Pub Date : 2017-08-01DOI: 10.1109/GSIS.2017.8077675
Sulata Bhandari, T. Thakur, J. Kumar
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.
{"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}
Pub Date : 2017-08-01DOI: 10.1109/GSIS.2017.8077687
Jing Tao, Y. Wang, Yuhang Zhang
Based on economic development and resource of Countries of “the Belt and Road”, the paper divides OFDI into two types by clustering analysis which are Resource Acquisition OFDI and Market Acquisition OFDI, and uses the method of Grey Incidence Analysis to conduct an empirical research on location choice determinants of OFDI from China to Major Countries of “B&R”. It shows that market size, political corruption, labor cost, bilateral trade stability, the level of infrastructure, and natural resource endowments are the main factors. In addition, as for two types OFDI, their main factors which affect investment location choice are different: the important factors which determine the location of China's Resource Acquisition OFDI are bilateral trade stability, labor cost and political corruption of host countries; for market acquisition OFDI, the significant factors are market size, infrastructure, bilateral trade, and political corruption of host countries.
{"title":"Grey incidence analysis on location choice determinants of China's OFDI in major countries of “the belt and road”","authors":"Jing Tao, Y. Wang, Yuhang Zhang","doi":"10.1109/GSIS.2017.8077687","DOIUrl":"https://doi.org/10.1109/GSIS.2017.8077687","url":null,"abstract":"Based on economic development and resource of Countries of “the Belt and Road”, the paper divides OFDI into two types by clustering analysis which are Resource Acquisition OFDI and Market Acquisition OFDI, and uses the method of Grey Incidence Analysis to conduct an empirical research on location choice determinants of OFDI from China to Major Countries of “B&R”. It shows that market size, political corruption, labor cost, bilateral trade stability, the level of infrastructure, and natural resource endowments are the main factors. In addition, as for two types OFDI, their main factors which affect investment location choice are different: the important factors which determine the location of China's Resource Acquisition OFDI are bilateral trade stability, labor cost and political corruption of host countries; for market acquisition OFDI, the significant factors are market size, infrastructure, bilateral trade, and political corruption of host countries.","PeriodicalId":425920,"journal":{"name":"2017 International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"23 6 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":"121740197","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}
Pub Date : 2017-08-01DOI: 10.1109/GSIS.2017.8077709
Fenglin Zhang, Xingming Gao
Based on the three-terminal interval number and the project risk theory, this paper discusses the problem of risk weighting in uncertain market decision-making, and puts forward the method of combining the grey system theory and the three-terminal interval number to determine the weight of decision-making. The best-selling weight, the unsalable weight and the normal weight are calculated by expert preference. The final mathematical expectation of the product is used to sort the decision-making plan. The results of case analysis show that the grey three-terminal interval decision model proposed in this paper has good feasibility and rationality.
{"title":"A decision model of three — Endpoint interval method based on grey theory","authors":"Fenglin Zhang, Xingming Gao","doi":"10.1109/GSIS.2017.8077709","DOIUrl":"https://doi.org/10.1109/GSIS.2017.8077709","url":null,"abstract":"Based on the three-terminal interval number and the project risk theory, this paper discusses the problem of risk weighting in uncertain market decision-making, and puts forward the method of combining the grey system theory and the three-terminal interval number to determine the weight of decision-making. The best-selling weight, the unsalable weight and the normal weight are calculated by expert preference. The final mathematical expectation of the product is used to sort the decision-making plan. The results of case analysis show that the grey three-terminal interval decision model proposed in this paper has good feasibility and rationality.","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":"114261520","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}
Pub Date : 2017-08-01DOI: 10.1109/GSIS.2017.8077736
Yuting Chen, B. Liu
Crowdfunding is developing as a novel and popular transaction method, which can largely improve the efficiency of raising initial funds and selling innovative products. In this paper, we explore the optimal pricing strategies of the reward-based crowdfunding creator when substitutes exist. First, considering the characteristics of reward-based crowdfunding, we present four pricing strategies when substitutes exist. Then we propose the optimal pricing strategies to maximize the total profit of the creator under different circumstances facing strategic consumers. Finally, in the consideration of the differences of the valuations of the consumers, we make an equilibrium analysis by comparing the total profits of the four pricing strategies under different values of the substitution coefficient in order to get the optimal pricing strategy under a uniform distribution of the valuations of consumers.
