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随机复杂系统设计方案排序问题的动态计量预算分配策略

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中国科学：信息科学 2024年第2期54卷 373-393页

作者：肖辉魏志宏寇纲顾先明西南财经大学管理科学与工程学院成都611130 西南财经大学大数据研究院成都611130 西南财经大学数学学院成都611130

仿真技术已被广泛地用于评估与优化随机复杂系统,例如生产制造、网络通信、医疗健康等信息物理融合系统.然而,将仿真优化方法用于方案排序问题的研究甚少.本文考虑只能通过系统仿真才能获取性能表现的k个备选方案排序问题,在贝叶斯(Bay... 详细信息

仿真技术已被广泛地用于评估与优化随机复杂系统,例如生产制造、网络通信、医疗健康等信息物理融合系统.然而,将仿真优化方法用于方案排序问题的研究甚少.本文考虑只能通过系统仿真才能获取性能表现的k个备选方案排序问题,在贝叶斯(Bayes)框架下,构建以寻求最大化后验方案正确排序概率为目标的动态仿真预算优化分配模型.通过将仿真预算分配决策过程表述成一个随机动态规划问题,推导出一种动态计量预算分配策略,并证明了该分配策略的渐进最优性.数值实验以及案例分析的结果表明,本文提出的算法显著地提高了方案排序问题的仿真优化效率.

关键词：仿真优化排序选优信息物理融合系统马尔科夫决策过程贝叶斯估计

Detection approach for unusable shared bikes enabled by reinforcement learning and PageRank algorithm

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Journal of Safety Science and Resilience 2023年第2期4卷 220-227页

作者： Yu Zhou Ran Zheng gang kou Colege of Economics and Management Inner Mongolia UniversityHohhot 010021China School of Business Administration Southwestern University of Finance and EconomicsChengdu 611130China

Existing research models can neither indicate the availability of shared bikes nor detect unusable ones owing to a lack of information on bike maintenance and *** improve awareness regarding the availability of shared bikes,we propose an innovative approach for detecting unusable shared bikes based on reinforcement learning and the PageRank *** proposed method identifies unusable shared bikes depending on the local travel data and provides a ranking of the shared bikes according to their availability *** a sliding time window,the value function for the reinforcement learning model was determined by considering the cumulative number of unavailable shared bikes,the proportion of rental cancelations at the same stations,and the mean time between the *** learning was then used to identify shared bikes with the worst *** availability ranking for the shared bikes below the reward threshold was performed using the PageRank *** proposed detection approach was applied to a trip dataset of a real-world bike-sharing system to illustrate the modeling process and its *** detection results of unusable shared bikes in the absence of failure and feedback data can provide essential information to support the maintenance management decisions regarding shared bikes.

关键词： Bike-sharing system Bike availability Maintenance Failure Shared bike Intelligent transportation Reinforcement learning PageRank algorithm Detection

A group consensus model for evaluating real estate investment alternatives

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Financial Innovation 2016年第1期2卷 98-107页

作者： Wenshuai Wu gang kou School of Economics and Management East China Jiaotong UniversityNanchangJiangxi 330013China Business School Sichuan UniversityChengduSichuan 610065China School of Business Administration Southwestern University of Finance and EconomicsChengduSichuan 611130China Changbei Economic and Technological Development Zone No.808East Shuanggang StreetNanchangJiangxi 330013China

Background:Individual decision-making largely influences the effectiveness of decisions and benefits of ***:In this article,a consensus model for group decision-making(GDM),based on the analytic hierarchy process(AHP),is developed to gather group ideas and analyze the real estate investment environment under multi-criteria *** evaluation procedures of the developed model,which increase the convergence of the opinions of multiple experts,are ***:An empirical case about the real estate investment environment is applied to certify the feasibility of this developed ***:the evaluation procedures have been fully observed with several rounds of discussions,and have manifested the experiences of ***,the evaluation results are in accordance with real-world situations,which demonstrates that our developed model is a feasible analysis tool for real estate investors to obtain better profits and lower risk.

