Journal of Grey System最新文献_第4页

GM (1, 1) Model Based on a Kind of New Weakening Buffer Operators 基于一类新的弱化缓冲算子的GM(1,1)模型

IF 1.6 4区工程技术

Journal of Grey System Pub Date : 2009-09-01 DOI: 10.30016/JGS.200909.0003

Li-zhi Cui, Si-feng Liu

引用次数: 0

Relationships among Service Quality, Customer Satisfaction and Customer Loyalty-The Scenery Restaurant in Central Taiwan 服务品质、顾客满意与顾客忠诚之关系研究——台湾中部风景餐厅

IF 1.6 4区工程技术

Journal of Grey System Pub Date : 2009-09-01 DOI: 10.30016/JGS.200909.0007

C. Kung, Tzung-Ming Yan, Yin-Pei Lin

{"title":"Relationships among Service Quality, Customer Satisfaction and Customer Loyalty-The Scenery Restaurant in Central Taiwan","authors":"C. Kung, Tzung-Ming Yan, Yin-Pei Lin","doi":"10.30016/JGS.200909.0007","DOIUrl":"https://doi.org/10.30016/JGS.200909.0007","url":null,"abstract":"Because of the huge population of out-diners, numerous scenery restaurants are established. With various choices, customers have more options to choose restaurants, which attract them. Meanwhile, scenery restaurants attempt to satisfy customers' needs to exist longer. However, previous studies seldom investigate about the important factors that customer needs in scenery restaurants. In this study, scenery restaurants were been focused to explore the relationship among service quality, customer satisfaction, and customer loyalty. The subjects recruited in this study were customers who have ever been to the scenery restaurant in central Taiwan. Each dimension of service quality and related important items of customer satisfaction and customer loyalty will be analyzed by the grey relational grade (GRG). The result of the study will be expected the weight of each evaluating factor including the marketing mix, the satisfaction of the service quality, the view of scenery, and the degree of what customers emphasize on in one specific scenery restaurant. The implication of the results in this study hopes to provide suitable assistance for the owners of the scenery restaurant to manage their business smoothly and exist permanently.","PeriodicalId":50187,"journal":{"name":"Journal of Grey System","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2009-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70058393","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: 4

A Study of Applying Grey Predictive Module into Sales Revenue Prediction of Convenience Chain Stores an Investigation of 7-ELEVEn and FamilyMart 灰色预测模块在便利连锁店销售收入预测中的应用研究——以7- 11和全家超市为例

IF 1.6 4区工程技术

Journal of Grey System Pub Date : 2009-09-01 DOI: 10.30016/JGS.200909.0006

Mei-Lien Ken, Yuanbo Li

{"title":"A Study of Applying Grey Predictive Module into Sales Revenue Prediction of Convenience Chain Stores an Investigation of 7-ELEVEn and FamilyMart","authors":"Mei-Lien Ken, Yuanbo Li","doi":"10.30016/JGS.200909.0006","DOIUrl":"https://doi.org/10.30016/JGS.200909.0006","url":null,"abstract":"The objective of this study is to build a Grey Method used for the measurement of sales revenue of 7-ELEVEn and FamilyMart. Meanwhile, this study aims to process Grey Method Analysis on sales revenue in the period from 2009 to 2013 and progressively provide enterprises or investors with references for the development of convenience chain stores. Subjects applied in this study consist of the sales revenues of 7-ELEVEn and FamilyMart. This research is designed to examine the comparison analysis on these two convenience chain stores by means of such data-analysis methods as GM (1,1), RGM(superscript +) (1,1) , RGM(superscript −) (1, 1), Nonlinear Bernoulli Module, GM (1, 1) revised by Tan, and Multiple Regression Analysis. With the assistance of data analysis, this study has made it positive to prove that the pre-test results under different module applications are perceived as remained. Accordingly, under the application of top-five modules, the pre-test outcome indicates that the growth rate of 7-ELEVEn in next five years is more than 1.04% and less than 4.82%. Meanwhile, that of FamilyMart in next five years is more than 6.63% and less than 8.01%. With the understanding of growth rate estimation, enterprises could take the outcome released in this study into consideration associated with consumer market and business administration.","PeriodicalId":50187,"journal":{"name":"Journal of Grey System","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2009-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70058352","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

Forecasting Evaluation of Public Listed Companies Revenue in Taiwan Tourism Industry-Comparison between Grey Forecasting Regression Analysis and Exponential Smoothing 台湾观光业上市公司营收预测评价:灰色预测回归分析与指数平滑之比较

IF 1.6 4区工程技术

Journal of Grey System Pub Date : 2009-06-01 DOI: 10.30016/JGS.200906.0001

Li-Chu Hung

{"title":"Forecasting Evaluation of Public Listed Companies Revenue in Taiwan Tourism Industry-Comparison between Grey Forecasting Regression Analysis and Exponential Smoothing","authors":"Li-Chu Hung","doi":"10.30016/JGS.200906.0001","DOIUrl":"https://doi.org/10.30016/JGS.200906.0001","url":null,"abstract":"Various governments regard tourism market as item to boost their economies. As a result, new administration in Taiwan tries every effort to attract Chinese from PRC to Taiwan. The officials shouts slogans to boost tourism, formulate some policies and travel agencies promote various preferential traveling schedules with aim of bringing tourists into Taiwan. This article mainly analyzes total revenue of public listed companies in Taiwan tourism industry from January 2004 to December 2007 to establish the revenue forecasting model of public listed companies in Taiwan tourism industry by Grey Theory (calculation month after month and calculation not month after month), simple linear regression analysis and single exponential smoothing. Additionally this article uses Mean Absolute Percentage Error (MAPE) to select the minimum index as the best forecasting model. Then this article conducts revenue forecast from January to December 2008. Result indicates that method proposed by this article can not only provide counter strategies for tourism industry to face future challenge and serve as reference to government or related departments, but also can provide as a reference to relevant research in this field.","PeriodicalId":50187,"journal":{"name":"Journal of Grey System","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2009-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70057522","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

