Journal of Grey System最新文献

Selection of Discrete GM Model Initial Value by Designing Calculation Program 设计计算程序选择离散GM模型初值

IF 1.6 4区工程技术

Journal of Grey System Pub Date : 2012-09-01 DOI: 10.30016/JGS.201209.0003

Tiejun Dai, Xiaotong Huang

引用次数: 2

A Study of Using Analytical Hierarchy Process and Grey Relational Grade in Wine Evaluation 层次分析法和灰色关联度在葡萄酒评价中的应用研究

IF 1.6 4区工程技术

Journal of Grey System Pub Date : 2012-09-01 DOI: 10.30016/JGS.201209.0001

Chih-Jiun Lin, Chien-Yan Hsieh

引用次数: 1

The Prices Prediction of Taiwan Stock via GM(1,1) Method 基于GM(1,1)方法的台湾股票价格预测

IF 1.6 4区工程技术

Journal of Grey System Pub Date : 2012-06-01 DOI: 10.30016/JGS.201206.0005

Yu-Lung Tsai, Huang Li, Kun-Yan Lee

{"title":"The Prices Prediction of Taiwan Stock via GM(1,1) Method","authors":"Yu-Lung Tsai, Huang Li, Kun-Yan Lee","doi":"10.30016/JGS.201206.0005","DOIUrl":"https://doi.org/10.30016/JGS.201206.0005","url":null,"abstract":"Stock investment has become the tool for the majority of people who want to accumulate wealth through investment banking. However, due to it is difficult to master the ups and downs of the stock prices, investors often end in loss. How to use an effective and reasonable investment approach to protect capital safety and sell or temporarily stop buying when the stock market declines has become more important. Stock investors dream of maintaining or buying the stocks when the stock market goes up, and earn more money than lose money in the stock market. Prof. Deng purposed the grey system theory, which constructs correlation analysis and system modeling to the uncertainty of the system model and information integrity. Also, the methods of forecasting and decision-making are used to explore and understand the system. Originally, it was used in the field of automatic control, but this paper applies the grey system theory, to stock price forecasting. By using the closing prices of the first five weeks, we can forecast six week's closing price. Several stocks in 2011 are used as simulation predictions, and we found that the average errors are between 2% to 7%. Hence, by using the grey system theory, the new stock price prediction model can be established for investors.","PeriodicalId":50187,"journal":{"name":"Journal of Grey System","volume":"31 1","pages":"95-102"},"PeriodicalIF":1.6,"publicationDate":"2012-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70060931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Clustering the English Reading Performances by Using GSP And GSM 用GSP和GSM对英语阅读成绩进行聚类

IF 1.6 4区工程技术

Journal of Grey System Pub Date : 2012-06-01 DOI: 10.30016/JGS.201206.0004

Bor-tyng Wang, T. Sheu, Jung-Chin Liang, J. Tzeng, M. Nagai

{"title":"Clustering the English Reading Performances by Using GSP And GSM","authors":"Bor-tyng Wang, T. Sheu, Jung-Chin Liang, J. Tzeng, M. Nagai","doi":"10.30016/JGS.201206.0004","DOIUrl":"https://doi.org/10.30016/JGS.201206.0004","url":null,"abstract":"The purpose of this paper is to apply an integrated approach to cluster the English reading performances among college students because finding the optimal teaching strategy for an individual student is difficult. The unified English reading exam with forty questions was used to clarify the different performances between day-time and extension classes which have thirty-eight students and thirty-seven students, respectively. The Grey Student-Problem(GSP) chart, which includes the equation of Rasch model, was then generated. Then the method of Grey Structural Modeling (GSM ) was used to cluster the students into appropriate groups. According to the GSP chart and GSM, students' reading performances are clustered into classes based on their levels. Finally, we used Interpretive Structural Model (ISM) to display the concept structure of each group. The results indicate that the teachers could provide adaptive teaching methods and remedial instructions based on the graphic models. Also, parents could understand their children's learning conditions better by reading the clear graphs. We suggested that the GSP chart can not only be applied to the educational field, but also be used in real-life applications, like medical data analysis, engineering, or decision-making fields.","PeriodicalId":50187,"journal":{"name":"Journal of Grey System","volume":"22 1","pages":"87-93"},"PeriodicalIF":1.6,"publicationDate":"2012-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70060832","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Apply Differences Grey Prediction Methods in the Selling of LOHAS 差异灰色预测方法在乐活屋销售中的应用

IF 1.6 4区工程技术

Journal of Grey System Pub Date : 2012-06-01 DOI: 10.30016/JGS.201206.0007

Mei-Lien Kan, Kuei-Feng Lee, Yuan-Bing Lee

{"title":"Apply Differences Grey Prediction Methods in the Selling of LOHAS","authors":"Mei-Lien Kan, Kuei-Feng Lee, Yuan-Bing Lee","doi":"10.30016/JGS.201206.0007","DOIUrl":"https://doi.org/10.30016/JGS.201206.0007","url":null,"abstract":"The paper brings together the average daily sales of a Farmers' Association supermarket from May, 2010 to December, 2010. First, we examine whether the data meet the conditions of modeling, and we determine the average amount of daily sales data are in line with the GM (1,1) modeling of the capacity district. Also, it meets the conditions of the modeling prediction accuracy higher than 90%. Due to the traditional grey prediction GM (1,1) model only needs 4 data, but residual modification grey prediction GM (1,1) mode needs at least five data. Hence, the GM (1,1) model uses the raw data from May, 2010 to November, 2010 to predict values in December, 2010 to do error analysis. Also, we apply the GM (1,1) rolling test, and use the data of 5 groups, 6 groups and 7 groups to calculate six kinds of GM (1,1) prediction model, and we find the raw data with minimum error as the grey prediction GM (1,1) model. After determining the optimal grey prediction period, we apply six grey prediction methods and the optimal grey prediction period to predict the values of December, 2010 to do error analysis. We also use average error value as a criteria to select the best prediction model, and by using the top four of the best prediction model, we are able to predict next three months' growth trend.","PeriodicalId":50187,"journal":{"name":"Journal of Grey System","volume":"15 1","pages":"111-117"},"PeriodicalIF":1.6,"publicationDate":"2012-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70060979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Grey Analysis on Key Product Attributes of Home Video Game Based on Purchase Intention 基于购买意愿的家庭电子游戏关键产品属性灰色分析

