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A Two-Stage Minimum Cost Consensus Reaching Study for Large Scale Group Decision Making Based on the Opinion Leader-Follower Opinion Evolution SSCI
期刊论文 | 2025 | GROUP DECISION AND NEGOTIATION
Abstract&Keyword Cite Version(1)

Abstract :

The topic of consensus cost spent in the large scale group consensus decision making (LSGDM) process has drawn more attention as decision-making environments have grown more complicated. Meanwhile, the social network is an important element in LSGDM that can be used to promote group consensus by social relationships among decision makers. Decision makers can be classified into opinion leader and opinion followers, whose opinion evolution show different results. Therefore, taking the social relations of group as an entry point for the LSGDM problem, this paper proposes a minimum cost two-stage consensus decision model based on the opinion leader-follower opinion evolution for the LSGDM problem, and extends it to the distributed linguistic environment. First, the sub-network partitioning method is used to divide the large scale group into several sub-clusters, and then the improved PageRank algorithm is used to calculate the weights of decision makers. Next, the consensus reaching process (CRP) is divided into two stages. In the first stage, an opinion evolution model based on opinion leader-follower is designed on the different opinion evolution processes of opinion leader and opinion follower. On this basis, we propose an intra-sub-cluster minimum cost consensus model based on leader-follower opinion dynamics. The adjustment suggestions are obtained by minimizing the adjustment cost of opinions to reach consensus within the sub-clusters. In the second stage, we use the inter-sub-cluster minimum cost consensus model based on global coordination to lead the sub-clusters to reach the collective consensus with minimum opinion adjustment cost. Finally, a case study on power engineering projects illustrates the feasibility of the model, and comparing with other models reveals its advantages. In general, the two-stage consensus reaching model we proposed can effectively use the leadership role of opinion leaders to facilitate the consensus building process and reduce consensus costs.

Keyword :

Consensus reaching process Consensus reaching process Opinion evolution Opinion evolution Opinion leader Opinion leader Social network Social network The minimum cost consensus model The minimum cost consensus model

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GB/T 7714 Yang, Dianqing , Wu, Junjie , Xiao, Nan . A Two-Stage Minimum Cost Consensus Reaching Study for Large Scale Group Decision Making Based on the Opinion Leader-Follower Opinion Evolution [J]. | GROUP DECISION AND NEGOTIATION , 2025 .
MLA Yang, Dianqing 等. "A Two-Stage Minimum Cost Consensus Reaching Study for Large Scale Group Decision Making Based on the Opinion Leader-Follower Opinion Evolution" . | GROUP DECISION AND NEGOTIATION (2025) .
APA Yang, Dianqing , Wu, Junjie , Xiao, Nan . A Two-Stage Minimum Cost Consensus Reaching Study for Large Scale Group Decision Making Based on the Opinion Leader-Follower Opinion Evolution . | GROUP DECISION AND NEGOTIATION , 2025 .
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A Two-Stage Minimum Cost Consensus Reaching Study for Large Scale Group Decision Making Based on the Opinion Leader–Follower Opinion Evolution Scopus
期刊论文 | 2025 | Group Decision and Negotiation
基于改进深度学习的航拍滑坡检测方法 PKU
期刊论文 | 2024 , 45 (1) , 268-274 | 计算机工程与设计
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Abstract :

为及时发现滑坡险情展开应急救援,提出一种结合逐通道不同阈值的深度残差收缩网络(DRSN-CW)方法的更快速区域卷积神经网络(Faster-RCNN)模型的航拍图像滑坡检测算法.利用图像增强的伽马变换、高斯滤波方法提高图片的质量;使用群组归一化方法消除batchsize大小对模型的影响;为减少噪声以及无关特征区域的干扰,采用DRSN-CW网络对滑坡检测目标进行精准定位.实验结果表明,改进后模型与先前模型相比F1值以及平均精度分别增加了 10.7%、10.2%,可以有效检测滑坡险情.