{"title":"The optimal pricing strategy of the reward-based crowdfunding product facing strategic consumers","authors":"Yuting Chen, B. Liu","doi":"10.1109/GSIS.2017.8077736","DOIUrl":"https://doi.org/10.1109/GSIS.2017.8077736","url":null,"abstract":"Crowdfunding is developing as a novel and popular transaction method, which can largely improve the efficiency of raising initial funds and selling innovative products. In this paper, we explore the optimal pricing strategies of the reward-based crowdfunding creator when substitutes exist. First, considering the characteristics of reward-based crowdfunding, we present four pricing strategies when substitutes exist. Then we propose the optimal pricing strategies to maximize the total profit of the creator under different circumstances facing strategic consumers. Finally, in the consideration of the differences of the valuations of the consumers, we make an equilibrium analysis by comparing the total profits of the four pricing strategies under different values of the substitution coefficient in order to get the optimal pricing strategy under a uniform distribution of the valuations of consumers.","PeriodicalId":425920,"journal":{"name":"2017 International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"110 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":"122570531","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}
Pub Date : 2017-08-01DOI: 10.1109/GSIS.2017.8077727
Yaping Li, E. Pan, Zhen Chen
The time-based preventive maintenance, used by the integrated model of SPC and maintenance policy in most research, caused unnecessary or absent actions with a high probability due to ignoring the actual operation condition of the machine. We consider the predictive maintenance according to the health condition of the machine to develop a joint optimization model of SPC and maintenance policy. The objective of the model is to minimize the cost per unit time in the cycle by find the optimal values of maintenance time threshold about the health index, maintenance frequency, control limit, sample size and sampling interval. A numerical example and thorough sensitivity analysis are provided to illustrate the efficiency of the proposed joint optimization model.
{"title":"Considering machine health condition in jointly optimizing predictive maintenance policy and X-bar control chart","authors":"Yaping Li, E. Pan, Zhen Chen","doi":"10.1109/GSIS.2017.8077727","DOIUrl":"https://doi.org/10.1109/GSIS.2017.8077727","url":null,"abstract":"The time-based preventive maintenance, used by the integrated model of SPC and maintenance policy in most research, caused unnecessary or absent actions with a high probability due to ignoring the actual operation condition of the machine. We consider the predictive maintenance according to the health condition of the machine to develop a joint optimization model of SPC and maintenance policy. The objective of the model is to minimize the cost per unit time in the cycle by find the optimal values of maintenance time threshold about the health index, maintenance frequency, control limit, sample size and sampling interval. A numerical example and thorough sensitivity analysis are provided to illustrate the efficiency of the proposed joint optimization model.","PeriodicalId":425920,"journal":{"name":"2017 International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"1 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":"129285516","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}
Pub Date : 2017-08-01DOI: 10.1109/GSIS.2017.8077710
Aiqing Ruan, Yinao Wang
One of the important types of decision-making theory is uncertain decision-making. It is critical to express uncertain information effectively and depose them in reasonable and simple way. Firstly this paper makes a brief overview of the existing method for recording uncertainty information, such as stochastic method, fuzzy mathematics and interval method. Then the conception of grey system theory is introduced and the conception of Grey Potential Degree is build up in the paper. And a new grey potential-based method on comparing grey number is proposed. At the same time the standard grey potential and its application is studied. It is presented by two examples, that the grey potential-based method could be used to solve the problem of comparing and sorting grey number conveniently and effectively.