Study on Novel Property of Some Grey Relational Analysis Models 一些灰色关联分析模型的新特性研究

IF 1.6 4区工程技术

Journal of Grey System Pub Date : 2009-06-01 DOI: 10.30016/JGS.200906.0004

J. Cui, Yao-guo Dang, Sifeng Liu

引用次数: 5

Implementation of GPRS Long-Distance Monitoring Platform Based on Grey Prediction Model 基于灰色预测模型的GPRS远程监控平台的实现

IF 1.6 4区工程技术

Journal of Grey System Pub Date : 2009-06-01 DOI: 10.30016/JGS.200906.0006

Chang-Jo Wu, Kuei-Jen Lee, Fu-Yuan Hsu

引用次数: 0

The Optimization of GM (1, N) Model and New Method of Forecasting GM (1, N)模型的优化及预测新方法

IF 1.6 4区工程技术

Journal of Grey System Pub Date : 2009-06-01 DOI: 10.30016/JGS.200906.0005

Yi Shao, Yong Wei

引用次数: 0

A New Approach of Grey Decision-Making 灰色决策的新方法

IF 1.6 4区工程技术

Journal of Grey System Pub Date : 2009-06-01 DOI: 10.30016/JGS.200906.0003

W. Hsieh, Kun-Li Wen

引用次数: 0

Application of GM (0, N) in Satisfaction Rating on Learning and Instruction of Phonics Course a Case Study of D Community University GM (0, N)在自然拼读课教学满意度评价中的应用——以D社区大学为例

IF 1.6 4区工程技术

Journal of Grey System Pub Date : 2009-03-01 DOI: 10.30016/JGS.200903.0005

Hui-Yi Liang

{"title":"Application of GM (0, N) in Satisfaction Rating on Learning and Instruction of Phonics Course a Case Study of D Community University","authors":"Hui-Yi Liang","doi":"10.30016/JGS.200903.0005","DOIUrl":"https://doi.org/10.30016/JGS.200903.0005","url":null,"abstract":"The purpose of this study was to make use of quantitative methods to study the satisfaction rating on content learning and teachers' instruction of phonics program delivered by the D Community University. The program lasted for 12 weeks (3 hours per week). A questionnaire, Phonics Evaluation Questionnaire, was developed to assist in the study. This was distributed to the students, 25 in all, of whom 96% responded. The research method applied was the GM (0, N) model of Grey Theory to analyze the assembled data and rate the factors which contributed to the students' satisfaction with the course content and teachers' instruction. The research results showed that the rich course content reaches the highest satisfaction; all instructions and explanations given were very clear and concise; the sound effect of supplemental multi-media materials supplied were of excellent quality; after the completion of the phonics course, the students had no fear encountering English which consists with the traditional concept. Based on the research results, some suggestions were made to the Board of the D Community University, course teachers and phonics learners on program improvements in continuous research and reference.","PeriodicalId":50187,"journal":{"name":"Journal of Grey System","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2009-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70057166","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 Application of Grey Relational Grade in Spinal Lesions Imaging Study 灰色关联度在脊柱病变影像学研究中的应用

IF 1.6 4区工程技术

Journal of Grey System Pub Date : 2009-03-01 DOI: 10.30016/JGS.200903.0003

Mao-Lin Chen, Hung-Ting Tu

{"title":"The Application of Grey Relational Grade in Spinal Lesions Imaging Study","authors":"Mao-Lin Chen, Hung-Ting Tu","doi":"10.30016/JGS.200903.0003","DOIUrl":"https://doi.org/10.30016/JGS.200903.0003","url":null,"abstract":"Most Along with medical science progress, more complex medical imaging of physical illness can be operated and processed immediately into image. However, physical illness or whether there's any growth of bone lesions and the disease can only be found when the patients feel pain and go to the hospital for examination and scanning. Therefore, the purpose of this study was to combine AR Model and grey relational grade to analyze image of the thoracic cavity and spinal bone. It compares the spinal bone's spur lesions development and offers a more precise reference for doctors and patients’ family members. First of all, this paper removes the noise to highlight the clarity of spinal bones image. Further, it makes grey relational grade of AR-Model toward the spinal bones image classification model. Then, it compares and determines the spinal bone spur lesion with the model and acts as an inference and prevention toward spinal bone spur disease. So, this paper proposes to do AR-Model spectrum analysis toward medical images and makes each row's image into 256 gray level predictions by means of grey relational grade. According to this, spinal bone prediction model can make a comparison and identify the spinal bone image more effectively. After being simulated and verified, the design of this paper can actually provide a clearer spinal bone form and offer an effective image comparison warning.","PeriodicalId":50187,"journal":{"name":"Journal of Grey System","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2009-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70057359","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