Keyword :

伽马变换 伽马变换 无人机航拍 无人机航拍 更快速区域卷积神经网络 更快速区域卷积神经网络 滑坡检测 滑坡检测 群组归一化方法 群组归一化方法 逐通道不同阈值的深度残差收缩网络 逐通道不同阈值的深度残差收缩网络 高斯滤波 高斯滤波

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GB/T 7714 杨靛青 , 毛艳萍 . 基于改进深度学习的航拍滑坡检测方法 [J]. | 计算机工程与设计 , 2024 , 45 (1) : 268-274 .
MLA 杨靛青 等. "基于改进深度学习的航拍滑坡检测方法" . | 计算机工程与设计 45 . 1 (2024) : 268-274 .
APA 杨靛青 , 毛艳萍 . 基于改进深度学习的航拍滑坡检测方法 . | 计算机工程与设计 , 2024 , 45 (1) , 268-274 .
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基于改进深度学习的航拍滑坡检测方法 PKU
期刊论文 | 2024 , 45 (01) , 268-274 | 计算机工程与设计
Comprehensive Benefit Evaluation of Smart Substation Construction Projects: A Hybrid Multi-criteria Decision-Making Method for Hybrid Information SCIE
期刊论文 | 2024 , 27 (6) , 1771-1796 | INTERNATIONAL JOURNAL OF FUZZY SYSTEMS
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Abstract :

The smart substations is the core part of smart grids which affect the development of the economy and people's livelihood. This paper constructs a comprehensive benefit evaluation index system of smart substation construction project from four dimensions: intelligent benefit, economic benefit, green benefit, and safe benefit to meet the requirements of national development. The attribute value of the evaluation index is hybrid information including language variable, exact number, and normal distribution interval number, which can handle the complex sources of information. On this basis, this study constructs a hybrid multi-criteria decision-making model for hybrid information based on intuitionistic fuzzy theory, subjective and objective weighting method, and improved TOPSIS evaluation method. Firstly, the model uses different transformation rules to unify the hybrid information into the form of intuitionistic fuzzy numbers based on intuitionistic fuzzy theory. Secondly, based on the cooperative game model, this paper uses a weighting method which combines subjective weighting method (group eigenvalue method) and objective weighting method (intuitionistic fuzzy entropy) to determine the comprehensive weight of indicators, which can avoid the limitations of using single weighting method and makes the weights more scientific and reasonable. Thirdly, an improved TOPSIS evaluation model based on intuitionistic fuzzy sets is proposed. The Euclidean distance in traditional TOPSIS method is replaced by cosine similarity, which overcomes the shortcoming of using Euclidean distance. Finally, this paper analyzes 10 cases of smart substation construction projects and puts forward improvement strategies based on the results, the results prove that the model is feasible and it can assist decision makers in making scientific decisions based on different situations. In addition, this hybrid multi-criteria decision-making model is compared with three other models, which proves that the proposed model has good robustness and sensitivity.

Keyword :

Cooperative game Cooperative game Cosine similarity Cosine similarity Hybrid information Hybrid information Intuitionistic fuzzy Intuitionistic fuzzy Normal distribution interval numbers Normal distribution interval numbers TOPSIS TOPSIS

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GB/T 7714 Yang, Dianqing , Mao, Wenjie , Ye, Kunfeng . Comprehensive Benefit Evaluation of Smart Substation Construction Projects: A Hybrid Multi-criteria Decision-Making Method for Hybrid Information [J]. | INTERNATIONAL JOURNAL OF FUZZY SYSTEMS , 2024 , 27 (6) : 1771-1796 .
MLA Yang, Dianqing 等. "Comprehensive Benefit Evaluation of Smart Substation Construction Projects: A Hybrid Multi-criteria Decision-Making Method for Hybrid Information" . | INTERNATIONAL JOURNAL OF FUZZY SYSTEMS 27 . 6 (2024) : 1771-1796 .
APA Yang, Dianqing , Mao, Wenjie , Ye, Kunfeng . Comprehensive Benefit Evaluation of Smart Substation Construction Projects: A Hybrid Multi-criteria Decision-Making Method for Hybrid Information . | INTERNATIONAL JOURNAL OF FUZZY SYSTEMS , 2024 , 27 (6) , 1771-1796 .
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Comprehensive Benefit Evaluation of Smart Substation Construction Projects: A Hybrid Multi-criteria Decision-Making Method for Hybrid Information EI
期刊论文 | 2025 , 27 (6) , 1771-1796 | International Journal of Fuzzy Systems
Comprehensive Benefit Evaluation of Smart Substation Construction Projects: A Hybrid Multi-criteria Decision-Making Method for Hybrid Information Scopus
期刊论文 | 2024 | International Journal of Fuzzy Systems
城市污水处理PPP项目风险分担和收益分配研究
期刊论文 | 2023 , 37 (4) , 86-101 | 福州大学学报(哲学社会科学版)
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Abstract :

