2017 International Conference on Grey Systems and Intelligent Services (GSIS)最新文献_第5页

Deciding switching angles and voltage levels for a multilevel inverter using grey relational approach 用灰色关联方法确定多电平逆变器的开关角和电压电平

2017 International Conference on Grey Systems and Intelligent Services (GSIS) Pub Date : 2017-08-01 DOI: 10.1109/GSIS.2017.8077675

Sulata Bhandari, T. Thakur, J. Kumar

{"title":"Deciding switching angles and voltage levels for a multilevel inverter using grey relational approach","authors":"Sulata Bhandari, T. Thakur, J. Kumar","doi":"10.1109/GSIS.2017.8077675","DOIUrl":"https://doi.org/10.1109/GSIS.2017.8077675","url":null,"abstract":"Inverter is an integral part of any renewable energy conversion system. For a multilevel inverter, attempt is to obtain an output voltage which is near sinusoidal in shape. The switching angles and the voltage levels are decided in such a way so as to maximize the fundamental component with minimum THD. In this paper, it is shown how a simple method like Grey Analysis method can be used to decide the switching angles and voltage levels of a multilevel inverter so as to get an output with maximum fundamental component and reduced total harmonic distortion (THD). For a seven level inverter, six output waveforms are assumed and then the best suitable one from amongst these six waveforms is found out using this method. It is the magnitude of fundamental component and presence of harmonics, especially the lower order harmonics, which affects the output of any inverter. Thus a Multivariable Grey Relational Function is generated by quantifying the effects of multiple factors, i.e. magnitude of fundamental component and also the weighted (WTHD) effect of its harmonics, into a single index. The result thus obtained was authenticated using simulations in Matlab Simulink platform.","PeriodicalId":425920,"journal":{"name":"2017 International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116842457","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

Grey incidence analysis on location choice determinants of China's OFDI in major countries of “the belt and road” 中国在“一带一路”主要国家对外直接投资区位选择决定因素的灰色关联分析

2017 International Conference on Grey Systems and Intelligent Services (GSIS) Pub Date : 2017-08-01 DOI: 10.1109/GSIS.2017.8077687

Jing Tao, Y. Wang, Yuhang Zhang

引用次数: 1

A decision model of three — Endpoint interval method based on grey theory 基于灰色理论的三端点区间法决策模型

2017 International Conference on Grey Systems and Intelligent Services (GSIS) Pub Date : 2017-08-01 DOI: 10.1109/GSIS.2017.8077709

Fenglin Zhang, Xingming Gao

引用次数: 0

The urban employment matching decision-making of rural migrant workers based on grey incidence analysis 基于灰色关联分析的农民工城镇就业匹配决策

2017 International Conference on Grey Systems and Intelligent Services (GSIS) Pub Date : 2017-08-01 DOI: 10.1109/GSIS.2017.8077672

Yong Liu, Hui Li, Xi Chen, B. Cao

{"title":"The urban employment matching decision-making of rural migrant workers based on grey incidence analysis","authors":"Yong Liu, Hui Li, Xi Chen, B. Cao","doi":"10.1109/GSIS.2017.8077672","DOIUrl":"https://doi.org/10.1109/GSIS.2017.8077672","url":null,"abstract":"With the accelerating process of urbanization, rural migrant workers flood into the cities. Research projects that aim at resettlement and employment promotion of these workers, social stability, as well as economic development have drawn attention of government and scholars alike. With respect to the matching problems of urban employment of rural migrant workers, grey incidence analysis and two-sided matching theory is exploited to establish a novel two-sided matching decision-making model between rural workers and their jobs. In this paper, first, grey incidence analysis is used to describe and measure the preference information and satisfaction degree of both rural workers and their jobs; from the perspective of satisfaction degree of matching subjects, stability of the matching plan and equality, a multi-objective optimization model for two-sided matching decision-making problem between rural workers and their jobs was constructed, based on minimum matching distance and minimum deviation of matching distance; then linear weighting method is exploited to convert the multi-objective matching model into a single-objective optimization model to determine the two-sided matching plan between rural workers and their jobs; finally, the real problem of urban employment of rural migrant workers is discussed.","PeriodicalId":425920,"journal":{"name":"2017 International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114481323","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

Considering machine health condition in jointly optimizing predictive maintenance policy and X-bar control chart 考虑机器健康状况的预测性维护策略和x柱控制图联合优化

