Solving the Nominal-the-Best Decision-Making Problem by Grey-Fuzzy Linguistic Method

Kuo-Yan Wang, Jing Yu
{"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}
引用次数: 0

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.
用灰色模糊语言方法求解名义最优决策问题
本文结合灰色关联法(GRM)和模糊语言评分技术这两个发展较好的概念,解决了原有的灰色关联法无法有效处理简单的定性解决方案而导致定性标准和定量标准共存的问题。在此基础上,采用模糊技术的GRM经验过程成功地证明了具有两类目标的每个备选方案的评级都是最优方法。这个结论可以用来帮助解决其他相关的计算问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信