Pub Date : 2009-09-01DOI: 10.30016/JGS.200909.0003
Li-zhi Cui, Si-feng Liu
Under the axiomatic system of buffer operator in grey system theory, this paper puts forward some new weakening buffer operators, which have the universality and practicability. Meanwhile, the characters and the inherent relation among them are studied. The problem that there are some contradictions between quantitative analysis and qualitative analysis in pretreatment for vibration data sequences is resolved effectively. An example shows their validity and practicability.
{"title":"GM (1, 1) Model Based on a Kind of New Weakening Buffer Operators","authors":"Li-zhi Cui, Si-feng Liu","doi":"10.30016/JGS.200909.0003","DOIUrl":"https://doi.org/10.30016/JGS.200909.0003","url":null,"abstract":"Under the axiomatic system of buffer operator in grey system theory, this paper puts forward some new weakening buffer operators, which have the universality and practicability. Meanwhile, the characters and the inherent relation among them are studied. The problem that there are some contradictions between quantitative analysis and qualitative analysis in pretreatment for vibration data sequences is resolved effectively. An example shows their validity and practicability.","PeriodicalId":50187,"journal":{"name":"Journal of Grey System","volume":"12 1","pages":"117-122"},"PeriodicalIF":1.6,"publicationDate":"2009-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70058020","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}
Pub Date : 2009-09-01DOI: 10.30016/JGS.200909.0007
C. Kung, Tzung-Ming Yan, Yin-Pei Lin
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.
{"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":"12 1","pages":"147-151"},"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}
Pub Date : 2009-09-01DOI: 10.30016/JGS.200909.0006
Mei-Lien Ken, Yuanbo Li
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.
{"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":"12 1","pages":"139-146"},"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}
Pub Date : 2009-06-01DOI: 10.30016/JGS.200906.0001
Li-Chu Hung
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.
{"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":"12 1","pages":"59-68"},"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}
Pub Date : 2009-06-01DOI: 10.30016/JGS.200906.0004
J. Cui, Yao-guo Dang, Sifeng Liu
The purpose of this paper is to further study the properties of algorithms for grey relational analysis. Based on analyzing of some existing algorithms for grey relational analysis and their properties, this paper firstly creates the novel definitions of affine transformation isotonicity of grey relational models. Secondly, we investigated this novel property of some models for grey relational analysis. Finally, the study result shows that the algorithms for general relational analysis, grey pointed relational analysis, grey T-mode relational analysis and grey rate relational analysis is satisfying the novel property. This result may enrich the theoretical system of grey relational analysis.
{"title":"Study on Novel Property of Some Grey Relational Analysis Models","authors":"J. Cui, Yao-guo Dang, Sifeng Liu","doi":"10.30016/JGS.200906.0004","DOIUrl":"https://doi.org/10.30016/JGS.200906.0004","url":null,"abstract":"The purpose of this paper is to further study the properties of algorithms for grey relational analysis. Based on analyzing of some existing algorithms for grey relational analysis and their properties, this paper firstly creates the novel definitions of affine transformation isotonicity of grey relational models. Secondly, we investigated this novel property of some models for grey relational analysis. Finally, the study result shows that the algorithms for general relational analysis, grey pointed relational analysis, grey T-mode relational analysis and grey rate relational analysis is satisfying the novel property. This result may enrich the theoretical system of grey relational analysis.","PeriodicalId":50187,"journal":{"name":"Journal of Grey System","volume":"12 1","pages":"83-88"},"PeriodicalIF":1.6,"publicationDate":"2009-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70057573","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}
Pub Date : 2009-06-01DOI: 10.30016/JGS.200906.0006
Chang-Jo Wu, Kuei-Jen Lee, Fu-Yuan Hsu
This research is to construct a whole predictable wireless monitoring system with GPRS. This system is composed of two parts, one is subsystem based on single CMOS chip, collect data from the Thermal Couple Sensor (TCS). Based on Deng's grey model (GM) theory, transplant GM (1, 1) prediction algorithm inside the single-chip. Temperature of the next slice can be predicted precisely. The other is controlling system, which is the kernel element of GM predication (GMP) system. Monitoring function collects the long-distance data and control the subsystem through GPRS network. The realized system cannot only monitor real-time data, but also can send key part through GRPS channels when emergence happens. The exception can be exposed as soon as it appears, so it is easy to be repaired within a very short time.
