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2017 International Conference on Grey Systems and Intelligent Services (GSIS)最新文献

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Grey sentiment analysis using SentiWordNet 基于SentiWordNet的灰色情感分析
2017 International Conference on Grey Systems and Intelligent Services (GSIS) Pub Date : 2017-08-01 DOI: 10.1109/GSIS.2017.8077719
Liviu-Adrian Cotfas, Camelia Delcea, I. Raicu, I. Bradea, E. Scarlat
{"title":"Grey sentiment analysis using SentiWordNet","authors":"Liviu-Adrian Cotfas, Camelia Delcea, I. Raicu, I. Bradea, E. Scarlat","doi":"10.1109/GSIS.2017.8077719","DOIUrl":"https://doi.org/10.1109/GSIS.2017.8077719","url":null,"abstract":"Sentiment analysis is one of the most important topics in the Natural Language Processing field, aiming to determine whether a text expresses a positive, negative or neutral perception. In most sentiment analysis applications, a central role is played by the sentiment lexicons, which are lexical resources that include lists of tokens, together with the associated polarity score for each token or term. However, such approaches do not take into consideration the fact that a term might have distinct and sometimes even opposite sentiment polarities in different contexts. The present paper uses the grey system theory in order to associate terms with the most likely intervals of polarity, in order to enable a more accurate sentiment understanding, through grey sentiment analysis, even in limited information contexts, such as social media analysis.","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":"130329806","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: 5
The improved GM(1,1) based on PSO with stochastic weight 基于随机权值粒子群的改进GM(1,1)
2017 International Conference on Grey Systems and Intelligent Services (GSIS) Pub Date : 2017-08-01 DOI: 10.1109/GSIS.2017.8077693
Fanlin Meng, Tianhui Wang, Bing-jun Li
{"title":"The improved GM(1,1) based on PSO with stochastic weight","authors":"Fanlin Meng, Tianhui Wang, Bing-jun Li","doi":"10.1109/GSIS.2017.8077693","DOIUrl":"https://doi.org/10.1109/GSIS.2017.8077693","url":null,"abstract":"In order to improve the prediction accuracy of GM(1,1) this paper points out the disadvantages of using least square method to solve the parameters of model, attempts to use particle swarm optimization algorithm (PSO) to calculate the parameter of GM(1,1), introduces the stochastic strategy into PSO to endow the inertia weight of particle randomly, and then selects high-rising exponential sequence and low-rising exponential sequence to establish the improved GM(1,1), traditional GM(1,1) and DGM(1,1) to compare the fitting accuracy. In addition, the grey correlation analysis is used to measure the similarity between the fitting sequence and the original sequence of three models. The results show that: for the low-rising exponential sequence, the improved GM(1,1) is slightly better than traditional GM(1,1) and DGM(1,1); for the high-rising exponential sequence, the superiority of improved GM(1,1) is obviously higher than the other two models, especially the traditional GM(1,1); for these two types of sequences, the geometry of fitting sequence based on improved GM(1,1) is closer to the geometry of original sequence.","PeriodicalId":425920,"journal":{"name":"2017 International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"149 4 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":"133387674","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
Uniform incidence degree and its properties 均匀入射度及其性质
2017 International Conference on Grey Systems and Intelligent Services (GSIS) Pub Date : 2017-08-01 DOI: 10.1109/GSIS.2017.8077678
Yong Wei, Kefang Zeng
{"title":"Uniform incidence degree and its properties","authors":"Yong Wei, Kefang Zeng","doi":"10.1109/GSIS.2017.8077678","DOIUrl":"https://doi.org/10.1109/GSIS.2017.8077678","url":null,"abstract":"The concept of uniform incidence degree is given in the paper. It is proved that the uniform incidence degree and similarity incidence degree are disjoint. The conversion methods between them, how to construct uniform incidence degree by similarity incidence degree, how to construct similarity incidence degree by uniform incidence degree are discussed in the paper.","PeriodicalId":425920,"journal":{"name":"2017 International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"20 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":"114170853","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
Nonlinear time-delay system identification based on multi-dimensional taylor network and IPSO 基于多维泰勒网络和IPSO的非线性时滞系统辨识
2017 International Conference on Grey Systems and Intelligent Services (GSIS) Pub Date : 2017-08-01 DOI: 10.1109/GSIS.2017.8077731
Chenlong Li, Hong-sen Yan
