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2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)最新文献

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Multivariate Discrete Grey Model base on Dummy Drivers 基于虚拟驾驶员的多元离散灰色模型
2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS) Pub Date : 2015-08-01 DOI: 10.1108/GS-09-2015-0051
Ke Zhang
{"title":"Multivariate Discrete Grey Model base on Dummy Drivers","authors":"Ke Zhang","doi":"10.1108/GS-09-2015-0051","DOIUrl":"https://doi.org/10.1108/GS-09-2015-0051","url":null,"abstract":"A multivariate discrete grey forecasting model is proposed to solve the problem that the qualitative relative factors can't be employed in traditional models. Firstly, a new model is constructed though introducing dummy drivers. Then, the parameters estimation method and recursive function of the model are discussed. Furthermore, dummy driver setting, pre and posttest methods of dummy drivers are proposed. At last, the per capita income forecasting of rural residents in Henan province of China is solved with the proposed model. The results are compared with other grey forecasting models, and prove that proposed model has not only high accuracy, but also clear physical meaning.","PeriodicalId":246110,"journal":{"name":"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129781326","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: 7
Forecasting China's SO2 emissions by the nonlinear grey Bernoulli self-memory model (NGBSM) 基于非线性灰色伯努利自记忆模型(NGBSM)的中国二氧化硫排放预测
2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS) Pub Date : 2015-08-01 DOI: 10.1109/GSIS.2015.7301830
Xiaojun Guo, Sifeng Liu
{"title":"Forecasting China's SO2 emissions by the nonlinear grey Bernoulli self-memory model (NGBSM)","authors":"Xiaojun Guo, Sifeng Liu","doi":"10.1109/GSIS.2015.7301830","DOIUrl":"https://doi.org/10.1109/GSIS.2015.7301830","url":null,"abstract":"The paper presents a novel nonlinear grey Bernoulli self-memory model (NGBSM) for the data sequences characteristics of saturation or fluctuation. The NGBSM model combines the advantages of the self-memory principle of dynamic systems and the traditional nonlinear grey Bernoulli model through a coupling of the above two prediction methods. The weakness of the traditional grey prediction model, i.e., being sensitive to the initial value, can be overcome by using a multi-time-point initial field instead of only a single-time-point initial field in the system's self-memorization equation. As shown in the case study of China's SO2 emissions, the NGBSM model can take full advantage of the system's multi-time historical data and accurately predict the system's evolutionary trend. Three popular accuracy check criteria are adopted to test and verify the reliability and stability of the NGBSM model, and its superior predictive performance over other traditional grey prediction models. The results show that the proposed NGBSM model enriches grey prediction theory, and can be applied to other similar data sequences.","PeriodicalId":246110,"journal":{"name":"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134540884","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: 11
Board governance, ultimate controller and corporate social responsibility disclosures paper 董事会治理、最终控制人与企业社会责任披露论文
2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS) Pub Date : 2015-08-01 DOI: 10.1109/GSIS.2015.7301923
J. Tao, Wang Huai-ming
{"title":"Board governance, ultimate controller and corporate social responsibility disclosures paper","authors":"J. Tao, Wang Huai-ming","doi":"10.1109/GSIS.2015.7301923","DOIUrl":"https://doi.org/10.1109/GSIS.2015.7301923","url":null,"abstract":"Based on pooled data of exchanges listed companies in food industry from 2006 to 2012, an empirical study and relative theoretical analyses are conducted the impact of Board governance on corporate social responsibility disclosures, from the organizational structure, behavior, technical and political background and incentive of the Board. The empirical results show that: audit committee and nominations committee can encourage social responsibility disclosures. The diligence of the Board has a positive impact on social responsibility disclosures; as does the technical and political background of the number of the Board. Board compensation incentive can improve social responsibility disclosures. The impacts of Board governance on corporate social responsibility disclosures are both common and different in state-control enterprise and non-state-control enterprise. Lastly, corresponding measures are put forward.","PeriodicalId":246110,"journal":{"name":"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131827382","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
Research on Grey AMSAA-ELP model on the basis of discovery learning driven reliability growth of complex equipment 基于发现学习驱动的复杂设备可靠性增长灰色AMSAA-ELP模型研究
2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS) Pub Date : 2015-08-01 DOI: 10.1109/GSIS.2015.7301837
N. Zhang, Xiaqing Liu, Zhigeng Fang, Wang Hongquan
