用灰色模糊语言方法求解名义最优决策问题

Kuo-Yan Wang, Jing Yu
{"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}
引用次数: 0

摘要

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。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A Correction Model of Troposphere Delay for GNSS Signal in the Dust and Haze Weather Research on the Development of Chongqing’s Intelligent Industry Based on the Background of China’s High-Quality Economic Development Algorithm of Contour Contour Contour of Complex Surface in NC Machining Application of Bertalanffy and Logistic Growth Curve Fitting Model in Chicken Analysis and Verification of Dynamic Characteristics of Flexible Spatial Parallel Robot
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1