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2014 Seventh International Joint Conference on Computational Sciences and Optimization最新文献

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Analysis of Passenger Transportation Influencing Factors under Clustering Analysis - Shaanxi Province 基于聚类分析的客运影响因素分析——陕西省
2014 Seventh International Joint Conference on Computational Sciences and Optimization Pub Date : 2014-07-04 DOI: 10.1109/CSO.2014.33
Pengrui Bai, Ruining Jia, Zheng Wang
{"title":"Analysis of Passenger Transportation Influencing Factors under Clustering Analysis - Shaanxi Province","authors":"Pengrui Bai, Ruining Jia, Zheng Wang","doi":"10.1109/CSO.2014.33","DOIUrl":"https://doi.org/10.1109/CSO.2014.33","url":null,"abstract":"In this paper, in order to provide decision-making references, the author elected Shaanxi road passenger transportation as the study case, using systems engineering structural model, did a cluster analysis on the affecting factors of the road passenger transportation, At last, the author got the closeness and the importance of each Influencing factor of road passenger transportation.","PeriodicalId":174800,"journal":{"name":"2014 Seventh International Joint Conference on Computational Sciences and Optimization","volume":"2 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131922545","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Sensitivity of Decision Tree Algorithm to Class-Imbalanced Bank Credit Risk Early Warning 决策树算法对类别不平衡银行信用风险预警的敏感性
2014 Seventh International Joint Conference on Computational Sciences and Optimization Pub Date : 2014-07-04 DOI: 10.1109/CSO.2014.153
Jie Lang, Jie Sun
{"title":"Sensitivity of Decision Tree Algorithm to Class-Imbalanced Bank Credit Risk Early Warning","authors":"Jie Lang, Jie Sun","doi":"10.1109/CSO.2014.153","DOIUrl":"https://doi.org/10.1109/CSO.2014.153","url":null,"abstract":"With the development of the banking system, bank credit risk early warning problem has been getting more attention. This paper, applied the decision tree algorithm to study the problem of bank credit risk early warning from a new angle of class imbalance. The empirical results show that decision tree algorithm has strong sensitivity to imbalanced data when it is used for bank credit risk warning modeling.","PeriodicalId":174800,"journal":{"name":"2014 Seventh International Joint Conference on Computational Sciences and Optimization","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132927520","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Resource Allocation Problems in Port Operations: A Literature Review 港口作业中的资源配置问题:文献综述
2014 Seventh International Joint Conference on Computational Sciences and Optimization Pub Date : 2014-07-04 DOI: 10.1109/CSO.2014.35
Jinjia Huang, Fan Wang, N. Shi
{"title":"Resource Allocation Problems in Port Operations: A Literature Review","authors":"Jinjia Huang, Fan Wang, N. Shi","doi":"10.1109/CSO.2014.35","DOIUrl":"https://doi.org/10.1109/CSO.2014.35","url":null,"abstract":"To provide a support in suggesting possible research directions on port operations, this paper surveys the current state of the art in relevant literature. Particular focus is put on resource allocation problems in seaport container terminals which involves berth allocation, quay crane scheduling, storage yard allocation, vehicle dispatching, human resources management and so on. As separated problems have been fully studied regarding port operations, this paper reveals the need for integrated optimization on different resource allocation problems under uncertain environment. Online optimization is also an important need in terms of unexpected disruptions.","PeriodicalId":174800,"journal":{"name":"2014 Seventh International Joint Conference on Computational Sciences and Optimization","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133477196","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
A Network-TOPSIS Based Fuzzy Decision Support System for Supplier Selection in Risky Supply Chain 基于网络topsis的风险供应链供应商选择模糊决策支持系统
2014 Seventh International Joint Conference on Computational Sciences and Optimization Pub Date : 2014-07-04 DOI: 10.1109/CSO.2014.61
Mohuya B. Kar, Kajal Chatterjee, S. Kar
