet packet decomposition
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| GB/T 7714 | He, Zhichao , Huang, Jianhua . A novel non-ferrous metal price hybrid forecasting model based on data preprocessing and error correction [J]. | RESOURCES POLICY , 2023 , 86 . |
| MLA | He, Zhichao et al. "A novel non-ferrous metal price hybrid forecasting model based on data preprocessing and error correction" . | RESOURCES POLICY 86 (2023) . |
| APA | He, Zhichao , Huang, Jianhua . A novel non-ferrous metal price hybrid forecasting model based on data preprocessing and error correction . | RESOURCES POLICY , 2023 , 86 . |
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This paper constructs a tripartite evolutionary game model of government, dealers, and ginger farmers under asymmetric price transmission and explores the impact of the target price insurance on the stabilization strategy of the tripartite evolutionary game. It is also demonstrated that farmers' interests can be effectively protected under long-term government regulation and issuance of reasonable insurance subsidy coefficients. Finally, the model is assigned according to the actual data to systematically reveal the factors affecting the decision of each actor. The research shows that: long-term government regulation is necessary to effectively curb speculation, while the implementation of target price insurance can improve farmers' trading position; the probability of government regulation and implementation is not only related to the cost and social benefits but also influenced by ginger trading volume, while the probability of ginger dealers choosing to hoard speculation increases with the increase of ginger trading volume.
Keyword ：
agricultural products trading agricultural products trading dealers hoarding ginger dealers hoarding ginger government regulation government regulation target price insurance target price insurance tripartite evolutionary game tripartite evolutionary game
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| GB/T 7714 | Huang, Jianhua , Liu, Ruihan , Zhang, Tingting . A tripartite evolutionary game model of ginger transaction under the "regulation plus target price insurance " policy [J]. | INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH , 2023 , 32 (3) : 1792-1815 . |
| MLA | Huang, Jianhua et al. "A tripartite evolutionary game model of ginger transaction under the "regulation plus target price insurance " policy" . | INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH 32 . 3 (2023) : 1792-1815 . |
| APA | Huang, Jianhua , Liu, Ruihan , Zhang, Tingting . A tripartite evolutionary game model of ginger transaction under the "regulation plus target price insurance " policy . | INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH , 2023 , 32 (3) , 1792-1815 . |
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为有效降低震后应急物资短缺情况下灾民的心理痛苦,首先,构建痛苦成本函数刻画灾民遭受的心理痛苦,利用平均痛苦成本表征应急物资调配的时效性和公平性;然后,以灾民平均痛苦成本和应急物流成本最低为目标,构建兼顾效率和公平的2阶段应急物资配送中心选址与物资协调联运多目标规划模型,并设计一种分阶段解码的改进双种群遗传算法进行求解;最后,结合汶川大地震后应急物资保障的实际情景进行算例分析.结果表明:增加配送中心的数量可以提升震后应急物资调配的公平性和时效性,有效缓解灾民的心理创伤;在配送中心数量确定的前提下,提高应急物资调配的公平性和时效性并不会对物流成本造成显著影响.
Keyword ：
公平性 公平性 应急物资调配 应急物资调配 时效性 时效性 灾民心理痛苦 灾民心理痛苦 遗传算法 遗传算法
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| GB/T 7714 | 高鹏飞 , 刘方翔 , 黄建华 et al. 考虑灾民心理痛苦的震后应急物资调配问题研究 [J]. | 中国安全科学学报 , 2022 , 32 (11) : 200-207 . |
| MLA | 高鹏飞 et al. "考虑灾民心理痛苦的震后应急物资调配问题研究" . | 中国安全科学学报 32 . 11 (2022) : 200-207 . |
| APA | 高鹏飞 , 刘方翔 , 黄建华 , 王阳 . 考虑灾民心理痛苦的震后应急物资调配问题研究 . | 中国安全科学学报 , 2022 , 32 (11) , 200-207 . |
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在面对具有突变性、不稳定性以及非线性等特征的区域物流需求预测问题时,传统的时间序列、BPNN、GM-BPNN等预测方法在拟合物流需求曲线上存在缺陷,文章提出了改进GM-BPNN组合预测方法,利用ARIMA和遗传算法(GA)分别改进GM(1,1)和BPNN,根据有效度确定加权系数并构建线性组合模型,并以浙江、广东、江苏进行实例验证.结果表明,相比传统时间序列、BPNN、多元回归、GM-BPNN等预测方法,改进的GM-BPNN组合预测方法提高了物流需求预测的精确度.
