{"title":"Study on grey comprehensive evaluation and comparison of China's National Independent Innovation Ability","authors":"L. Hongqi, Yuan Chaoqing, Z. Na, Chengzhi Ding","doi":"10.1109/GSIS.2015.7301895","DOIUrl":"https://doi.org/10.1109/GSIS.2015.7301895","url":null,"abstract":"National Independent Innovation Ability is the core of the Competition and Cooperation among the power in the new period. Based on the discussion of the connotation of national independent innovation ability. This article designed the evaluation index system of national independent innovation ability, using the center of the mixed triangular whitenization weight function; established the national independent innovation ability of grey comprehensive evaluation model. It also carried on the quantitative empirical study and comparative analysis of the national independent innovation of China.","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":"128908872","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 evaluating and measuring operational risk in commercial banks based on internal control","authors":"Baobao Li, Yanfeng Wang","doi":"10.1109/GSIS.2015.7301814","DOIUrl":"https://doi.org/10.1109/GSIS.2015.7301814","url":null,"abstract":"Operational risk covers all operations of commercial banks and has a close relationship with the bank's internal control. However, in the commercial banks' management practice, internal control is always separated from the operational risk measurement. With the increasing of operational risk events in recent years, operational risk has been given more and more attention by regulators and management. The paper first discussed the relationship between internal control and operational risk management and used CVaR-POT model to measure operational risk, and then put forward a modified measurement method (to use operational risk evaluation results to modify the measurement results of the CVaR-POT model). The paper also analyzed the necessity and rationality of this method. The method takes into consideration the influence of internal control. It improves the accuracy and effectiveness of operational risk measurement, and saves the economic capital for commercial banks, avoiding the drawbacks of using some mainstream models one-sidedly.","PeriodicalId":246110,"journal":{"name":"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"77 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":"128778290","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":"Accelerated HMAX model based on improved SIFT feature points","authors":"Fu Ruigang, Li Biao, Gao Yinghui, Wang Ping","doi":"10.1109/GSIS.2015.7301905","DOIUrl":"https://doi.org/10.1109/GSIS.2015.7301905","url":null,"abstract":"Object recognition technology is an important research field of image understanding and computer vision, with its wide range of application, it attracts more and more attention. HMAX was proposed as a simple and biologically feasible model for object recognition, based on how the visual cortex processes information. However, computational cost is the biggest obstacle of this model. This paper aims to improve HMAX, and the work of this paper is as follow: 1. By studying the directional characteristics of Gabor filters, a convolution layer sparsing method is proposed to reduce the time-consuming of convolution layer. 2. By studying the extracting techniques of feature point, a new SIFT feature extraction algorithm is proposed to resolve the redundancy of patches in sampling layer. At the end of this paper, we apply the improved HMAX models to Caltech101 database. By comparing with the original model, the experimental results show that improved HMAX has a better performance.","PeriodicalId":246110,"journal":{"name":"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"76 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":"121599314","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":"Network public opinion evaluation based on grey target decision with the positive and negative bull's-eyes","authors":"Li Qian","doi":"10.1109/GSIS.2015.7301884","DOIUrl":"https://doi.org/10.1109/GSIS.2015.7301884","url":null,"abstract":"The network of public opinion has reflected more and more influence to government and society. A new multi-indicator grey target decision model with the positive and negative bull's-eye is studied. We propose the method and its algorithmic steps, then evaluate and rank the influence of the network public opinions, by the number of news and microblogging messages.","PeriodicalId":246110,"journal":{"name":"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"65 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":"126080125","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":"Product quality dynamics in closed-loop supply chains and its sensitivity analysis","authors":"Chong Li, Xiaodong Xiang, Yuling Qu","doi":"10.1109/GSIS.2015.7301904","DOIUrl":"https://doi.org/10.1109/GSIS.2015.7301904","url":null,"abstract":"The product quality or the product reliability is bound to be affected by the pursuit of sustainable supply chain strategy, especially the restructure and operation of closed-loop supply chain and the reverse supply chain. This paper first proposes the concept of product effectiveness which builds on the reliability and the time-utility value of product. Then based on mathematical probability theory and the dynamic characteristics of reverse supply chain logistics, this paper develops models which enable quantitative description of the endogenous dynamic mechanism of product effectiveness in closed-loop supply chains. We further explore the dynamic characteristics of product effectiveness under different sustainable procurement strategies and provide the algorithm models of product effectiveness sensitivity to components, respectively. Finally, numerical examples are presented.","PeriodicalId":246110,"journal":{"name":"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"26 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":"127220461","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 uncertain pure linguistic approach on evaluation of enterprise credit based on grey information","authors":"Ma Zhenzhen, Zhu Jianjun","doi":"10.1109/GSIS.2015.7301878","DOIUrl":"https://doi.org/10.1109/GSIS.2015.7301878","url":null,"abstract":"Contemporarily, for the evaluation of enterprise credit, many specific value of indexes are difficult to be obtained, so decision makers tend to give a form of uncertain linguistic. For multiple attribute group decision making under the condition of uncertain linguistic, firstly, initial uncertain linguistic variables given by experts are transferred into interval grey numbers, and their greyness of degree is computed. Secondly, the greyness of degree is applied to adjust the weights of experts. Thirdly, the core of each interval grey number is calculated, and through giving the positive ideal point and negative ideal