IF 1.6 4区工程技术

Journal of Grey System Pub Date : 2011-12-01 DOI: 10.30016/JGS.201112.0001

Chih-Sung Lai, Hsing-Hui Chu

引用次数: 2

Applying Grey Model for International Fashion Color Trend Forecasting 灰色模型在国际流行色彩趋势预测中的应用

IF 1.6 4区工程技术

Journal of Grey System Pub Date : 2011-12-01 DOI: 10.30016/JGS.201112.0005

Li-Xia Chang, Wei-Dong Gao, Ming-wang Shi, R. Pan

引用次数: 1

Apply GM(0,N) in Determinants Research by Supercritical Carbondioxide Fluid Extracts for Antioxidative Composition of "Hibiscus Sabdariffa" Linnaeu GM(0,N)在“芙蓉”抗氧化成分超临界co2流体萃取决定因素研究中的应用

IF 1.6 4区工程技术

Journal of Grey System Pub Date : 2011-12-01 DOI: 10.30016/JGS.201112.0006

Erl-Shyh Kao

{"title":"Apply GM(0,N) in Determinants Research by Supercritical Carbondioxide Fluid Extracts for Antioxidative Composition of \"Hibiscus Sabdariffa\" Linnaeu","authors":"Erl-Shyh Kao","doi":"10.30016/JGS.201112.0006","DOIUrl":"https://doi.org/10.30016/JGS.201112.0006","url":null,"abstract":"Low temperature and high diffusion capabilities are characteristics of Supercritical Carbon Dioxide Extraction Technology; it is able to extract the thermally unstable substance from natural products while retaining the active components. Therefore, this study uses Supercritical Carbon Dioxide Fluid Extraction Technology to extract Roselle polyphenols Caffeic Acid. Roselle contains polyphenols which has a lot of bioactivity, in which the active ingredient caffeic acid possesses antioxidant, capture of free radicals and inhibition of tyrosinase functions. Different proportions of water and ethanol as a cosolvent added to the carbon dioxide supercritical fluid for modification; changing flow rates of critical pressures, critical temperatures and supercritical fluids to arrive at the related assessment factors and using the grey GM (0,N) model from the grey theory to analyze the importance of each impact factor. The results show that in antioxidant activity, ability to catch free radicals and inhibition of tyrosinase; the extraction temperature is proven to be the most important impact factor. Compared with using traditional statistical analysis, the grey theory analysis method is able to give more magnitude and association relationships from less information.","PeriodicalId":50187,"journal":{"name":"Journal of Grey System","volume":"14 1","pages":"165-172"},"PeriodicalIF":1.6,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70060767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Fractional Order Grey Prediction Algorithm 分数阶灰色预测算法

IF 1.6 4区工程技术

Journal of Grey System Pub Date : 2011-12-01 DOI: 10.30016/JGS.201112.0002

Yuran Liu, Yunchuan Hu, Mingliang Hou

引用次数: 5

Applying Grey Relational Analysis to Construct the Training Quality System in Enterprise 应用灰色关联分析构建企业培训质量体系

IF 1.6 4区工程技术

Journal of Grey System Pub Date : 2011-09-01 DOI: 10.30016/JGS.201109.0004

Yung-Hui Lee

{"title":"Applying Grey Relational Analysis to Construct the Training Quality System in Enterprise","authors":"Yung-Hui Lee","doi":"10.30016/JGS.201109.0004","DOIUrl":"https://doi.org/10.30016/JGS.201109.0004","url":null,"abstract":"In the face of the global market competition environment, the business sector is well aware that ”The key to business organizational development lies in the use of human resources”, thus turning effective and systematic ”educational training” into one of the important management policies for organizational change. In addition to training personnel, enterprises also need good assessment tools. Therefore, with the Taiwan Training Quality System (TTQS) researched and developed in Taiwan, and case company A and B as benchmarks of the actual technology industry, the TTQS was employed. The exploration through the gray correlation analysis method shall serve as a reference for enterprises in their future importation of the TTQS, thereby enabling them to engage in self-assessment based on the resources accessible to them and enhance the overall human resources. The first stage of this study is the data collection stage: the critical assessment factors of the TTQS imported by enterprises were explored through literature review and data collection, which were compiled in the questionnaire. The second stage is the empirical analysis stage: targeting the business management levels of case company A and B and the TTQS related personnel, the questionnaire was implemented. Then, the questionnaire results collected were explored through the grey relational analysis method to obtain the weighting values of the assessment indicators. The results show that the crucial success factors of the TTQS importation obtained varied significantly depending on the different industrial features and sizes. Targeting the two case companies, the importation related suggestions were proposed to enable the enterprises to engage in self-assessment before investing in human resources. In addition, the solution strategies provided in this study served as the reference for enhancing the overall human resource were enhanced.","PeriodicalId":50187,"journal":{"name":"Journal of Grey System","volume":"14 1","pages":"107-115"},"PeriodicalIF":1.6,"publicationDate":"2011-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70060490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1