{"title":"Simulation of karst hydrological processes using GM(1,1) metabolic model","authors":"Yajie Wang, Y. Hao, Xuemeng Wang","doi":"10.1109/GSIS.2009.5408244","DOIUrl":"https://doi.org/10.1109/GSIS.2009.5408244","url":null,"abstract":"In this paper, the GM(1,1) metabolic model was applied to simulation of the spring discharge of Niangziguan Springs. We identified the models by error analysis and found that the GM(1,1) metabolic models with data sequence of seven and eight dimensions can reflect the future variation of the springs flow. The results showed that the predicted spring flow of the models with data sequence of seven dimensions were larger than those of eight dimensions. The models provided with a range of the spring discharge. The Niangziguan Spring flow was supposed to be declining. The upper limit of Niangziguan Springs flow was likely to decrease from 6.91 to 6.73 m3/s during 2008 to 2012. Accordingly the lower limit was likely to decrease from 6.83 to 6.57 m3/s during the same period of time. The continuous decaying of Niangziguan Springs flow stressed that karst groundwater exploitation and economic activities disturbed groundwater circulation that have exceeded natural supplement.","PeriodicalId":294363,"journal":{"name":"2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009)","volume":"8 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":"123193563","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":"Approach to integrate weights based on the largest deviation among the values of aggregated evaluation","authors":"Qiaoxing Li, Jianmei Yang, Zhong-xing Wang","doi":"10.1109/GSIS.2009.5408144","DOIUrl":"https://doi.org/10.1109/GSIS.2009.5408144","url":null,"abstract":"By combining the subjective and objective weights with the optimization technique, we construct an optimal model to make the deviation among the aggregated evaluation values as large as possible. Then the final weights of indices, which reflect the subjective and objective information, can be obtained. This approach is propitious to order schemes and select the best one.","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":"123596538","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 chaos genetic simulated annealing hybrid algorithm","authors":"X. Bai, H.M. Yang, L.T. Li, H.Y. Shu","doi":"10.1109/GSIS.2009.5408146","DOIUrl":"https://doi.org/10.1109/GSIS.2009.5408146","url":null,"abstract":"On the basis of analyzing the major advantages and disadvantages of the chaos, genetic and simulated annealing algorithms, the chaos genetic simulated annealing hybrid algorithm is presented according to the complementary advantages strategy. The basic thought is initializing the initial population of genetic algorithm with chaos variables, and then calculating by genetic simulated annealing method, at last adding a disturbance to the chromosomes whose fitness are smaller with the chaos method. The result indicates that the algorithm has strong global searching capability and quick speed on converging to the optimal solution.","PeriodicalId":294363,"journal":{"name":"2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009)","volume":"2 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":"123736519","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":"Stochastic multi-attribute decision-making model based on grey matrix relational analysis and its application","authors":"Chunwang Ruan, Xin-ping Xiao","doi":"10.1109/GSIS.2009.5408170","DOIUrl":"https://doi.org/10.1109/GSIS.2009.5408170","url":null,"abstract":"In this paper, a method based on grey matrix relational analysis is proposed for stochastic multi-attribute decision-making (SMADM) problem which features incomplete information on attribute's weights and attribute values in terms of random variables which obey normal distribution. Firstly, on the basis of analyzing the related property of normal distribution, we design an index-preference probability matrix to distinguish different alternatives. A single objective programming model based on the deviation maximization theory among attributes is developed to determine the optimal weight vector. Secondly, according to grey matrix relational degree, alternatives are ranked and the complete order is obtained. Finally, a practical example is used to show the feasibility and validity of this method.","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":"122169034","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 the identification model of poor college students based on the grey clustering method","authors":"L. Hongqi, Yuan Ying, Wu Qingchun","doi":"10.1109/GSIS.2009.5408217","DOIUrl":"https://doi.org/10.1109/GSIS.2009.5408217","url":null,"abstract":"Based on the study of the current identification methods and the factors that influence the difficult degree of the students, the paper analyzed