城市污水处理PPP项目具有时间跨度长、投资金额巨大、风险因素较多等特点,常因政府和企业之间的风险分担不均、收益分配不公平而导致合作失败.因此,制定科学合理的风险分担和收益分配方案对城市污水处理PPP项目的顺利开展和成功实施具有重要意义.运用霍尔三维结构模型结合主成分分析法识别出城市污水处理PPP项目的主要风险清单.采用博弈论的方法确定具体的风险分担方案,结果显示,由于政企双方地位不对等,博弈过程中私营企业的损耗系数一般大于政府部门,加之政府部门或多或少将风险转移给私营企业,导致私营企业承担着比政府部门更大的风险.利用DEMATEL方法构造D-ANP收益分配模型,并制定考虑投入程度、风险分担和贡献程度三个收益分配因素的风险-收益配置方案.使用实例对模型进行分析,结果显示相较于只基于投入程度的初始收益,政府部门收益减少而私营企业收益增加,这符合风险分担原则,也验证了模型的有效合理性.

Keyword :

D-ANP D-ANP 博弈论 博弈论 城市污水处理PPP项目 城市污水处理PPP项目 收益分配 收益分配 风险分担 风险分担

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GB/T 7714 杨靛青 , 邱昱宁 , 俞裕兰 . 城市污水处理PPP项目风险分担和收益分配研究 [J]. | 福州大学学报(哲学社会科学版) , 2023 , 37 (4) : 86-101 .
MLA 杨靛青 等. "城市污水处理PPP项目风险分担和收益分配研究" . | 福州大学学报(哲学社会科学版) 37 . 4 (2023) : 86-101 .
APA 杨靛青 , 邱昱宁 , 俞裕兰 . 城市污水处理PPP项目风险分担和收益分配研究 . | 福州大学学报(哲学社会科学版) , 2023 , 37 (4) , 86-101 .
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城市污水处理PPP项目风险分担和收益分配研究
期刊论文 | 2023 , 37 (04) , 86-101 | 福州大学学报(哲学社会科学版)
城市污水处理PPP项目风险分担和收益分配研究
期刊论文 | 2023 , 37 (04) , 86-101 | 福州大学学报(哲学社会科学版)
Remote sensing landslide target detection method based on improved Faster R-CNN SCIE
期刊论文 | 2022 , 16 (4) | JOURNAL OF APPLIED REMOTE SENSING
WoS CC Cited Count: 6
Abstract&Keyword Cite Version(1)

Abstract :

To timely detect landslide hazards to start emergency rescue, an improved Faster R-CNN algorithm is proposed for remote sensing image landslide detection. First, the gamma transform and Gaussian filtering methods of image enhancement are used to improve the quality of the images. Second, the effect of batchsize size on the model is eliminated using the group normalization method. Finally, multiscale feature fusion is performed by adding a feature pyramid network structure to optimize the extracted landslide small target features, and then the backbone network is set as deep residual shrinkage network 50 to make the model more focused on information useful for landslide detection. The experimental results show that the improved model improves the accuracy rate as well as the average precision by 8.8% and 8.4%, respectively, compared with the unimproved Faster R-CNN, and compared with the first-stage models, such as you only look once version 4 and single-shot detector, which verify the superiority of the model in our study and can detect landslide targets well. (c) 2022 Society of Photo-Optical Instrumentation Engineers (SPIE)

Keyword :

deep residual shrinkage network deep residual shrinkage network Faster R-CNN Faster R-CNN feature pyramid network feature pyramid network landslide detection landslide detection remote sensing image remote sensing image

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GB/T 7714 Yang Dianqing , Mao Yanping . Remote sensing landslide target detection method based on improved Faster R-CNN [J]. | JOURNAL OF APPLIED REMOTE SENSING , 2022 , 16 (4) .
MLA Yang Dianqing 等. "Remote sensing landslide target detection method based on improved Faster R-CNN" . | JOURNAL OF APPLIED REMOTE SENSING 16 . 4 (2022) .
APA Yang Dianqing , Mao Yanping . Remote sensing landslide target detection method based on improved Faster R-CNN . | JOURNAL OF APPLIED REMOTE SENSING , 2022 , 16 (4) .
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Remote sensing landslide target detection method based on improved Faster R-CNN EI
期刊论文 | 2022 , 16 (4) | Journal of Applied Remote Sensing
跨境电商信用多指标综合模糊评价模型研究
期刊论文 | 2021 , (1) , 11-22 | 牡丹江师范学院学报(哲学社会科学版)
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Abstract :

跨境电商信用是一般商务信用在虚拟网络中的映射,体现社会对信用的认知程度和社会信用体系的建设程度.跨境电商信用评价模型的研究对于有效规范网络中的交易行为和推进跨境电商的健康稳健发展具有重大意义.本文主要研究中国跨境电商信用等级评价指标体系的构建及其权重确定,并重点构建跨境电商信用等级模糊多指标综合评价模型.基于中国跨境电商信用影响因素和评价指标选取原则,建立跨境电商信用等级评价三级指标体系,以此构建跨境电商信用等级模糊多指标综合评价模型.