{"title":"Standard grey potential degree and its application on uncertain decision-making","authors":"Aiqing Ruan, Yinao Wang","doi":"10.1109/GSIS.2017.8077710","DOIUrl":"https://doi.org/10.1109/GSIS.2017.8077710","url":null,"abstract":"One of the important types of decision-making theory is uncertain decision-making. It is critical to express uncertain information effectively and depose them in reasonable and simple way. Firstly this paper makes a brief overview of the existing method for recording uncertainty information, such as stochastic method, fuzzy mathematics and interval method. Then the conception of grey system theory is introduced and the conception of Grey Potential Degree is build up in the paper. And a new grey potential-based method on comparing grey number is proposed. At the same time the standard grey potential and its application is studied. It is presented by two examples, that the grey potential-based method could be used to solve the problem of comparing and sorting grey number conveniently and effectively.","PeriodicalId":425920,"journal":{"name":"2017 International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"53 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":"129415643","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}
Pub Date : 2017-08-01DOI: 10.1109/GSIS.2017.8077738
Fu Fan, Beiyou Li, Yubo Yang
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.
{"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}
Pub Date : 2017-08-01DOI: 10.1109/GSIS.2017.8077688
Z. Yin, Xuemei Li, Xue Jin, Zhangjian Chen
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.
{"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}
Pub Date : 2017-08-01DOI: 10.1109/GSIS.2017.8077700
Pengzhan Cui, Ye-qing Guan, Ying Zhu
Flood loss prediction is very important in China. In this paper, flood factors of coastal city, such as geological sedimentation rate, rise in sea level height, precipitation, urban drainage pipe length, annual GDP and population throughout the year will be considered to predict flood loss. Firstly, AHP will be used to determine the weight of flood factors. Considering the characteristics of different factors, GM is applied to get predictive values of flood factors. Then predictive values and weights are applied to ANN method to obtain flood loss of coastal city. Finally, Shenzhen is regarded as an example to verify the feasibility of this methods GM, DGM and ANN methods compared.
{"title":"Flood loss prediction of coastal city based on GM-ANN","authors":"Pengzhan Cui, Ye-qing Guan, Ying Zhu","doi":"10.1109/GSIS.2017.8077700","DOIUrl":"https://doi.org/10.1109/GSIS.2017.8077700","url":null,"abstract":"Flood loss prediction is very important in China. In this paper, flood factors of coastal city, such as geological sedimentation rate, rise in sea level height, precipitation, urban drainage pipe length, annual GDP and population throughout the year will be considered to predict flood loss. Firstly, AHP will be used to determine the weight of flood factors. Considering the characteristics of different factors, GM is applied to get predictive values of flood factors. Then predictive values and weights are applied to ANN method to obtain flood loss of coastal city. Finally, Shenzhen is regarded as an example to verify the feasibility of this methods GM, DGM and ANN methods compared.","PeriodicalId":425920,"journal":{"name":"2017 International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"114 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":"127947730","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}
Pub Date : 2017-08-01DOI: 10.1109/GSIS.2017.8077704
Xiaolu Li, Weiming Yang, Bing-jun Li
For the multi-index decision problem with uncertain information, this paper introduces the definition of interval distance of three-parameter interval grey number, proposes the relative degree of grey incidence based on interval distance of three-parameter interval grey number, constructs the grey incidence decision-making model with three-parameter interval grey number, measures the relative degree of grey incidence based on interval distance, and sorts the decision schemes according to the relative degree of grey incidence to select the best scheme. Finally, this model is applied to a practical decision-making problem, and the feasibility of the method is proved by comparing with the result of the existing example.
{"title":"Grey decision model based on three-parameter interval grey number","authors":"Xiaolu Li, Weiming Yang, Bing-jun Li","doi":"10.1109/GSIS.2017.8077704","DOIUrl":"https://doi.org/10.1109/GSIS.2017.8077704","url":null,"abstract":"For the multi-index decision problem with uncertain information, this paper introduces the definition of interval distance of three-parameter interval grey number, proposes the relative degree of grey incidence based on interval distance of three-parameter interval grey number, constructs the grey incidence decision-making model with three-parameter interval grey number, measures the relative degree of grey incidence based on interval distance, and sorts the decision schemes according to the relative degree of grey incidence to select the best scheme. Finally, this model is applied to a practical decision-making problem, and the feasibility of the method is proved by comparing with the result of the existing example.","PeriodicalId":425920,"journal":{"name":"2017 International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"105 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":"126375664","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}
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