the current methods of grade assessment and identification about the students from economically disadvantaged families in domestic college and their advantages and disadvantages, advanced the systems of the grade assessment and identification about the students from economically disadvantaged families. Considering the illegibility of the index in the grade assessment systems, the paper proposes the grey clustering methods to make quantificational judge, introduced the process of the grey clustering methods and the applications in the practical case, expecting that it can afford references for the study and practice of the identification about the students from economically disadvantaged families in our country.","PeriodicalId":294363,"journal":{"name":"2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009)","volume":"66 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":"121574240","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}
Zheng-wei Lian, Yao-guo Dang, Zhengxin Wang, R. Song
{"title":"Grey distance incidence degree and its properties","authors":"Zheng-wei Lian, Yao-guo Dang, Zhengxin Wang, R. Song","doi":"10.1109/GSIS.2009.5408355","DOIUrl":"https://doi.org/10.1109/GSIS.2009.5408355","url":null,"abstract":"According to the basic theory of grey system correlation space, a type of new grey incidence degree model is constructed by starting from the perspective of n dimensional linear space. This paper makes a research about some properties of the incidence degree and compares this incidence degree with Deng's. Results indicate that this incidence degree has the same properties with Deng's; and it also has some unique advantages. It can reflect the relevance better between system factors in the view of distance space, further enrich and perfect the theoretical system of grey incidence analysis.","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":"122888889","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":"An application of GM(0, N) on analyzing the first van Hiele geometrical thinking level","authors":"Der-Bang Wu, Hsiu-Lan Ma, Guey-Shya Chen, Hei-Tsz Chang","doi":"10.1007/978-3-642-13938-3_32","DOIUrl":"https://doi.org/10.1007/978-3-642-13938-3_32","url":null,"abstract":"","PeriodicalId":294363,"journal":{"name":"2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009)","volume":"15 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":"123894059","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 study on R-OWGA operators","authors":"Ling Zhang, Dequn Zhou","doi":"10.1109/GSIS.2009.5408013","DOIUrl":"https://doi.org/10.1109/GSIS.2009.5408013","url":null,"abstract":"In this study, two new classes of aggregation operators called R-OWGA operators are presented based on OWGA operators and fuzzy measures. Some desired properties of the R-OWGA operators are studied, and the relationship between the R-OWGA and OWGA operators is also investigated.","PeriodicalId":294363,"journal":{"name":"2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009)","volume":"4 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":"125196256","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":"Some new results On the weakening buffer operator","authors":"Zheng-peng Wu, Sifeng Liu, Chuanmin Mi","doi":"10.1109/GSIS.2009.5408301","DOIUrl":"https://doi.org/10.1109/GSIS.2009.5408301","url":null,"abstract":"Based on the present theories of buffer operators, this paper proposes a kind of buffer operator, which all has the universality and practicability. We address the characteristics and the internal relations between these buffer operators. All of these effectively resolve the questions, which often come forth in modeling forecasting of disturbed data sequence by shock wave and there are some contradictions between the quantity result and the qualitative analysis.","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":"129384159","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":"Model construction and empirical study of ARMA-EGARCH","authors":"Bo Zhang, Zhong-min Yin","doi":"10.1109/GSIS.2009.5408171","DOIUrl":"https://doi.org/10.1109/GSIS.2009.5408171","url":null,"abstract":"This paper establishes an ARMA-EGARCH-M model by combining ARMA model with ARCH group models to study securities market volatility appraisal. The results based on examination of measuring indices for forecasting error using mass samples indicate that ARMA-EGARCH-M model surpasses ARCH group models on Shanghai securities market volatility fitting. To solve the fluctuation cluster and continuance, it's suggested to establish a short sales trading mechanism in the market.","PeriodicalId":294363,"journal":{"name":"2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009)","volume":"50 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":"124518863","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}