{"title":"Nonlinear time-delay system identification based on multi-dimensional taylor network and IPSO","authors":"Chenlong Li, Hong-sen Yan","doi":"10.1109/GSIS.2017.8077731","DOIUrl":"https://doi.org/10.1109/GSIS.2017.8077731","url":null,"abstract":"A novel identification method is proposed based on the characteristics of nonlinear time-delay systems. To identify nonlinear time-delay systems, Multi-dimensional Taylor network which has the powerful nonlinear approximation capability is utilized firstly, and then the improved particle swarm optimization algorithm is used to optimize weight numbers of Multi-dimensional Taylor network. To verify the effectivity of the proposed method, back propagation method is introduced to compare, the experimental results show that the proposed method identifies nonlinear time-delay systems effectively and is superior to the back propagation method.","PeriodicalId":425920,"journal":{"name":"2017 International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"193 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":"125350783","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: 4
Collaborative development of complex equipment: A network perspective 复杂设备的协同开发:网络视角
2017 International Conference on Grey Systems and Intelligent Services (GSIS) Pub Date : 2017-08-01 DOI: 10.1109/GSIS.2017.8077737
Zhuo Zhang, Min Xu
{"title":"Collaborative development of complex equipment: A network perspective","authors":"Zhuo Zhang, Min Xu","doi":"10.1109/GSIS.2017.8077737","DOIUrl":"https://doi.org/10.1109/GSIS.2017.8077737","url":null,"abstract":"In an open innovation environment, complex equipment is always developed within a collaborative development network. Existing researches on collaborative development are mainly based on methodology of non-weighted static network, and assume that innovative search is independent with knowledge transfer and knowledge creation. This paper, based on scale-free network, establishes a new model to more precisely describe the process and behaviors of collaborative development for complex equipment, which includes innovation search, knowledge transfer and knowledge creation. By using simulation modeling, this paper investigates the dynamic mechanism of knowledge growth in the collaborative network, and probes the impact of innovation search on the performance of the collaborative development network. It is found that different strategies of innovation search have almost the same evolution path in the collaborative development network, and a similar equilibrium will be reached no matter what kind of search strategy is used. There is an inverted U-shape relationship between the tie density and the average knowledge stock (AKS) in the collaborative network, whereas network relation strength is positively correlated with the AKS. It is proved that strategies of innovation search significantly influence the AKS and the level of knowledge innovation in collaborative development environment.","PeriodicalId":425920,"journal":{"name":"2017 International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"55 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":"123473089","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
Opinion influence in online social media environments — U grey system theory and agent-based modeling approach 网络社交媒体环境下的意见影响——灰色系统理论与基于agent的建模方法
2017 International Conference on Grey Systems and Intelligent Services (GSIS) Pub Date : 2017-08-01 DOI: 10.1109/GSIS.2017.8077730
Camelia Delcea, I. Bradea, Liviu-Adrian Cotfas, E. Scarlat
{"title":"Opinion influence in online social media environments — U grey system theory and agent-based modeling approach","authors":"Camelia Delcea, I. Bradea, Liviu-Adrian Cotfas, E. Scarlat","doi":"10.1109/GSIS.2017.8077730","DOIUrl":"https://doi.org/10.1109/GSIS.2017.8077730","url":null,"abstract":"The present paper aims to simulate an online environment in which both agents and consumers meet and exchange information related to certain types of goods (regular soft or durable goods, luxury soft of durable goods) on the purpose of establishing the number of agents a company need to “place” in the online environment in order to influence or change a person's opinion. On this purpose, a series of variables are defined using grey numbers and determined using a questionnaire and face-to-face interviews to sales managers. Based on them, an agent-based model is proposed.","PeriodicalId":425920,"journal":{"name":"2017 International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"112 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":"125248796","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: 5
Rough decision model based on a new grey dominance relation 基于灰色优势关系的粗糙决策模型
2017 International Conference on Grey Systems and Intelligent Services (GSIS) Pub Date : 2017-08-01 DOI: 10.1109/GSIS.2017.8077669
Ming-li Hu, Lei Ding
{"title":"Rough decision model based on a new grey dominance relation","authors":"Ming-li Hu, Lei Ding","doi":"10.1109/GSIS.2017.8077669","DOIUrl":"https://doi.org/10.1109/GSIS.2017.8077669","url":null,"abstract":"In the incomplete information system, no matter which dominance relation is being used to construct a rough set model the results would contain uncertainty. Considering three influence factors include the amount of information, the weight of attribute and the degree of different objects, a new grey dominance relation are defined in this paper. On this basis, a rough decision model is set up. The concept of difference coefficient is defined and optimized in the new model. An example is given to illustrate the efficiency and feasibility of the model.","PeriodicalId":425920,"journal":{"name":"2017 International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"99 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120893487","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