{"title":"A Network-TOPSIS Based Fuzzy Decision Support System for Supplier Selection in Risky Supply Chain","authors":"Mohuya B. Kar, Kajal Chatterjee, S. Kar","doi":"10.1109/CSO.2014.61","DOIUrl":"https://doi.org/10.1109/CSO.2014.61","url":null,"abstract":"Supplier selection is a multi-criteria decision making problem involving several conflicting criteria on which decision maker's knowledge is not precise. A systematic methodology is proposed by integrating fuzzy extent analysis, fuzzy cognitive map and fuzzy decision map forming a fuzzy decision network with fuzzy-TOPSIS to select appropriate supplier providing flexibility to decision makers. Here linguistic values in triangular fuzzy numbers are preferred to represent relative importance among inter-dependence criteria in preference matrix for local weight as well as steady-state matrix for inner-dependence criteria in fuzzy cognitive map stage. The proposed method makes use of fuzzy decision map for global weights of criteria and fuzzy TOPSIS for assessing the alternatives based on global weight. The steps of the method are described first and a numerical example for supplier selection in textile supply chain is given to illustrate the proposed method.","PeriodicalId":174800,"journal":{"name":"2014 Seventh International Joint Conference on Computational Sciences and Optimization","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129225896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 13
Assessing Personal Performance with M-SVMs 用m - svm评估个人绩效
2014 Seventh International Joint Conference on Computational Sciences and Optimization Pub Date : 2014-07-04 DOI: 10.1109/CSO.2014.115
Xude Gui, Zhongyi Hu, Jinlong Zhang, Yukun Bao
{"title":"Assessing Personal Performance with M-SVMs","authors":"Xude Gui, Zhongyi Hu, Jinlong Zhang, Yukun Bao","doi":"10.1109/CSO.2014.115","DOIUrl":"https://doi.org/10.1109/CSO.2014.115","url":null,"abstract":"In view of the significance of personal performance assessment in the working metrics of human resource management, this study proposes to set up a multi-class Support Vector Machine based model to elaborate how to evaluate the staffs' performance effectively and efficiently. Data samples are collected from a construction company in China, and used to justify the proposed model against the selected well-established classifiers. The experimental results suggest it to be a promising alternative for assessing personal performance.","PeriodicalId":174800,"journal":{"name":"2014 Seventh International Joint Conference on Computational Sciences and Optimization","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128644134","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
Decentralized Bilevel Optimization for Supplier Selection Problem with Multiple Items under Fuzzy Random Environment 模糊随机环境下多项目供应商选择问题的分散双层优化
2014 Seventh International Joint Conference on Computational Sciences and Optimization Pub Date : 2014-07-04 DOI: 10.1109/CSO.2014.137
Yan Tu, Xiaoyang Zhou, B. Lev
{"title":"Decentralized Bilevel Optimization for Supplier Selection Problem with Multiple Items under Fuzzy Random Environment","authors":"Yan Tu, Xiaoyang Zhou, B. Lev","doi":"10.1109/CSO.2014.137","DOIUrl":"https://doi.org/10.1109/CSO.2014.137","url":null,"abstract":"The aim of this paper is to consider the supplier selection problem under a hierarchical decision system. With consideration of the inherent uncertainty, An decentralized bilevel optimization model under fuzzy random environment is developed for tracking a supplier selection problem with multiple items. For solving the bi-level programming model, an interactive fuzzy programming technique and an improved particle swarm optimization based on fuzzy random simulation (IPSO based FRS) are designed as a combined solution method. Finally, the results and comparisons analysis of a case study are presented to demonstrate the practicality and efficiency of the optimization method.","PeriodicalId":174800,"journal":{"name":"2014 Seventh International Joint Conference on Computational Sciences and Optimization","volume":"278 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115969651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Analysis of New Farmers Cultivate Path Selection 新型农民培育路径选择分析
2014 Seventh International Joint Conference on Computational Sciences and Optimization Pub Date : 2014-07-04 DOI: 10.1109/CSO.2014.31
Nannan Zhang
{"title":"Analysis of New Farmers Cultivate Path Selection","authors":"Nannan Zhang","doi":"10.1109/CSO.2014.31","DOIUrl":"https://doi.org/10.1109/CSO.2014.31","url":null,"abstract":"New farmers are not only the main body of modern agriculture to achieve independent innovation, but also support the agricultural technological progress and economic development cornerstone. The paper uses a comparative approach, in the analysis of a number of advanced countries on the basis of the successful experience for Chinese farmers in cultivating prominent problems encountered in the process, proposed selected according to different regional characteristics suggest cultivating the path. In order to promote agriculture through science and technology strategy for reference.","PeriodicalId":174800,"journal":{"name":"2014 Seventh International Joint Conference on Computational Sciences and Optimization","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117043512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The Empirical Research on Volatility Measurement Model Based Multiplicative Error Model 基于乘数误差模型的波动率度量模型实证研究
