Journal of Grey System最新文献

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Comparing Possibility Grey Forecasting with Neural network-based Fuzzy Regression by an Empirical Study 可能性灰色预测与神经网络模糊回归的比较实证研究
IF 1.6 4区 工程技术
Journal of Grey System Pub Date : 2005-12-01 DOI: 10.30016/JGS.200512.0001
Hsiao-Chi Chen, Yi-Chung Hu, J. Z. Shyu, G. Tzeng
{"title":"Comparing Possibility Grey Forecasting with Neural network-based Fuzzy Regression by an Empirical Study","authors":"Hsiao-Chi Chen, Yi-Chung Hu, J. Z. Shyu, G. Tzeng","doi":"10.30016/JGS.200512.0001","DOIUrl":"https://doi.org/10.30016/JGS.200512.0001","url":null,"abstract":"Causality and time series model are the most effective methods used in forecasting practices. Time series models, such as ARIMA, are used by most researchers in stock price prediction. However, in the financial environment, the information on the stock market is vague. To solve this problem, this work presents two forecasting models to help investors make decisions in stock market: one is a new model named possibility grey forecasting model, and the other is the neural network-based fuzzy regression. Moreover, the differences between them and the scenarios for implementing them are also analyzed in this paper to help investors to plan their own investment strategies under various conditions. In the empirical study, we demonstrate that the proposed method and the neural network-based fuzzy regression can be used to effectively find the stock index in Taiwan.","PeriodicalId":50187,"journal":{"name":"Journal of Grey System","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2005-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70055189","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: 2
The Analysis of Population in Taiwan Based on Grey Verhulst Method 基于灰色Verhulst方法的台湾人口分析
IF 1.6 4区 工程技术
Journal of Grey System Pub Date : 2005-07-01 DOI: 10.30016/JGS.200507.0003
Kun-Li Wen, Yi-Fung Huang
{"title":"The Analysis of Population in Taiwan Based on Grey Verhulst Method","authors":"Kun-Li Wen, Yi-Fung Huang","doi":"10.30016/JGS.200507.0003","DOIUrl":"https://doi.org/10.30016/JGS.200507.0003","url":null,"abstract":"The principle of population prediction is one of the most important policies for developing countries, and population numbers are a basis for the formula used by the government with very limited resources. If the population increases significantly, or growth is reversed, then the entire balance of the ecology will be seriously impacted. Therefore, at first, the article focuses on the use of the Grey Verhulst method trying to construct saturation numbers for the population. In this paper, a toolbox is also developed to provide a very convenient way of generating a great numerical analysis of a real case. Finally, an example is given to predict saturation numbers of the population numbers in Taiwan, and the results tell us it will not exceed 23 million. Based on the above methods, the full results not only provide the saturation numbers, but also can become the reference-making policy for the best layout of the population source.","PeriodicalId":50187,"journal":{"name":"Journal of Grey System","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2005-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70054640","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: 5
Using GM(1, 1) Meshsmooth Model to Construct Secure Network Communication System 利用GM(1,1)网格平滑模型构建安全网络通信系统
IF 1.6 4区 工程技术
Journal of Grey System Pub Date : 2004-12-01 DOI: 10.30016/JGS.200412.0002
Yi-Fung Huang, Kun-Li Wen
{"title":"Using GM(1, 1) Meshsmooth Model to Construct Secure Network Communication System","authors":"Yi-Fung Huang, Kun-Li Wen","doi":"10.30016/JGS.200412.0002","DOIUrl":"https://doi.org/10.30016/JGS.200412.0002","url":null,"abstract":"In this paper, we combined the public key cryptograph system proposed by Diffie and Hellman, with the infinite generation keys based on GM(1, 1) model , which in grey system theory, to establish the GM(1, 1) meshsmooth model to construct secure network communication system. The whole mathematics concept is used finite original code to create an infinite variables code sequence, and got the code from the known secrete key. In this paper, we define two parameters: cryptography sequence ψ and 3(superscript rd) order symmetric group S3 and presented six cryptography models to contribute our system. According to the implement of real case, the secrete value is high to O(The equation is abbreviated) for public system, and it is hard to calculate the code sequence by the present computing ability. Therefore, to break into this system by mathematical formula is no way nowadays. Besides, to promote the efficiency, we also develop a toolbox, it can not only to decrease the calculation time, but also examine the reliability of our system.","PeriodicalId":50187,"journal":{"name":"Journal of Grey System","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2004-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70054932","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
The Grey target concept in optimization techniques and its application to estimation of structural parameters in a weather model 优化技术中的灰色目标概念及其在天气模型结构参数估计中的应用
IF 1.6 4区 工程技术
Journal of Grey System Pub Date : 1989-11-01 DOI: 10.5555/90757.90764
Z. R. Shen, T. P. Mack
{"title":"The Grey target concept in optimization techniques and its application to estimation of structural parameters in a weather model","authors":"Z. R. Shen, T. P. Mack","doi":"10.5555/90757.90764","DOIUrl":"https://doi.org/10.5555/90757.90764","url":null,"abstract":"","PeriodicalId":50187,"journal":{"name":"Journal of Grey System","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"1989-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71143532","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: 3
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