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

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Analysis of tianjin basketball comprehensive based on grey incidence analysis from 2012–2013 CBA 基于灰色关联分析的2012-2013年CBA天津篮球综合成绩分析
2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS) Pub Date : 2015-10-26 DOI: 10.1109/GSIS.2015.7301847
Zhang Qinglei, Hu Yimin
{"title":"Analysis of tianjin basketball comprehensive based on grey incidence analysis from 2012–2013 CBA","authors":"Zhang Qinglei, Hu Yimin","doi":"10.1109/GSIS.2015.7301847","DOIUrl":"https://doi.org/10.1109/GSIS.2015.7301847","url":null,"abstract":"Selecting of the team average score (y1), the average loss score (y2), winning percentage (y3) as the dependent variables; Selecting (x1 - X19) (see table 1) as the independent variables, we build a basketball team's comprehensive strength evaluation system. A grey correlation analysis model was constructed, and modeling analysis of 2012-2013 CBA season performance of Tianjin team was done. The results show that: (1) In evaluating the team overall strength, the team score y1 is the optimal index, winning times take second place, points in the end;(2) Cooperative engagement and defensive ability is key for successful competition;(3) The cooperative engagement and defensive ability of the Tianjin team is weak.","PeriodicalId":246110,"journal":{"name":"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128708710","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
Fractional order grey reducing generation operator and its properties 分数阶灰约简生成算子及其性质
2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS) Pub Date : 2015-10-26 DOI: 10.1109/GSIS.2015.7301824
Meng Wei, Zeng Bo, L. Si-feng, Fang Zhi-geng
{"title":"Fractional order grey reducing generation operator and its properties","authors":"Meng Wei, Zeng Bo, L. Si-feng, Fang Zhi-geng","doi":"10.1109/GSIS.2015.7301824","DOIUrl":"https://doi.org/10.1109/GSIS.2015.7301824","url":null,"abstract":"By utilizing Gamma function expanded for integer factorial, this paper expands one order reducing generation operator into integer order reducing generation operator and fractional order reducing generation operator, and gives the analytical expression of fractional order reducing generation operator. Actually, one order reducing generation operator and integer order reducing generation operator are both special cases of fractional order reducing generation operator. Theoretical proof and numerical simulation shows that fractional order reducing generation operator satisfies commutative law, exponential law and other properties. Expanding the reducing generation operator would help develop grey prediction model with fractional order operators and widen the application fields of the grey prediction model.","PeriodicalId":246110,"journal":{"name":"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128881343","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
Evolution mechanism of R&D network based on university-industry cross-organizational knowledge integration 基于校企跨组织知识整合的研发网络演化机制
2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS) Pub Date : 2015-10-26 DOI: 10.1109/GSIS.2015.7301914
Lirong Jian, Yu Zhang, Sifeng Liu
{"title":"Evolution mechanism of R&D network based on university-industry cross-organizational knowledge integration","authors":"Lirong Jian, Yu Zhang, Sifeng Liu","doi":"10.1109/GSIS.2015.7301914","DOIUrl":"https://doi.org/10.1109/GSIS.2015.7301914","url":null,"abstract":"University-industry cross-organizational knowledge integration are emerging in China, and the industrial technology research institute is one of the typical knowledge integration organization. In order to effectively break through the barriers between the different innovation subjects and to form an effective connection channel among basic research, application research and development and promotion of the market; this paper is based on the overall perspective of university-industry cross-organizational knowledge integration. To design a model framework of university-industry cross-organizational knowledge integration, which can integrate the tacit knowledge and coding knowledge among the academia, science and technology service, industry, finance and government . On the basis, it analyses the relationship between the scale-free network and university-industry cross-organizational knowledge integration network. According to the characteristics of technology R&D network, it constructs the optimization evolution model of scale-free network, and analyses the dynamic characteristics. The constructed model is applied to the Jiangsu province rail transit industry technology innovation strategic alliance technology R&D network evolution. The results of the study show that the evolution of technology R&D network obeys the power-law distributions.","PeriodicalId":246110,"journal":{"name":"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127201683","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
Reaearch on the innovation evaluation of industry-university- research cooperation based on the grey clustering analysis 基于灰色聚类分析的产学研合作创新评价研究
