{"title":"The optimization model of objective weight in grey situation decision","authors":"Dang Yao-guo, Wang Zheng-xin, Li Xue-mei, Xu Ning","doi":"10.1109/GSIS.2009.5408017","DOIUrl":"https://doi.org/10.1109/GSIS.2009.5408017","url":null,"abstract":"For giving decision target equal weight in traditional multi-objective grey situation decision does not reflect the preferences of policy makers and the actual situation of decision-making, we put forward a weighting method in grey situation decision. Taking the closer of the effect of the situation with the ideals and the uncertainty of the weight into account, the multi-objective optimization model is established, which is solved by Lagrange multiplier. Then the formula of objective weights is obtained and unequal weight grey situation decision is established. The grey situation decision theory can be improved.","PeriodicalId":294363,"journal":{"name":"2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129796497","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}
{"title":"Research on support system of dual-use core technology integration based on open innovation","authors":"Jian-min Fan, G. Hou, X. He","doi":"10.1109/GSIS.2009.5408115","DOIUrl":"https://doi.org/10.1109/GSIS.2009.5408115","url":null,"abstract":"Dual-use core technology can be integrated along the entire life cycle of technology because of its value extensibility, while integration of this technology requires a corresponding support system for its success. Owing to problems of China's policy, this support system is a closed type. Support system based on open innovation should be constructed in China in order to deal with problems of its backward economy and defense, low efficiency of resource allocation and rate of success in dual-use core technology integration. This support system should be divided into software platform subsystem, hardware platform subsystem, and organization & coordination subsystem. Sustained efforts countermeasures should be done by China government in order to build it, such as forming efficient organization and management systems, establishing and improving policies and regulations, building hardware supportive platforms and doing well matching management measures on operation of this support system.","PeriodicalId":294363,"journal":{"name":"2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128308332","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}
GuoDong Li, Chen-Hong Wang, S. Masuda, D. Yamaguchi, M. Nagai
{"title":"The PID prediction control system using particle swarm optimization and genetic algorithms","authors":"GuoDong Li, Chen-Hong Wang, S. Masuda, D. Yamaguchi, M. Nagai","doi":"10.1109/GSIS.2009.5408225","DOIUrl":"https://doi.org/10.1109/GSIS.2009.5408225","url":null,"abstract":"In this paper, the particle swarm optimization (PSO) algorithm and genetic algorithm (GA) are employed to optimize the parameters of PID algorithm in order to improve the performance of PID control system. Moreover, we propose the grey model based on grey system theory to combine with PID control to establish the PID prediction control system. The proposed control system can realize the accurate control in realtime. Finally, we validated the effectiveness of the proposed control system by computer simulation.","PeriodicalId":294363,"journal":{"name":"2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128939394","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}
{"title":"A hybrid forecasting method for day-ahead electricity price based on GM(1,1) and ARMA","authors":"Ruiqing Wang, L. Yao, Yuzeng Li","doi":"10.1109/GSIS.2009.5408246","DOIUrl":"https://doi.org/10.1109/GSIS.2009.5408246","url":null,"abstract":"Under deregulated environment, accurate price forecasting provides crucial information for electricity market participants to make reasonable competing strategies. With comprehensive consideration of the changing rules of the day-ahead electricity price of the United States PJM electricity market, a day-ahead electricity price forecasting method based on grey system theory and time series analysis is developed, in which the equal-dimension and new-information GM(1,1) model is firstly used to the raw data of electricity price series, and then the autoregressive moving average (ARMA) model is used to the grey residual series. The numerical example based on the historical data of the PJM market from July to September in 2007 shows that the method can reflect the characteristics of electricity price better and the forecasting accuracy can be improved virtually compared with the conventional GM(1,1) model.","PeriodicalId":294363,"journal":{"name":"2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128867505","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}
{"title":"Financial time series prediction based on grey model integrated with support vector regression","authors":"Jiang Hui, Wang Zhizhong","doi":"10.1109/GSIS.2009.5408249","DOIUrl":"https://doi.org/10.1109/GSIS.2009.5408249","url":null,"abstract":"In this paper the composite model GMRVV-SVR has been adopted to predict financial time series with such characteristics as poor information, small sample size, high noise, non-stationary, non-linearity, and varying associated risk. In construction of GMRVV-SVR, the common grey model with revised verge value (GMRVV) has been introduced and modified by support vector regression based on the calculation of the residual error sequence between predicted values and original data. Since the recent data points could provide more information than distant data points, more importance has been attached to the punishment parameter C of recent data points in support vector regression. Simultaneously, the parameter ε in ε-insensitive loss function has been determined according to smoothing overshooting. Pattern search (PS) algorithm has been adopted to tune free parameters. A real experimental result shows that the composite model can achieve comparative accurate prediction as well as smoothing overshooting in financial time series prediction.","PeriodicalId":294363,"journal":{"name":"2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126733141","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}