Keyword :

信用等级模糊评价模型 信用等级模糊评价模型 信用等级评价指标体系 信用等级评价指标体系 跨境电商信用 跨境电商信用

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GB/T 7714 俞裕兰 , 杨靛青 . 跨境电商信用多指标综合模糊评价模型研究 [J]. | 牡丹江师范学院学报(哲学社会科学版) , 2021 , (1) : 11-22 .
MLA 俞裕兰 等. "跨境电商信用多指标综合模糊评价模型研究" . | 牡丹江师范学院学报(哲学社会科学版) 1 (2021) : 11-22 .
APA 俞裕兰 , 杨靛青 . 跨境电商信用多指标综合模糊评价模型研究 . | 牡丹江师范学院学报(哲学社会科学版) , 2021 , (1) , 11-22 .
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跨境电商信用多指标综合模糊评价模型研究
期刊论文 | 2021 , (01) , 11-22 | 牡丹江师范学院学报(社会科学版)
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Abstract :

跨境电商信用是一般商务信用在虚拟网络中的映射,体现社会对信用的认知程度和社会信用体系的建设程度。跨境电商信用评价模型的研究对于有效规范网络中的交易行为和推进跨境电商的健康稳健发展具有重大意义。本文主要研究中国跨境电商信用等级评价指标体系的构建及其权重确定,并重点构建跨境电商信用等级模糊多指标综合评价模型。基于中国跨境电商信用影响因素和评价指标选取原则,建立跨境电商信用等级评价三级指标体系,以此构建跨境电商信用等级模糊多指标综合评价模型。

Keyword :

信用等级模糊评价模型 信用等级模糊评价模型 信用等级评价指标体系 信用等级评价指标体系 跨境电商信用 跨境电商信用

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GB/T 7714 俞裕兰 , 杨靛青 . 跨境电商信用多指标综合模糊评价模型研究 [J]. | 牡丹江师范学院学报(社会科学版) , 2021 , (01) : 11-22 .
MLA 俞裕兰 等. "跨境电商信用多指标综合模糊评价模型研究" . | 牡丹江师范学院学报(社会科学版) 01 (2021) : 11-22 .
APA 俞裕兰 , 杨靛青 . 跨境电商信用多指标综合模糊评价模型研究 . | 牡丹江师范学院学报(社会科学版) , 2021 , (01) , 11-22 .
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数字经济背景下中国信息服务贸易竞争力分析——基于熵权值法视角
期刊论文 | 2020 , 22 (03) , 1-8,85 | 安徽理工大学学报(社会科学版)
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Abstract :

数字贸易作为数字经济时代国际贸易未来发展方向的新型贸易方式,其中,信息服务贸易作为数字贸易的重要组成部分,所占比重较大,信息服务贸易的国际竞争力水平将会影响全球各大经济体的整体竞争力水平。因此,在分析了中国电信、计算机和通信服务贸易的TC、RCA、MS、MI四大国际竞争力指标的基础上,使用熵权值法深入分析中国和全球经济排名前十的国家电信、计算机和通信服务贸易的国际竞争力综合状况。结果显示,中国的信息服务贸易国际竞争力综合水平在全球各大国家中排名居中间位次,结论可为中国信息服务贸易产业高质量发展提供对策。

Keyword :