{"title":"Implementation of GPRS Long-Distance Monitoring Platform Based on Grey Prediction Model","authors":"Chang-Jo Wu, Kuei-Jen Lee, Fu-Yuan Hsu","doi":"10.30016/JGS.200906.0006","DOIUrl":"https://doi.org/10.30016/JGS.200906.0006","url":null,"abstract":"This research is to construct a whole predictable wireless monitoring system with GPRS. This system is composed of two parts, one is subsystem based on single CMOS chip, collect data from the Thermal Couple Sensor (TCS). Based on Deng's grey model (GM) theory, transplant GM (1, 1) prediction algorithm inside the single-chip. Temperature of the next slice can be predicted precisely. The other is controlling system, which is the kernel element of GM predication (GMP) system. Monitoring function collects the long-distance data and control the subsystem through GPRS network. The realized system cannot only monitor real-time data, but also can send key part through GRPS channels when emergence happens. The exception can be exposed as soon as it appears, so it is easy to be repaired within a very short time.","PeriodicalId":50187,"journal":{"name":"Journal of Grey System","volume":"34 1","pages":"95-99"},"PeriodicalIF":1.6,"publicationDate":"2009-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70057801","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}
Pub Date : 2009-06-01DOI: 10.30016/JGS.200906.0005
Yi Shao, Yong Wei
On one hand, reconstruct a new GM (1, N) model equation by using a kind of optimized background value, and we discover that the new GM (1, N) model has higher simulated value and precision obviously, especially the series of data change sharply. On the other hand, deduce a forecasting formula that can suit the situation which the drive coefficient matrix of GM (1, N) model equation group is reversible, overcome the defect of nested model which require the drive coefficient matrix of GM (1, N) model equation group should be triangular array. Using the new forecasting formula, we can discover the new GM (1, N) model has higher prognostic precision.
{"title":"The Optimization of GM (1, N) Model and New Method of Forecasting","authors":"Yi Shao, Yong Wei","doi":"10.30016/JGS.200906.0005","DOIUrl":"https://doi.org/10.30016/JGS.200906.0005","url":null,"abstract":"On one hand, reconstruct a new GM (1, N) model equation by using a kind of optimized background value, and we discover that the new GM (1, N) model has higher simulated value and precision obviously, especially the series of data change sharply. On the other hand, deduce a forecasting formula that can suit the situation which the drive coefficient matrix of GM (1, N) model equation group is reversible, overcome the defect of nested model which require the drive coefficient matrix of GM (1, N) model equation group should be triangular array. Using the new forecasting formula, we can discover the new GM (1, N) model has higher prognostic precision.","PeriodicalId":50187,"journal":{"name":"Journal of Grey System","volume":"12 1","pages":"89-94"},"PeriodicalIF":1.6,"publicationDate":"2009-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70057686","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}
Pub Date : 2009-06-01DOI: 10.30016/JGS.200906.0003
W. Hsieh, Kun-Li Wen
The so-called grey decision-making is a mathematical method that can solve the grey numbers in the system. The community is full of uncertainty that needs to be resolved. Although there are a lot of decision-making methods being used, the purpose of this paper is to provide a new decision-making mode to eliminate the uncertainty, so that the decision-making can be more complete. The main point is to integrate the grey generating and globalization grey relational grade in the grey system theory in order to suggest a new analysis from the traditional grey decision making analysis and provide a supplement. This paper also makes use of the case of 'purchasing a house' and the proposed mathematical mode to do the grey relational grade method analysis in order to get the best decision making result.
{"title":"A New Approach of Grey Decision-Making","authors":"W. Hsieh, Kun-Li Wen","doi":"10.30016/JGS.200906.0003","DOIUrl":"https://doi.org/10.30016/JGS.200906.0003","url":null,"abstract":"The so-called grey decision-making is a mathematical method that can solve the grey numbers in the system. The community is full of uncertainty that needs to be resolved. Although there are a lot of decision-making methods being used, the purpose of this paper is to provide a new decision-making mode to eliminate the uncertainty, so that the decision-making can be more complete. The main point is to integrate the grey generating and globalization grey relational grade in the grey system theory in order to suggest a new analysis from the traditional grey decision making analysis and provide a supplement. This paper also makes use of the case of 'purchasing a house' and the proposed mathematical mode to do the grey relational grade method analysis in order to get the best decision making result.","PeriodicalId":50187,"journal":{"name":"Journal of Grey System","volume":"12 1","pages":"77-82"},"PeriodicalIF":1.6,"publicationDate":"2009-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70057563","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}
Pub Date : 2009-03-01DOI: 10.30016/JGS.200903.0005
Hui-Yi Liang
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.
{"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":"12 1","pages":"33-39"},"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}
Pub Date : 2009-03-01DOI: 10.30016/JGS.200903.0003
Mao-Lin Chen, Hung-Ting Tu
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.
{"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":"12 1","pages":"15-21"},"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}
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