{"title":"基于GM(0,N)模型的澳门邮轮服务","authors":"Qing Li","doi":"10.1109/GSIS.2015.7301860","DOIUrl":null,"url":null,"abstract":"Prediction of the schedule of cruise ships benefits the managements of cruise ships. In order to prove the feasibility and accuracy of the grey GM (0, N) which is applied to cruise ships service, the number of monthly cruise ships which left Hong Kong for Macau from 2014 to 2105 are forecasted. The precision of the model is tested and analyzed by grey precision grades. Additionally, an interrelationship between cruise ships and external employee is analyzed by grey correlation degree to find out the impact factor of two variables. Its outcome shows that it is a scientific method to apply GM (0, N) to cruise ships because the grey predicted number closely matches the actual observed number and the convenience of cruise ships is one important factor in attracting talent in adjacent cities. This research provides a useful reference for the improvement of cruise ships' service by offering reasonable time arrangement of cruise ships and solving shortage of labor.","PeriodicalId":246110,"journal":{"name":"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Service of macau cruise ships based on GM(0,N) model\",\"authors\":\"Qing Li\",\"doi\":\"10.1109/GSIS.2015.7301860\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Prediction of the schedule of cruise ships benefits the managements of cruise ships. In order to prove the feasibility and accuracy of the grey GM (0, N) which is applied to cruise ships service, the number of monthly cruise ships which left Hong Kong for Macau from 2014 to 2105 are forecasted. The precision of the model is tested and analyzed by grey precision grades. Additionally, an interrelationship between cruise ships and external employee is analyzed by grey correlation degree to find out the impact factor of two variables. Its outcome shows that it is a scientific method to apply GM (0, N) to cruise ships because the grey predicted number closely matches the actual observed number and the convenience of cruise ships is one important factor in attracting talent in adjacent cities. This research provides a useful reference for the improvement of cruise ships' service by offering reasonable time arrangement of cruise ships and solving shortage of labor.\",\"PeriodicalId\":246110,\"journal\":{\"name\":\"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-10-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GSIS.2015.7301860\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GSIS.2015.7301860","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Service of macau cruise ships based on GM(0,N) model
Prediction of the schedule of cruise ships benefits the managements of cruise ships. In order to prove the feasibility and accuracy of the grey GM (0, N) which is applied to cruise ships service, the number of monthly cruise ships which left Hong Kong for Macau from 2014 to 2105 are forecasted. The precision of the model is tested and analyzed by grey precision grades. Additionally, an interrelationship between cruise ships and external employee is analyzed by grey correlation degree to find out the impact factor of two variables. Its outcome shows that it is a scientific method to apply GM (0, N) to cruise ships because the grey predicted number closely matches the actual observed number and the convenience of cruise ships is one important factor in attracting talent in adjacent cities. This research provides a useful reference for the improvement of cruise ships' service by offering reasonable time arrangement of cruise ships and solving shortage of labor.