{"title":"An empirical study on the commercial prospect of emerging technology through bibliometrics","authors":"Yan Lou, Xiaoyang Fu, Lucheng Huang","doi":"10.1109/GSIS.2009.5408148","DOIUrl":"https://doi.org/10.1109/GSIS.2009.5408148","url":null,"abstract":"A variety of researches have been proposed to address commercial prospect of emerging technologies, as it has become one of the research hotspots. Through an extensive literature review, this paper presents a method based on bibliometrics for the investigation of commercial prospects of emerging technologies. Then, the intelligent control in municipal wastewater treatment system is used as a case study. The analytical results show that the proposed method could be an appropriate tool to study the commercial prospect of emerging technologies.","PeriodicalId":294363,"journal":{"name":"2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009)","volume":"32 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":"133108646","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 grey forecasting model for coal production and consumption","authors":"Hong-Wei Ma, Dong-Qing Zhang","doi":"10.1109/GSIS.2009.5408261","DOIUrl":"https://doi.org/10.1109/GSIS.2009.5408261","url":null,"abstract":"China has already become world's largest coal producer and consumer. China's production in 2006 roughly equaled the combined production of the next four top producers (the United States, India, Australia and Russia). The dynamic GM(1,1) model of grey theory is used to forecast the coal production and consumption in China. In order to improve the forecast accuracy, the original GM(1, 1) models are improved by using Markov-chain. We analyze the data of the coal production and consumption from 1990 to 2007 in China, and forecast China's coal production and consumption by this Grey-Markov forecasting model, which shows that the improved grey forecasting model is of more reliability and higher forecast accuracy than GM (1, 1). And the forecast results indicate that China's coal production and consumption will continue to increase rapidly in the period of 2008 to 2015.","PeriodicalId":294363,"journal":{"name":"2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009)","volume":"17 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":"127724005","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 study on the interactive relationship between high-tech industry development and economical growth based on grey incidence analysis","authors":"Liu Bo, Jiang Keshen, Ji Rui","doi":"10.1109/GSIS.2009.5408329","DOIUrl":"https://doi.org/10.1109/GSIS.2009.5408329","url":null,"abstract":"This paper investigated the relationship between high-tech industry development and economical growth in China using grey incidence analysis. Some results from our study indicated that the relationship between high-tech industries' development and economical growth is not a one-way promoting one, but a cumulating two-way one; the input indexes of high-tech industries in China play a greater promoting role in economic growth, but our input is still very low.","PeriodicalId":294363,"journal":{"name":"2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009)","volume":"320 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":"124535820","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":"Evaluation of aerial target threat degree based on improved grey interrelated analysis method","authors":"Zhi Jun, L. Jianyong, Fu Chengqun, Cheng Kai","doi":"10.1109/GSIS.2009.5408215","DOIUrl":"https://doi.org/10.1109/GSIS.2009.5408215","url":null,"abstract":"It puts forward a method of improved grey interrelated analysis in the evaluation of aerial target threat degree. Firstly it sets up comprehensive difference matrix in order to improve the sensitivity and accuracy of threat degree calculation. Secondly it fixes every index weight through threat membership degree. Thirdly it calculates and arranges the weighted average comprehensive value in an order. The experiment result shows that the evaluation result of using improved grey interrelated analysis method and genetic neural network algorithm are totally unanimous.","PeriodicalId":294363,"journal":{"name":"2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009)","volume":"62 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":"114813625","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":"Study on alliance benefit allocation using TOPSIS","authors":"Y. Qiang, Yang Jing","doi":"10.1109/GSIS.2009.5408160","DOIUrl":"https://doi.org/10.1109/GSIS.2009.5408160","url":null,"abstract":"Different partners always prefer different kinds of benefit allocation methods from individual perspectives when a dynamic alliance distributes its cooperation incomes. Hence, the members of the dynamic alliance may have disagreements with others, which may cause the failure of the cooperation. This paper designs a comprehensive benefit allocation solution to incorporate different results of traditional benefits allocation method into a more reasonable one. This research also found that using the method of approximating positive ideal point and that of approximating negative ideal point will have different results. We suggest that the selection of these two ways for the alliance depends on whether it is pessimistic or optimistic.","PeriodicalId":294363,"journal":{"name":"2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009)","volume":"114 