A smart meteorological service model based on big Data: A value creation perspective 基于大数据的智能气象服务模式:价值创造视角
2017 International Conference on Grey Systems and Intelligent Services (GSIS) Pub Date : 2017-08-01 DOI: 10.1109/GSIS.2017.8077722
Lin Ma, Fengying Nie
{"title":"A smart meteorological service model based on big Data: A value creation perspective","authors":"Lin Ma, Fengying Nie","doi":"10.1109/GSIS.2017.8077722","DOIUrl":"https://doi.org/10.1109/GSIS.2017.8077722","url":null,"abstract":"With the rapid development of cloud computing, the Internet of things, big data has become one of the hot spots of society, but also a major focus of applied research, made many service sectors to become data-driven organizations, which exploit the value of big data resources to gain competitive advantage. The meteorological department and the Internet online monitoring collected a large number of meteorological data, deeply develop meteorological data value by using big data analysis method, also by comparing the data and model analysis technology. Within this paper, a literature review, surveys and expert interviews were used in this research paradigm, it analyzed the meteorological observation data management service system, proposed a value-driven smart meteorological service model based on big data. The aim of this paper is to construct a value-driven smart meteorological big data service model that includes resource collaboration, technical collaboration, and service collaboration, optimize the meteorological forecast processes. This promotes meteorological related services products more fine, more accurate and longer forecast timeliness in meteorological disaster prevention and mitigation, public transportation, flood control and drought, agricultural production, transportation and other areas.","PeriodicalId":425920,"journal":{"name":"2017 International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"38 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":"129528644","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: 3
Forecasting NOx emissions in beijing considering the size of car ownership 考虑到汽车保有量，预测北京氮氧化物排放量
2017 International Conference on Grey Systems and Intelligent Services (GSIS) Pub Date : 2017-08-01 DOI: 10.1109/GSIS.2017.8077695
Bin Fu, Lifeng Wu
{"title":"Forecasting NOx emissions in beijing considering the size of car ownership","authors":"Bin Fu, Lifeng Wu","doi":"10.1109/GSIS.2017.8077695","DOIUrl":"https://doi.org/10.1109/GSIS.2017.8077695","url":null,"abstract":"The relationship between NOx emissions and the size of car ownership in Beijing is discussed. To accurately predict NOx emissions, the linear model with the principle of new information priority is proposed and its property is proved. The comparisons with different approaches for predicting NOx emissions indicate that the proposed model exhibits a higher forecasting performance.","PeriodicalId":425920,"journal":{"name":"2017 International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"518 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":"116247774","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
On general standard grey number representation and operations for multi-type uncertain data 多类型不确定数据的一般标准灰数表示及运算
2017 International Conference on Grey Systems and Intelligent Services (GSIS) Pub Date : 2017-08-01 DOI: 10.1109/GSIS.2017.8077663
Zhigeng Fang, Qin Zhang, Jiajia Cai, Qian Hu, Sifeng Liu
{"title":"On general standard grey number representation and operations for multi-type uncertain data","authors":"Zhigeng Fang, Qin Zhang, Jiajia Cai, Qian Hu, Sifeng Liu","doi":"10.1109/GSIS.2017.8077663","DOIUrl":"https://doi.org/10.1109/GSIS.2017.8077663","url":null,"abstract":"Most systems in the real life are complex systems. In the study of complex systems, we tend to get highly uncertain information due to the dynamic and complexity of the cases and our knowledge limitations. Moreover, complex systems are compounded of many parts, and the methods of data collection and storage vary considerably. Hence, the data processed by complex systems are associated with multi-type uncertainty, such as randomness, fuzziness and greyness. To solve the problems of limitations in the conventional representation and operations of uncertain data, this paper proposes a new type of method to represent and operate multi-type uncertain data. Firstly, we fully analyze the features of probability numbers, fuzzy numbers, interval valued fuzzy numbers and grey numbers, and study their relation and commonness so as to propose the concept and representation methods of generalized standard grey numbers. Then, we continue to discuss issues such as the basic operations of generalized standard grey numbers, as well as norm models and value comparison, to suggest a new solution to the representation and operations of uncertain data in complex systems.","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":"130295590","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: 4
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