2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS) Pub Date : 2015-10-26 DOI: 10.1109/GSIS.2015.7301894
Li Gang, Guo Peng
{"title":"Reaearch on the innovation evaluation of industry-university- research cooperation based on the grey clustering analysis","authors":"Li Gang, Guo Peng","doi":"10.1109/GSIS.2015.7301894","DOIUrl":"https://doi.org/10.1109/GSIS.2015.7301894","url":null,"abstract":"Industry-university-research cooperation is an important mode, which can promote the enterprises' innovation. After referring to some related works, this paper puts forward a novel thought that the evaluation of innovation results of the industry-university-research cooperation can be based on the method of grey clustering analysis. This paper carried out a case study, the conclusion indicated that the method used to evaluate the cooperation results of industry-university-research is strongly practical.","PeriodicalId":246110,"journal":{"name":"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126003698","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
Mean-Shift moving target tracking algorithm based on weighted sub-block 基于加权子块的Mean-Shift运动目标跟踪算法
2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS) Pub Date : 2015-10-26 DOI: 10.1109/GSIS.2015.7301907
Wang Xing-mei, Dong Hongbin, Yang Xue, Li Lin
{"title":"Mean-Shift moving target tracking algorithm based on weighted sub-block","authors":"Wang Xing-mei, Dong Hongbin, Yang Xue, Li Lin","doi":"10.1109/GSIS.2015.7301907","DOIUrl":"https://doi.org/10.1109/GSIS.2015.7301907","url":null,"abstract":"To reduce the tracking errors caused by the background change and occlusion in dynamic scenes, a novel Mean-Shift moving target tracking algorithm based on weighted sub-block is proposed in this paper. Moving target tracking is completed by blocking the target region. The weight of each sub-block is determined by the combination of the similarity between target sub-block and candidate sub-block and the ratio of the target sub-block area and the overall area. At the same time, the edge position of the target sub-block is found by means of a Sobel operator edge detection algorithm. By which, the target sub-block area is obtained. Both of the target region's RGB color information and the pixel's position information are taken into consideration while describing the characteristic model of target and candidate region inside each sub-block. The experiments demonstrate that the proposed method is insensitive to the background change and occlusion, and has better tracking performance with higher tracking accuracy and adaptability.","PeriodicalId":246110,"journal":{"name":"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132764026","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
Multi-agent simulation model of China's real estate market based on bayesian network decision making 基于贝叶斯网络决策的中国房地产市场多智能体仿真模型
2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS) Pub Date : 2015-10-26 DOI: 10.1109/GSIS.2015.7301883
Yang Shen, Yongchen Guo, Zhigeng Fang
{"title":"Multi-agent simulation model of China's real estate market based on bayesian network decision making","authors":"Yang Shen, Yongchen Guo, Zhigeng Fang","doi":"10.1109/GSIS.2015.7301883","DOIUrl":"https://doi.org/10.1109/GSIS.2015.7301883","url":null,"abstract":"In recent years, agent-based modeling and simulation (ABMS) methods have attracted the people's attention in the field of management science and is becoming a important tool for solving complex problems. In this paper, the Bayesian network is introduced to ABMS methods, and a multi-agent system of China's real estate market is proposed based on the Bayesian network with uncertain information, which has the abilities of online learning and effect describing for group behavior. China's real estate market ecology is simulated by the system. Simulation results can accurately reproduce the operation of China's real estate market, so to prove the effectiveness of the model. Through simulating for related parameters, some valuable findings on operation rule of estate market are obtained. The model and method developed in the paper provide reference for studying China's real estate market rules.","PeriodicalId":246110,"journal":{"name":"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115507951","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
Practice and discussion of a collaborative innovation model for ethnic medical technology education and industry 民族医学技术教育与产业协同创新模式的实践与探讨
2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS) Pub Date : 2015-10-26 DOI: 10.1109/GSIS.2015.7301915
G. Zhu, Yaokun Xiong, Zhi-Hong Yan, Zhiyong Liu, Xiaoping Zhou, Fei Li