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":"114723021","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":"Prediction of international crude oil futures price based on GM(1,1)","authors":"Aimei Lin","doi":"10.1109/GSIS.2009.5408222","DOIUrl":"https://doi.org/10.1109/GSIS.2009.5408222","url":null,"abstract":"Grey prediction method is characterized by small amount data, simple calculation and accurate prediction. On the basis of WTI crude oil futures monthly price of New York Mercantile Exchange (NYMEX) from June 2008 to Feb 2009, this paper gives a grey prediction model of intentional crude oil prices. The results show that the model of GM (1,1) is suitable for crude oil prices forecast. It predicts that the crude oil price on Feb 2009 is $37.55 per barrel. In contrast with the actual market price, the prediction accuracy is as high as 95.62%.","PeriodicalId":294363,"journal":{"name":"2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009)","volume":"22 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":"115083975","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":"Quantitative analysis on the contribution of Jiangsu's education investment to its economic growth","authors":"Ge Chengxuan, L. Nan, Cai Tin","doi":"10.1109/GSIS.2009.5408021","DOIUrl":"https://doi.org/10.1109/GSIS.2009.5408021","url":null,"abstract":"Education contributes to economic growth through both direct effect and spill-out effect. This paper gauges the direct effect and spill-out effect of Jiangsu's education investment to its economic growth with Feder Model. It finds out that while education contributes highly to Jiangsu's growth, the spill-out effect is not evident, neither were the factors of capital and labor. It suggests that the government, on one hand should strengthen its investment on education system, on the other hand should bring the spill-out effect of education into play by improving the utility efficiency of capital and labor.","PeriodicalId":294363,"journal":{"name":"2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009)","volume":"52 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":"117159065","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":"TOPSIS-based attribute weight solution using three-point linguistic information","authors":"Ningning Zhu, Jian-jun Zhu, Ye Ding","doi":"10.1109/GSIS.2009.5408161","DOIUrl":"https://doi.org/10.1109/GSIS.2009.5408161","url":null,"abstract":"The multi-attribute decision making problem of uncertain three-point linguistic information is studied in this paper. The weight vector of indicators can be obtained through establishing linear goal programming in views of how to calculate the weight of indicators. Then according to the method of TOPSIS, the calculation steps of multi-attribute decision making problem of uncertain three-point linguistic information is proposed. In this paper, TOPSIS is used to solve the problem of uncertain three-point linguistic information. It can overcome the difficulty which is hard to process the interval. Finally, the method is used to evaluate the effect of the government's energy saving policies.","PeriodicalId":294363,"journal":{"name":"2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009)","volume":"6 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":"123671307","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":"Norm based organization modeling","authors":"Jun Zhao","doi":"10.1109/GSIS.2009.5408131","DOIUrl":"https://doi.org/10.1109/GSIS.2009.5408131","url":null,"abstract":"Organization information system offers an effective method to deeply understand organization. Because the traditional organization model has not enough adaptability, a Role-Behavior-Ability organization model is designed to raise organization adaptability. The process of organization modeling is based on the theory and methods of organization semiotic. Using semantic analysis and norm analysis method, a Role-Behavior-Ability model under the norm constraints is built. Because of the changeability of norm, organization model have adaptability. It can effectively decrease conflicts and raise the cooperation efficiency. In the course of organization modeling process, a case is provided to illustrate the process of organizational modeling.","PeriodicalId":294363,"journal":{"name":"2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009)","volume":"93 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":"122057156","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 technological innovation of the national-level economic and development zone — Based on grey systems theory","authors":"Li Xiang-dong","doi":"10.1109/GSIS.2009.5408325","DOIUrl":"https://doi.org/10.1109/GSIS.2009.5408325","url":null,"abstract":"According to technological innovation in the economic and development zone, the article has established an index system to analyze and evaluate the ability of technological innovation in the development zone. Using grey systems theory and coefficient variation method, the article has proposed a synthetic evaluation method of grey incidence. Through analyzing the ability for technological innovation of the economic and development zone comprehensively, the article has offered suggestions to adjust industrial structure of the development zone and worked out development strategies.","PeriodicalId":294363,"journal":{"name":"2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009)","volume":"24 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":"129517023","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}