关键词： Group decision-making Analytic hierarchy process Real estate investment Decision analysis

Dynamic Camouflage Characteristics of a Thermal Infrared Film Inspired by Honeycomb Structure

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Journal of Bionic Engineering 2022年第2期19卷 458-470页

作者： Lujia Li Huanhuan Li gang kou Dafeng Yang Wei Hu Jinghui Peng Songjing Li Department of Fluid Control and Automation Harbin Institute of TechnologyHarbin 150001China Research Institute for National Defense Engineering of Academy of Military Science PLA China Luoyang 471023China

Thermal infrared camouflage technology has attracted increasing attention with the progress of infrared surveillance *** by honeycombs,a thermal infrared camouflage film with honeycomb sandwich structure based on fluid and temperature control is proposed to cloak objects and display false targets in the thermal infrared *** structure and manufacturing method of the film are introduced,and the fluid and temperature control system is established and tested to explore the thermal infrared characteristics of the film composed of different thermal *** camouflage performance of the film is intuitively displayed through the temperature frequency histograms of the infrared images photographed by an infrared *** temperature control accuracy of the thermal infrared camouflage system and the dynamic camouflage response of the film are evaluated by the temperature distribution map of each pixel in infrared images and the salient degree ***,the influential factors on the camouflage responding time are investigated,including the heating and cooling time of the liquid,the flow rate of pumps inside the driving module,and the energy loss along the liquid *** application of displaying false target is also introduced and *** results show that the camouflage film has a well camouflage effect and a wide adjustment temperature range,showing promise for a broad range of potential applications,such as counter-surveillance,thermal control and heat shielding.

关键词： Bioinspiration Film Thermal camoufage Honeycomb structure Temperature control

A systematic review of blockchain

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Financial Innovation 2019年第1期5卷 488-501页

作者： Min Xu Xingtong Chen gang kou Southwestern University of Finance and Economics ChengduChina

Blockchain is considered by many to be a disruptive core *** many researchers have realized the importance of blockchain,the research of blockchain is still in its ***,this study reviews the current academic research on blockchain,especially in the subject area of business and *** on a systematic review of the literature retrieved from the Web of Science service,we explore the top-cited articles,most productive countries,and most common ***,we conduct a clustering analysis and identify the following five research themes:“economic benefit,”“blockchain technology,”“initial coin offerings,”“fintech revolution,”and“sharing economy.”Recommendations on future research directions and practical applications are also provided in this paper.

关键词： Blockchain Systematic literature review Business and economics CiteSpace

Improved hybrid resampling and ensemble model for imbalance learning and credit evaluation

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Journal of Management Science and Engineering 2022年第4期7卷 511-529页

作者： gang kou Hao Chen Mohammed A.Hefni School of Business Administration Southwestern University of Finance and EconomicsChengdu610074China Department of Mining Engineering Faculty of EngineeringJeddah21589Saudi Arabia

A clustering-based undersampling (CUS) and distance-based near-miss method are widely used in current imbalanced learning algorithms, but this method has certain drawbacks. In particular, the CUS does not consider the influence of the distance factor on the majority of instances, and the near-miss method omits the inter-class(es) within the majority of samples. To overcome these drawbacks, this study proposes an undersampling method combining distance measurement and majority class clustering. Resampling methods are used to develop an ensemble-based imbalanced-learning algorithm called the clustering and distance-based imbalance learning model (CDEILM). This algorithm combines distance-based undersampling, feature selection, and ensemble learning. In addition, a cluster size-based resampling (CSBR) method is proposed for preserving the original distribution of the majority class, and a hybrid imbalanced learning framework is constructed by fusing various types of resampling methods. The combination of CDEILM and CSBR can be considered as a specific case of this hybrid framework. The experimental results show that the CDEILM and CSBR methods can achieve better performance than the benchmark methods, and that the hybrid model provides the best results under most circumstances. Therefore, the proposed model can be used as an alternative imbalanced learning method under specific circumstances, e.g., for providing a solution to credit evaluation problems in financial applications.

