{"title":"灰色模型在国际流行色彩趋势预测中的应用","authors":"Li-Xia Chang, Wei-Dong Gao, Ming-wang Shi, R. Pan","doi":"10.30016/JGS.201112.0005","DOIUrl":null,"url":null,"abstract":"This paper made a study on fashion color forecasting by applying GM (1,1) model. It took successive five years fashion colors' suggestion ratio as the time series. Results shows that the GM(1,1) model would provide promising predicting effect with minimum accuracy ratio of 56.46% and maximum accuracy of 88.68%. Besides the 1AGO data processing, we also apply 2AGO data processing to discuss the forecasting accuracy of this model. Results show that the forecasting with 2AGO data processing can predict the future color trend with maximum accuracy ratio of 92.27% and the minimum ratio 79.62%, P value 1.0000. It can be taken as the promising one prediction model for future color trends forecasting.","PeriodicalId":50187,"journal":{"name":"Journal of Grey System","volume":"14 1","pages":"159-163"},"PeriodicalIF":1.0000,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Applying Grey Model for International Fashion Color Trend Forecasting\",\"authors\":\"Li-Xia Chang, Wei-Dong Gao, Ming-wang Shi, R. Pan\",\"doi\":\"10.30016/JGS.201112.0005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper made a study on fashion color forecasting by applying GM (1,1) model. It took successive five years fashion colors' suggestion ratio as the time series. Results shows that the GM(1,1) model would provide promising predicting effect with minimum accuracy ratio of 56.46% and maximum accuracy of 88.68%. Besides the 1AGO data processing, we also apply 2AGO data processing to discuss the forecasting accuracy of this model. Results show that the forecasting with 2AGO data processing can predict the future color trend with maximum accuracy ratio of 92.27% and the minimum ratio 79.62%, P value 1.0000. It can be taken as the promising one prediction model for future color trends forecasting.\",\"PeriodicalId\":50187,\"journal\":{\"name\":\"Journal of Grey System\",\"volume\":\"14 1\",\"pages\":\"159-163\"},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2011-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Grey System\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.30016/JGS.201112.0005\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Grey System","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.30016/JGS.201112.0005","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
Applying Grey Model for International Fashion Color Trend Forecasting
This paper made a study on fashion color forecasting by applying GM (1,1) model. It took successive five years fashion colors' suggestion ratio as the time series. Results shows that the GM(1,1) model would provide promising predicting effect with minimum accuracy ratio of 56.46% and maximum accuracy of 88.68%. Besides the 1AGO data processing, we also apply 2AGO data processing to discuss the forecasting accuracy of this model. Results show that the forecasting with 2AGO data processing can predict the future color trend with maximum accuracy ratio of 92.27% and the minimum ratio 79.62%, P value 1.0000. It can be taken as the promising one prediction model for future color trends forecasting.
期刊介绍:
The journal is a forum of the highest professional quality for both scientists and practitioners to exchange ideas and publish new discoveries on a vast array of topics and issues in grey system. It aims to bring forth anything from either innovative to known theories or practical applications in grey system. It provides everyone opportunities to present, criticize, and discuss their findings and ideas with others. A number of areas of particular interest (but not limited) are listed as follows:
Grey mathematics-
Generator of Grey Sequences-
Grey Incidence Analysis Models-
Grey Clustering Evaluation Models-
Grey Prediction Models-
Grey Decision Making Models-
Grey Programming Models-
Grey Input and Output Models-
Grey Control-
Grey Game-
Practical Applications.