{"title":"用灰色模糊语言方法求解名义最优决策问题","authors":"Kuo-Yan Wang, Jing Yu","doi":"10.12783/DTMSE/AMEME2020/35563","DOIUrl":null,"url":null,"abstract":"This article combines two well-developed notions: the grey relations method (GRM) and fuzzy linguistic scoring technique, for solving the problem of qualitative and quantitative criterions coexistence due to the original GRM being unable to effectively handle the simple qualitativeorientated solution. Further, an empirical process adopting GRM with the fuzzy technique has successfully proved the ratings of every alternative with two types of objectives can be an optimal approach. This conclusion can be utilized to help solve other related computing issues.","PeriodicalId":11124,"journal":{"name":"DEStech Transactions on Materials Science and Engineering","volume":"9 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Solving the Nominal-the-Best Decision-Making Problem by Grey-Fuzzy Linguistic Method\",\"authors\":\"Kuo-Yan Wang, Jing Yu\",\"doi\":\"10.12783/DTMSE/AMEME2020/35563\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article combines two well-developed notions: the grey relations method (GRM) and fuzzy linguistic scoring technique, for solving the problem of qualitative and quantitative criterions coexistence due to the original GRM being unable to effectively handle the simple qualitativeorientated solution. Further, an empirical process adopting GRM with the fuzzy technique has successfully proved the ratings of every alternative with two types of objectives can be an optimal approach. This conclusion can be utilized to help solve other related computing issues.\",\"PeriodicalId\":11124,\"journal\":{\"name\":\"DEStech Transactions on Materials Science and Engineering\",\"volume\":\"9 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-04-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"DEStech Transactions on Materials Science and Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.12783/DTMSE/AMEME2020/35563\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"DEStech Transactions on Materials Science and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12783/DTMSE/AMEME2020/35563","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Solving the Nominal-the-Best Decision-Making Problem by Grey-Fuzzy Linguistic Method
This article combines two well-developed notions: the grey relations method (GRM) and fuzzy linguistic scoring technique, for solving the problem of qualitative and quantitative criterions coexistence due to the original GRM being unable to effectively handle the simple qualitativeorientated solution. Further, an empirical process adopting GRM with the fuzzy technique has successfully proved the ratings of every alternative with two types of objectives can be an optimal approach. This conclusion can be utilized to help solve other related computing issues.