{"title":"Research on Grey AMSAA-ELP model on the basis of discovery learning driven reliability growth of complex equipment","authors":"N. Zhang, Xiaqing Liu, Zhigeng Fang, Wang Hongquan","doi":"10.1109/GSIS.2015.7301837","DOIUrl":"https://doi.org/10.1109/GSIS.2015.7301837","url":null,"abstract":"A Grey AMSAA-ELP model based on discovery learning driven reliability growth of complex equipment is proposed in accordance with the practical cases where system's reliability can be improved by discovery learning from the development process of other related equipment. The characteristics of the model are analyzed and a maximum likelihood estimation (MLE) calculation formula is built in the cases of time terminated testing and fixed failure number testing (commonly known as Type I censoring and Type II censoring). It is pointed out that if MLE has multiple extrema, the quasi- Monte-Carlo method can be used for parameter calculation. Furthermore, test methods for goodness of fit are given. Finally, failure data from an engine with certain complex equipment are analyzed by means of the proposed method, which reveals that test data fitting the Grey AMASS-ELP model outperforms that of the Grey AMSAA, and its assessment results are more consistent with engineering practices as well.","PeriodicalId":246110,"journal":{"name":"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124031410","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
Regularity of market price signals, price expectations and producers' decision - the case of cotton planting acreage changes in China 市场价格信号、价格预期与生产者决策的规律性——以中国棉花种植面积变化为例
2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS) Pub Date : 2015-08-01 DOI: 10.1109/GSIS.2015.7301918
Hu Xue-mei, Fan Chen-yu
{"title":"Regularity of market price signals, price expectations and producers' decision - the case of cotton planting acreage changes in China","authors":"Hu Xue-mei, Fan Chen-yu","doi":"10.1109/GSIS.2015.7301918","DOIUrl":"https://doi.org/10.1109/GSIS.2015.7301918","url":null,"abstract":"Based on the stable and consistent price expectation from producers, the popular supply theory believes that the price is an effective signal for producer decision making, and that supply quantity is thus decided by the market price given that other conditions are unchanged. This paper proposed that whether price could be an effective signal for producers depends on the regularity of price changes. If the changes of price itself show a clear trend, producers are likely to form a stable and consistent expectation about the future price, then the past price would be an effective signal for producers, otherwise, it would not be effective. Underlying such contexts, their decisions should be adjusted appropriately. Taking the change of China cotton planting acreage from 1979 to 2005 as a example, this paper attempts to test the above hypotheses by empirical study. This paper will contribute to the price expectations theory, and provide a theoretical basis for the modification of producers' decision behaviors model.","PeriodicalId":246110,"journal":{"name":"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"176 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121289100","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
Forecast of the informatization index of China from 2011 to 2015 using the Grey forecasting model 运用灰色预测模型预测2011 - 2015年中国信息化指数
2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS) Pub Date : 2015-08-01 DOI: 10.1109/GSIS.2015.7301861
Yan-cai Zhang
{"title":"Forecast of the informatization index of China from 2011 to 2015 using the Grey forecasting model","authors":"Yan-cai Zhang","doi":"10.1109/GSIS.2015.7301861","DOIUrl":"https://doi.org/10.1109/GSIS.2015.7301861","url":null,"abstract":"Informatization is very important to the social economy and is obtaining more and more significance in globalization and social transformation. This article applies the Grey forecasting GM(1,1) model from Grey theory to forecast accurately the informatization index of China and other countries from 2013 to 2020 and makes comparison between them. The results show that the average residual error of the Grey forecasting model is lower than 10%. They further show that the Grey forecasting model exhibits high prediction accuracy. Clearly, the Grey forecasting model is a viable means of accurately forecasting the value of informatization index. The findings offer a valuable reference for governments in drafting relevant policies for the informatization.","PeriodicalId":246110,"journal":{"name":"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133446403","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
Study of affecting factors of the third party logistics satisfaction based on PCA 基于PCA的第三方物流满意度影响因素研究
2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS) Pub Date : 2015-08-01 DOI: 10.1109/GSIS.2015.7301902
Qiuxiang Yi, Aifeng Yang