{"title":"Practice and discussion of a collaborative innovation model for ethnic medical technology education and industry","authors":"G. Zhu, Yaokun Xiong, Zhi-Hong Yan, Zhiyong Liu, Xiaoping Zhou, Fei Li","doi":"10.1109/GSIS.2015.7301915","DOIUrl":"https://doi.org/10.1109/GSIS.2015.7301915","url":null,"abstract":"The plight of ethnic medical technology, education, and industry in ethnic minorities was examined, and the combined “industry-education-research” experience of Jiangxi University of Traditional Chinese Medicine was analyzed. Facing key scientific issues and technological demands, the development of an innovative collaborative model for ethnic medical technology, education, and industry was examined, and strategies were explored for its convergence with fields in Eastern medical education, science and technology, pharmaceutical engineering technology, traditional ethnic medicine, and cultural innovation and resources to create top-notch innovative medical teams and technology platforms. The development of interdisciplinary collaborative teams is an innovation that may carry forward the deeply rooted culture of ethnic medicine to develop ethnic medical science and industry. Such collaboration will promote integration of minority characteristics and provided advantages to the industry.","PeriodicalId":246110,"journal":{"name":"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121642923","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
Consensus models at minimum quadratic cost and its economic interpretation 最小二次代价下的共识模型及其经济学解释
2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS) Pub Date : 2015-10-26 DOI: 10.1109/GSIS.2015.7301879
Zaiwu Gong, Huanhuan Zhang, Chao Xu, Xiaoxia Xu
{"title":"Consensus models at minimum quadratic cost and its economic interpretation","authors":"Zaiwu Gong, Huanhuan Zhang, Chao Xu, Xiaoxia Xu","doi":"10.1109/GSIS.2015.7301879","DOIUrl":"https://doi.org/10.1109/GSIS.2015.7301879","url":null,"abstract":"Reaching a consensus in a group decision-making (GDM) usually costs plenty of time and resources, so how to minimize the total cost in a GDM process has become the focus of most researchers, which makes the construction of the minimum cost consensus models be the key research field in recent years. The aim of this paper is to propose two kinds of non-linear minimum cost consensus models: one considers all the individual decision makers (DMs), while the other focuses only on a particular DM. To do this, consensus models based on minimum cost and maximum return are constructed. By using the dual theory in quadratic programming, the economic significance of these two models is verified and their relationship is further explored.","PeriodicalId":246110,"journal":{"name":"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131807721","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 combined POL consumption forecast based on bayes adaptive weighting 基于贝叶斯自适应加权的混合燃料消耗预测研究
2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS) Pub Date : 2015-10-26 DOI: 10.1109/GSIS.2015.7301919
Li Bixin, Li Heng, Yongdong Su, H. Jin
{"title":"Research on combined POL consumption forecast based on bayes adaptive weighting","authors":"Li Bixin, Li Heng, Yongdong Su, H. Jin","doi":"10.1109/GSIS.2015.7301919","DOIUrl":"https://doi.org/10.1109/GSIS.2015.7301919","url":null,"abstract":"In the future informatization battlefield with high technology, POL (petroleum, oil and lubrication) consumption is featured with openness, non-linear, dynamic, uncertainty and self-similarity. Based on Bayes, known probability distribution and deduction of observed data, this paper aims to conduct adaptive weighting for adaptive filtration forecast model; Case-Based-Reasoning (CBR) forecast model, and grey-fractal dimension forecast model. So, to form a combined POL consumption forecast model based on Bayes adaptive weighting, optimize the POL consumption forecast model, and improve the forecast precision of POL consumption.","PeriodicalId":246110,"journal":{"name":"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129975265","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 fixed weight cluster model of interval grey numbers based on central-point triangular whitenization weight function 基于中心点三角形白化权函数的区间灰数灰色定权聚类模型
2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS) Pub Date : 2015-10-26 DOI: 10.1109/GSIS.2015.7301881
Ye Jing, Dang Yaoguo, Zhang Baoqin
{"title":"Grey fixed weight cluster model of interval grey numbers based on central-point triangular whitenization weight function","authors":"Ye Jing, Dang Yaoguo, Zhang Baoqin","doi":"10.1109/GSIS.2015.7301881","DOIUrl":"https://doi.org/10.1109/GSIS.2015.7301881","url":null,"abstract":"Focusing on the grey cluster problem of observation values with interval grey numbers, this paper presents a new expression of the central-point triangular whitenization weight function by using interval grey numbers. Through the construction of this integral mean value function on the set of interval grey numbers, the scope of application of grey clustering model is extended to the interval grey number category, and thus the grey fixed weight cluster model based on interval grey numbers is established. Finally, the model is applied to an instance, and the results verify the validity and practicability of the model.","PeriodicalId":246110,"journal":{"name":"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127607183","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
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