2017 International Conference on Grey Systems and Intelligent Services (GSIS) Pub Date : 2017-08-01 DOI: 10.1109/GSIS.2017.8077727

Yaping Li, E. Pan, Zhen Chen

引用次数: 3

Study of the impact of TMT characteristics on the technology diversification and performance relationship of high-tech enterprise TMT特征对高新技术企业技术多元化及绩效关系的影响研究

2017 International Conference on Grey Systems and Intelligent Services (GSIS) Pub Date : 2017-08-01 DOI: 10.1109/GSIS.2017.8077738

Fu Fan, Beiyou Li, Yubo Yang

{"title":"Study of the impact of TMT characteristics on the technology diversification and performance relationship of high-tech enterprise","authors":"Fu Fan, Beiyou Li, Yubo Yang","doi":"10.1109/GSIS.2017.8077738","DOIUrl":"https://doi.org/10.1109/GSIS.2017.8077738","url":null,"abstract":"In recent years, due to the diversified technology's influence over organizational performance, it has attracted the attention of many scholars. However, very few studies have been done on the relationships between the diversified technology, enterprise performance and the regulating effect of the senior management team. In this paper, through the adoption of Chinese hi-tech listed companies' panel data from 2004 to 2012emprirical analysis of technology diversification's relationship with corporate performance has been made. Also, analysis of the adjustment to the relationship of the characteristics of TMT technology diversification and performance has been done. Results indicate positive correlation between the technology diversification and corporate financial performance and inverted u-shaped relationship between technological diversification and innovation performance. The functions of TMT output have the positive adjustment to technology diversification and performance. And the proportion of a variety of professional experience has a negative regulatory function.","PeriodicalId":425920,"journal":{"name":"2017 International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132265538","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

Standard grey potential degree and its application on uncertain decision-making 标准灰色势度及其在不确定决策中的应用

2017 International Conference on Grey Systems and Intelligent Services (GSIS) Pub Date : 2017-08-01 DOI: 10.1109/GSIS.2017.8077710

Aiqing Ruan, Yinao Wang

引用次数: 0

Flood loss prediction of coastal city based on GM-ANN 基于GM-ANN的沿海城市洪水损失预测

2017 International Conference on Grey Systems and Intelligent Services (GSIS) Pub Date : 2017-08-01 DOI: 10.1109/GSIS.2017.8077700

Pengzhan Cui, Ye-qing Guan, Ying Zhu

引用次数: 4

Storm surge economic losses of China's typical provinces based on grey relational analysis 基于灰色关联分析的中国典型省份风暴潮经济损失

2017 International Conference on Grey Systems and Intelligent Services (GSIS) Pub Date : 2017-08-01 DOI: 10.1109/GSIS.2017.8077688

Z. Yin, Xuemei Li, Xue Jin, Zhangjian Chen

{"title":"Storm surge economic losses of China's typical provinces based on grey relational analysis","authors":"Z. Yin, Xuemei Li, Xue Jin, Zhangjian Chen","doi":"10.1109/GSIS.2017.8077688","DOIUrl":"https://doi.org/10.1109/GSIS.2017.8077688","url":null,"abstract":"Chinese coastal provinces are suffering from storm surge, which causes huge economic losses, since several years. The purpose of this paper is to calculate the grey correlation degree according to the similarity in the change rate of direct economic losses between different provinces with GCRA model and cluster the coastal provinces. This paper selects the most typical five coastal provinces, using the rate of change associated and grey clustering method to analyze the direct economic losses caused by the storm surge from 2009 to 2016. Through analyzing the direct loss of storm surge in five typical coastal provinces by GCRA model, we can draw the conclusion that five typical provinces can be divided into three types. For the government and related disaster management departments, when they make the policy and take relevant measures in the process of storm surge prevention, they may take similar policies or measures for the same type of provinces, in order to improve administrative efficiency. The proposed GCRA model is very important for calculating the grey correlation degree according to the similarity in the change rate between sequences.","PeriodicalId":425920,"journal":{"name":"2017 International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114408628","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

Grey decision model based on three-parameter interval grey number 基于三参数区间灰数的灰色决策模型

2017 International Conference on Grey Systems and Intelligent Services (GSIS) Pub Date : 2017-08-01 DOI: 10.1109/GSIS.2017.8077704

Xiaolu Li, Weiming Yang, Bing-jun Li

引用次数: 2