2014 Seventh International Joint Conference on Computational Sciences and Optimization Pub Date : 2014-07-04 DOI: 10.1109/CSO.2014.156
Yuling Ma, Pin Guo, Yuan Zhao
{"title":"The Empirical Research on Volatility Measurement Model Based Multiplicative Error Model","authors":"Yuling Ma, Pin Guo, Yuan Zhao","doi":"10.1109/CSO.2014.156","DOIUrl":"https://doi.org/10.1109/CSO.2014.156","url":null,"abstract":"Volatility is a very important factor of measuring financial risk. This paper introduces the volatility measurement method of high frequency financial time series involving the nonnegative-Multiplicative Error Model. This paper takes the high frequency data of HS300 index of Chinese stock market as the research object, building the TARCH model according to leverage, and uses the \"realized volatility\" to build ARFIMA model, multiplicative error model respectively, then carries on the comparative analysis on accuracy after using the three models to predict with the mean square error method. The analysis results show that the multiplicative error model gives the best prediction effects, and ARFIMA model is the second.","PeriodicalId":174800,"journal":{"name":"2014 Seventh International Joint Conference on Computational Sciences and Optimization","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114272230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Behavioral Finance Analysis on ETF Investment Behavior ETF投资行为的行为金融学分析
2014 Seventh International Joint Conference on Computational Sciences and Optimization Pub Date : 2014-07-04 DOI: 10.1109/CSO.2014.81
Yang Xu, Kaijian He, L. Kenneth, K. Lai
{"title":"A Behavioral Finance Analysis on ETF Investment Behavior","authors":"Yang Xu, Kaijian He, L. Kenneth, K. Lai","doi":"10.1109/CSO.2014.81","DOIUrl":"https://doi.org/10.1109/CSO.2014.81","url":null,"abstract":"Since the global financial tsunami, Exchange Traded Funds have attracted much attention, as investors are increasingly concerned with the underlying risk exposure and transparency in their investments. However, much is yet to be learned about its behavioral characteristics, in addition to the traditional risk and return factors. In this paper, we take a behavioral finance perspective to investigate additional behavioral factors during the ETF investment process. We have found some behavioral characteristics, that are unique for the ETF investment and the Hong Kong regions.","PeriodicalId":174800,"journal":{"name":"2014 Seventh International Joint Conference on Computational Sciences and Optimization","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126010878","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Construction of Probabilistic Boolean Network for Credit Default Data 信用违约数据的概率布尔网络构造
2014 Seventh International Joint Conference on Computational Sciences and Optimization Pub Date : 2014-07-04 DOI: 10.1109/CSO.2014.11
Ruochen Liang, Yushan Qiu, W. Ching
{"title":"Construction of Probabilistic Boolean Network for Credit Default Data","authors":"Ruochen Liang, Yushan Qiu, W. Ching","doi":"10.1109/CSO.2014.11","DOIUrl":"https://doi.org/10.1109/CSO.2014.11","url":null,"abstract":"In this article, we consider the problem of construction of Probabilistic Boolean Networks (PBNs). Previous works have shown that Boolean Networks (BNs) and PBNs have many potential applications in modeling genetic regulatory networks and credit default data. A PBN can be considered as a Markov chain process and the construction of a PBN is an inverse problem. Given the transition probability matrix of the PBN, we try to find a set of BNs with probabilities constituting the given PBN. We propose a revised estimation method based on entropy approach to estimate the model parameters. Practical real credit default data are employed to demonstrate our proposed method.","PeriodicalId":174800,"journal":{"name":"2014 Seventh International Joint Conference on Computational Sciences and Optimization","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124885560","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 10
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