Keyword ：
ARIMA ARIMA 区域物流需求预测 区域物流需求预测 改进GM-BPNN 改进GM-BPNN 组合预测 组合预测 遗传算法 遗传算法
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| GB/T 7714 | 黄建华 , 张迪 . 面向不确定物流需求的改进GM-BPNN组合预测方法 [J]. | 统计与决策 , 2022 , 38 (16) : 26-29 . |
| MLA | 黄建华 et al. "面向不确定物流需求的改进GM-BPNN组合预测方法" . | 统计与决策 38 . 16 (2022) : 26-29 . |
| APA | 黄建华 , 张迪 . 面向不确定物流需求的改进GM-BPNN组合预测方法 . | 统计与决策 , 2022 , 38 (16) , 26-29 . |
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城市道路交通拥堵风险传播过程受拥堵预警信息、出行者行为特性及居民出行流量分布等诸多因素影响。本文提出包括道路子网、信息子网和出行子网的多重网络模型,应用改进的UAU-SIR(Unaware-Aware-Unaware-Susceptible-Infective-Recovered)模型,探讨多重网络预警信息下的城市道路拥堵风险传播机制;以国内典型城市道路网络特征分析为基础,构建符合真实道路状况的网络生成模型,并探讨道路网络拓扑结构和出行者面对预警信息时的行为特征对拥堵风险传播的影响。数值模拟结果表明:交通预警信息在发生严重拥堵时可以显著抑制道路拥堵传播,拥堵风险传播阈值与道路网络拓扑结构、预警...
Keyword ：
出行者路线选择 出行者路线选择 城市交通 城市交通 微观马尔科夫链 微观马尔科夫链 拥堵传播分析 拥堵传播分析 道路 道路 预警信息 预警信息
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| GB/T 7714 | 黄建华 , 孙梦歌 . 考虑出行者行为的多重网络拥堵风险传播模型 [J]. | 交通运输系统工程与信息 , 2021 , 21 (01) : 8-15 . |
| MLA | 黄建华 et al. "考虑出行者行为的多重网络拥堵风险传播模型" . | 交通运输系统工程与信息 21 . 01 (2021) : 8-15 . |
| APA | 黄建华 , 孙梦歌 . 考虑出行者行为的多重网络拥堵风险传播模型 . | 交通运输系统工程与信息 , 2021 , 21 (01) , 8-15 . |
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服装供应链中需求信息扭曲放大形成的牛鞭效应给企业的经营管理带来巨大挑战,为探究弱化服装供应链中牛鞭效应的有效策略,基于系统动力学方法构建了Z公司的三级服装供应链模型,分析证实了季节性需求变化、延迟周期和期望库存覆盖时间等因素对服装供应链库存及牛鞭效应影响重大.基于Z公司的实例,探讨了供应商管理库存、联合库存管理和建立全渠道零售管理平台3种库存控制策略对实现因子控制的效力,并证实了3种库存控制策略对弱化牛鞭效应具有良好成效.
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| GB/T 7714 | 宁美娇 , 黄建华 . 服装供应链牛鞭效应仿真及库存控制策略研究 [J]. | 武汉理工大学学报（信息与管理工程版） , 2021 , 43 (3) : 257-263 . |
| MLA | 宁美娇 et al. "服装供应链牛鞭效应仿真及库存控制策略研究" . | 武汉理工大学学报（信息与管理工程版） 43 . 3 (2021) : 257-263 . |
| APA | 宁美娇 , 黄建华 . 服装供应链牛鞭效应仿真及库存控制策略研究 . | 武汉理工大学学报（信息与管理工程版） , 2021 , 43 (3) , 257-263 . |
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