信息服务贸易 信息服务贸易 数字经济 数字经济 熵权值 熵权值 竞争力 竞争力 评价指标 评价指标

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GB/T 7714 俞裕兰 , 杨靛青 . 数字经济背景下中国信息服务贸易竞争力分析——基于熵权值法视角 [J]. | 安徽理工大学学报(社会科学版) , 2020 , 22 (03) : 1-8,85 .
MLA 俞裕兰 等. "数字经济背景下中国信息服务贸易竞争力分析——基于熵权值法视角" . | 安徽理工大学学报(社会科学版) 22 . 03 (2020) : 1-8,85 .
APA 俞裕兰 , 杨靛青 . 数字经济背景下中国信息服务贸易竞争力分析——基于熵权值法视角 . | 安徽理工大学学报(社会科学版) , 2020 , 22 (03) , 1-8,85 .
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数字经济背景下中国信息服务贸易竞争力分析——基于熵权值法视角 CQVIP
期刊论文 | 2020 , 22 (3) , 1-8 | 安徽理工大学学报:社会科学版
数数字经济背景下中国信息服务贸易竞争力分析 ——基于熵权值法视角
期刊论文 | 2020 , 22 (3) , 1-8,85 | 安徽理工大学学报(社会科学版)
Abstract&Keyword Cite

Abstract :

数字贸易作为数字经济时代国际贸易未来发展方向的新型贸易方式,其中,信息服务贸易作为数字贸易的重要组成部分,所占比重较大,信息服务贸易的国际竞争力水平将会影响全球各大经济体的整体竞争力水平.因此,在分析了中国电信、计算机和通信服务贸易的TC、RCA、MS、MI四大国际竞争力指标的基础上,使用熵权值法深入分析中国和全球经济排名前十的国家电信、计算机和通信服务贸易的国际竞争力综合状况.结果显示,中国的信息服务贸易国际竞争力综合水平在全球各大国家中排名居中间位次,结论可为中国信息服务贸易产业高质量发展提供对策.

Keyword :

信息服务贸易 信息服务贸易 数字经济 数字经济 熵权值 熵权值 竞争力 竞争力 评价指标 评价指标

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GB/T 7714 俞裕兰 , 杨靛青 . 数数字经济背景下中国信息服务贸易竞争力分析 ——基于熵权值法视角 [J]. | 安徽理工大学学报(社会科学版) , 2020 , 22 (3) : 1-8,85 .
MLA 俞裕兰 等. "数数字经济背景下中国信息服务贸易竞争力分析 ——基于熵权值法视角" . | 安徽理工大学学报(社会科学版) 22 . 3 (2020) : 1-8,85 .
APA 俞裕兰 , 杨靛青 . 数数字经济背景下中国信息服务贸易竞争力分析 ——基于熵权值法视角 . | 安徽理工大学学报(社会科学版) , 2020 , 22 (3) , 1-8,85 .
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数字经济背景下离岸软件外包双边匹配推荐模型——基于考虑心理因素的多时点目标决策
期刊论文 | 2020 , 33 (3) , 115-122 | 青岛大学学报(自然科学版)
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Abstract :

为了提高离岸软件外包服务发包商与承包商在软件外包交易上的匹配成功率,需要考虑心理因素的多时点决策目标,设计离岸软件外包双边匹配推荐模型.在获取现实中离岸软件外包匹配双方的多时点指标信息基础上,依据匹配双方主体给出的期望值与多时期融合指标值,利用前景理论计算指标的前景值,进一步采用线性加权算法获得综合前景值,设计和求解基于综合前景值的双边匹配多目标决策模型.最后,引入实际案例研究,验证了所构建的考虑心理因素的多时点目标双边匹配推荐模型实际效果和用途.

Keyword :

前景理论 前景理论 双边匹配 双边匹配 多时点目标决策 多时点目标决策 数字经济 数字经济 离岸软件外包服务 离岸软件外包服务

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GB/T 7714 俞裕兰 , 杨靛青 . 数字经济背景下离岸软件外包双边匹配推荐模型——基于考虑心理因素的多时点目标决策 [J]. | 青岛大学学报(自然科学版) , 2020 , 33 (3) : 115-122 .
MLA 俞裕兰 等. "数字经济背景下离岸软件外包双边匹配推荐模型——基于考虑心理因素的多时点目标决策" . | 青岛大学学报(自然科学版) 33 . 3 (2020) : 115-122 .
APA 俞裕兰 , 杨靛青 . 数字经济背景下离岸软件外包双边匹配推荐模型——基于考虑心理因素的多时点目标决策 . | 青岛大学学报(自然科学版) , 2020 , 33 (3) , 115-122 .
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数字经济背景下离岸软件外包双边匹配推荐模型——基于考虑心理因素的多时点目标决策
期刊论文 | 2020 , 33 (03) , 115-122 | 青岛大学学报(自然科学版)
数字经济背景下离岸软件外包双边匹配推荐模型——基于考虑心理因素的多时点目标决策 CQVIP
期刊论文 | 2020 , 33 (3) , 115-122 | 青岛大学学报:自然科学版
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