{"title":"Study of affecting factors of the third party logistics satisfaction based on PCA","authors":"Qiuxiang Yi, Aifeng Yang","doi":"10.1109/GSIS.2015.7301902","DOIUrl":"https://doi.org/10.1109/GSIS.2015.7301902","url":null,"abstract":"This paper selected 12 evaluating index affecting customer satisfaction in the Taobao's third-party logistics service providers, used the principal component analysis (PCA), to find the main factors that affect customer satisfaction in the Taobao's third-party logistics service providers. The study has shown the main factors including the brand, the quality of the staff and reputation. This paper puts forward some suggestions on the development of customer satisfaction in the Taobao's third-party logistics service provider: improving brand awareness, heightening the credibility of enterprises and enhancing the quality of staff.","PeriodicalId":246110,"journal":{"name":"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114930826","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 intelligent grey target decision method of evaluating commercial insurance institutions to undertake serious illness insurance service 商业保险机构承接大病保险业务的智能灰目标决策方法
2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS) Pub Date : 2015-08-01 DOI: 10.1109/GSIS.2015.7301887
Xu Lan, Fang Zhi-geng
{"title":"The intelligent grey target decision method of evaluating commercial insurance institutions to undertake serious illness insurance service","authors":"Xu Lan, Fang Zhi-geng","doi":"10.1109/GSIS.2015.7301887","DOIUrl":"https://doi.org/10.1109/GSIS.2015.7301887","url":null,"abstract":"In order to alleviate the urban and rural residents' medical expenses burden of a serious illness, local governments tried to provide the serious illness insurance service in the way of purchasing it from commercial insurance institutions. A multi-attribute intelligent grey target based method of evaluating and selecting the commercial insurance institutions to undertake the serious illness insurance service is proposed, with the comprehensive consideration of all the factors including financial strength, solvency, service maturity level, health insurance management level, the professional service capability and bid price, etc. The method proposed here provides a scientific decision basis for our serious illness insurance system's entry and exit regulation.","PeriodicalId":246110,"journal":{"name":"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133191677","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
Grey wave forecasting with qualified unequal-interval contour lines and its application in metal prices prediction 合格不等间隔等值线灰波预测及其在金属价格预测中的应用
2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS) Pub Date : 2015-08-01 DOI: 10.1109/GSIS.2015.7301865
Yanhui Chen, Yingchao Zou, Shanshan Wang
{"title":"Grey wave forecasting with qualified unequal-interval contour lines and its application in metal prices prediction","authors":"Yanhui Chen, Yingchao Zou, Shanshan Wang","doi":"10.1109/GSIS.2015.7301865","DOIUrl":"https://doi.org/10.1109/GSIS.2015.7301865","url":null,"abstract":"This paper proposes a modified grey wave forecasting method for time series with irregular fluctuation ranges. This method uses quantile to define the contour lines and forecast future values based on contour time sequences decided by qualified unequal-interval contour lines. For the empirical analysis, this paper uses monthly prices of two metals - nickel and zinc -to assess the forecasting performance of modified grey wave forecasting model. The empirical analysis indicates that the modified grey wave forecasting method is better than original grey wave forecasting method in prediction accuracy and computational efficiency.","PeriodicalId":246110,"journal":{"name":"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134232405","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: 3
Parallel overlapping community discovery based on grey relational analysis 基于灰色关联分析的平行重叠社区发现
2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS) Pub Date : 2015-08-01 DOI: 10.1109/GSIS.2015.7301846
Qishan Zhang, Qiu Qirong, Kun Guo
{"title":"Parallel overlapping community discovery based on grey relational analysis","authors":"Qishan Zhang, Qiu Qirong, Kun Guo","doi":"10.1109/GSIS.2015.7301846","DOIUrl":"https://doi.org/10.1109/GSIS.2015.7301846","url":null,"abstract":"Discovering social communities or social circles from social networks is interesting and important for many applications like business advertisement, social recommendation and collaborative office. In this paper, by integrating grey relational analysis with the label propagation algorithm and the parallel framework, a new parallel algorithm for detecting overlapping communities is proposed. The similarity of the vertices is measured by the grey relational degree and the parallel computation primitives are employed to propagate the labels in parallel. The experiments on both the artificial and realworld networks demonstrate that the new algorithm is effective in detecting overlapping social communities.","PeriodicalId":246110,"journal":{"name":"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133191724","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: 3
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