{"title":"Template game analysis of supervision on research funds of colleges and universities in China","authors":"Jing Xu, Zhigeng Fang, Sifeng Liu, Hongzhuan Chen","doi":"10.1109/GSIS.2009.5408088","DOIUrl":"https://doi.org/10.1109/GSIS.2009.5408088","url":null,"abstract":"Supervision management of research funds is critical for the management of colleges and universities. The effects of supervision and implementation will directly influence the research level of these schools as well as the benefits for the national scientific research. By establishing a game model of supervision, this paper centers on the analysis of the relationship between national fund-authorized departments and universities undertaking research projects when the research funds are improperly used due to the information asymmetry. After the analysis and discussion, some policies and suggestions are proposed accordingly to enhance the supervision of the funds supporting universities' scientific research.","PeriodicalId":294363,"journal":{"name":"2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126840323","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}
{"title":"Research on uncertainty translated into certainty based on SPA theory","authors":"Yonghui Huang","doi":"10.1109/GSIS.2009.5408105","DOIUrl":"https://doi.org/10.1109/GSIS.2009.5408105","url":null,"abstract":"Voting is commonly used to decision making in many large projects. Compared to “Agree” and “Disagree” which are two types of certainty information, “Abstention” belongs to the uncertainty factor. However, the high proportion of abstentions will largely affect the normal decision-making. Based on the theory of Set Pair Analysis (SPA) and relevant literature, Proportional Analysis Method (PAM) is used to take such uncertain composition of “Abstention” gradually to differentiate into “Agree” and “Disagree”. Thus the uncertainty issue is translated into the certainty one in theory. At last, an example is proposed to illustrate the application of the model about the uncertainty issue translated, and confirms its rationality.","PeriodicalId":294363,"journal":{"name":"2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126884976","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}
{"title":"The regional development level of vocational education and influencing factors analysis based on gray system theory — A case of Jiangsu province","authors":"Song Xian-shan, Cai Yi","doi":"10.1109/GSIS.2009.5408023","DOIUrl":"https://doi.org/10.1109/GSIS.2009.5408023","url":null,"abstract":"This article studies vocational education in Jiangsu province. The results can predict the development of vocational education in Jiangsu on next three years, according to the investigation on the development of the vocational Education in Jiangsu. We use the gray relational analysis to build a GM(1,1) model and find out the factors in the development of vocational education in Jiangsu.","PeriodicalId":294363,"journal":{"name":"2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123103146","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}
Wenting Zhang, Xingnan Zhang, Xu-dong Fu, Yongzhi Liu
{"title":"A grey analytic network process (ANP) model to identify storm tide risk","authors":"Wenting Zhang, Xingnan Zhang, Xu-dong Fu, Yongzhi Liu","doi":"10.1109/GSIS.2009.5408247","DOIUrl":"https://doi.org/10.1109/GSIS.2009.5408247","url":null,"abstract":"Storm tide risk is a function of many factors, besides it is dynamic and complex. There may be relations and dependencies among the risk related factors. Therefore, storm tide risk should be analyzed in a holistic manner. In this study, the storm tide risk (STR) which is tried to be determined through analytical network process (ANP) which is an extension of analytical hierarchy process and allows analysis of complex systems. Besides, there are many difficulties and limitations in measuring the faulty behavior factors. For this reason, the weights of factors and sub-factors which are necessary to calculate the FBR are determined by using grey ANP and by this way it is possible to make better decisions in this process.","PeriodicalId":294363,"journal":{"name":"2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126303851","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}
{"title":"Application of the residual GM(1,1) calamities model to aridity forecast in Sichuan","authors":"Xiangcheng Jiang, Senfa Chen","doi":"10.1109/GSIS.2009.5408256","DOIUrl":"https://doi.org/10.1109/GSIS.2009.5408256","url":null,"abstract":"Based on the data of crop aridity area in Sichuan since 1949, we propose a hybrid method of the grey system theory and modeling grey calamities residual GM(1,1) model to process the year series of various threshold of drought acreage. Combining inclusion relation of drought predication years sets, we make improvement on forecast reliability of residual GM(1,1) calamities model in Sichuan aridity.","PeriodicalId":294363,"journal":{"name":"2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126364080","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}