关键词： Imbalanced learning Clustering-based under-sampling Ensemble methods Hybrid methods Credit risk evaluation

Fintech investments in European banks:a hybrid IT2 fuzzy multidimensional decision‑making approach

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Financial Innovation 2021年第1期7卷 826-853页

作者： gang kou Ozlem Olgu Akdeniz Hasan Dincer Serhat Yuksel School of Business Administration Southwestern University of Finance and EconomicsChengdu 611130China College of Administrative Sciences and Economics Koc UniversityRumeli Feneri YoluSarıyerIstanbul 34450Turkey School of Business Istanbul Medipol UniversityKavacık CampusBeykozIstanbul 34810Turkey

Financial technology(Fintech)makes a significant contribution to the financial system by reducing costs,providing higher quality services and increasing customer ***,new studies play an essential role to improve Fintech *** study evaluates Fintech-based investments of European banking services with an application of an original methodology that considers interval type-2(IT2)fuzzy decision-making trial and evaluation laboratory and IT2 fuzzy TOPSIS *** findings are controlled for consistency by applying the VIKOR ***,we conduct a sensitivity analysis by considering six distinct *** study contributes to the existing literature by identifying the most important Fintech-based investment alternatives to improve the financial performance of European *** empirical findings illustrate that results are coherent,reliable,and identify“competitive advantage”as the most important factor among Fintech-based ***,“payment and money transferring systems”are the most important Fintech-based investment *** is recommended that,among Fintech-based investments,European banks should mainly focus on payment and money transferring alternatives to attract the attention of customers and satisfy their *** is also believed to have a positive impact on the ease of bank’receivable *** important point is that Fintech-based investments in money transferring systems could help to decrease costs.

关键词： Financial technology European banking industry Interval type-2 fuzzy TOPSIS DEMATEL

Social credit:a comprehensive literature review

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Financial Innovation 2015年第1期1卷 70-87页

作者： Lean Yu Xinxie Li Ling Tang Zongyi Zhang gang kou School of Economics and Management Beijing University of Chemical TechnologyBeijing 100029China School of Business Administration Southwestern University of Finance and EconomicsChengdu 611130China

To avoid credit fraud,social credit within an economic system has become an increasingly important criterion for the evaluation of economic agent activity and guaranteeing the development of a market economy with minimal supervision *** paper provides a comprehensive review of the social credit literature from the perspectives of theoretical foundation,scoring methods,and regulatory *** study considers the credit of various economic agents within the social credit system such as countries(or governments),corporations,and individuals and their credit variations in online markets(i.e.,network credit).A historical review of the theoretical(or model)development of economic agents is presented together with significant works and future research *** interesting conclusions are summarized from the literature review.(1)Credit theory studies can be categorized into traditional and emerging schools both focusing on the economic explanation of social credit in conjunction with creation and evolution mechanisms.(2)The most popular credit scoring methods include expert systems,econometric models,artificial intelligence(AI)techniques,and their hybrid *** indexes should vary across different target agents.(3)The most pressing task for regulatory mechanisms that supervise social credit to avoid credit fraud is the establishment of shared credit databases with consistent data standards.

关键词： Social credit Literature review Credit scoring Regulatory mechanism Credit risk

Editor’s introduction

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Financial Innovation 2022年第1期8卷 601-603页

作者： gang kou Southwestern University of Finance and Economics ChengduChina

The 31st volume of Financial Innovation(FIN),Volume 8,No.1(2022)presents 16 papers contributed by authors and co-authors from fourteen countries and areas:Aus-tralia,Brazil,Canada,China,France,Hong Kong,Iran,Italy,Kor... 详细信息

关键词： Canada Taiwan Brazil