point which are binary numbers, the comprehensive grey relational grade between the linguistic number and two points is calculated respectively, to get the ranking result of projects by considering both core and greyness of degree. Lastly, a case on enterprise credit is illustrated and compared to validate the practicability, rationality and effectiveness of the proposed method.","PeriodicalId":246110,"journal":{"name":"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"43 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":"131197078","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 the structure and operation of industrial innovation platform of civil-military integration","authors":"Qingyong Tan, Danqing Li","doi":"10.1109/GSIS.2015.7301924","DOIUrl":"https://doi.org/10.1109/GSIS.2015.7301924","url":null,"abstract":"In order to implement the guidelines of deep development of civilian-military integration, we need to carry out specific research on the characteristics, basic structure and operation mechanism of civilian-military integration for its industrial innovation platform. The industrial innovation platform of civilian-military integration consists of module suppliers, module integrators, infrastructure, external resources, scientific and research organizations and service organizations, etc. Its publicity and military nature determine that its construction and operation should be based on government regulation; modularization is the basic mode of the platform for R&D and production of its technology products, while market mechanism is the basic mechanism that the platform follows. In the start-up phase of the platform, tax preference or financial subsidies is offered with the support of credibility in order to encourage product suppliers to actively participate in the defense supply. As the innovation platform gradually develops and becomes mature, the demand scope of the demand side is expanding. In addition, reputation effect appears constantly. So the product markets of supply side are expanding increasingly and realizing the scale economies effect gradually. Then tax preference and financial subsidies can be gradually reduced until cancelled. This process reflects the network effect of the innovation platform.","PeriodicalId":246110,"journal":{"name":"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132717919","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":"Credit expansion and concentration in China based on GMCR","authors":"Jie Li, W. Han, Haiyan Xu","doi":"10.1109/GSIS.2015.7301819","DOIUrl":"https://doi.org/10.1109/GSIS.2015.7301819","url":null,"abstract":"This paper establishes a GMCR model involving the central government, commercial banks and local governments and examines the states and stability with our unique MRSC decision system. We find that firstly, GMCR can be employed to analyze some conflicts in the financial field, and it could provide help for decision makers to predict and manage conflicts. Secondly, we can see the inevitability in the formation of credit expansion and concentration. The conflict essentially arises from the fact that central government try to balance the economic growth and systemic risk while keeping the economic growth mode unchanged. Thirdly, in order to solve the credit expansion and concentration problem in a fundamental way, the central government needs to carry out reforms on the supply side and remodel the relationships between governments and economy.","PeriodicalId":246110,"journal":{"name":"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"60 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":"115315546","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 robustness risk and selection optimization of R&D project portfolio under uncertainty","authors":"Wang Jingmei, Guo Peng","doi":"10.1109/GSIS.2015.7301817","DOIUrl":"https://doi.org/10.1109/GSIS.2015.7301817","url":null,"abstract":"Facing the complexity of project portfolios selection, such as the uncertainty, interaction effects between projects and its influence on the project risk and selection, this paper proposed the conception of project portfolio robustness risk. Which is described from three aspects of; project risk, interaction effects and control costs, and is measured by the theory of the node load and node processing capacity. Then considering the uncertainty, a fuzzy project portfolio optimization model for profit maximum based on the constraint of project portfolio robustness risk and resource is established. According to the model, the improved quantum genetic algorithm is designed and an example is given. The result shows that the traditional model exclude the kind of project which can increase profit and take the risk after the project is selected into the portfolio. In addition, the model proposed in this paper can not only provide effective decision support for decision maker but also decrease the possibility of failure due to the unreasonable selection.","PeriodicalId":246110,"journal":{"name":"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"56 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":"116575273","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":"Energy consumption index of China's manufacturing based on grey change-point —from the perspective of policy","authors":"Wei-zhuo Sun, S. Ji, Zaiwu Gong, Qianqian Chen","doi":"10.1109/GSIS.2015.7301840","DOIUrl":"https://doi.org/10.1109/GSIS.2015.7301840","url":null,"abstract":"Over the last three decades, China's manufacturing industry has developed rapidly, the demand for energy is rising, thus energy consumption grows increasingly, giving rise to the energy crisis. This article has collected energy data from 28 manufacturing industries from 1985-2012 and normalizes this data based on maximum deviation. It also works out the weight of each indicator and their comprehensive evaluation values to build the model of energy consumption index. In addition, this paper takes the manufacturing consumption index as a data column to determine the change-points in the trend of energy consumption index by using the correlation analysis method and constructing the search algorithm of change-points of a short time series. We have come to the conclusion that there is a decline in the trend of manufacturing consumption index, and the change-points of energy consumption index are in 1994 and 2005. According to the results, the data of energy consumption index is divided into the following three cycles:1985-1994,1995-2004,2005-2012. This research will do further analysis on the change-points and energy consumption index from the angle of national energy policy, and provides references for the establishment of China's energy policy.","PeriodicalId":246110,"journal":{"name":"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"50 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":"123515686","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}