基于模糊数据加权测量的软控制图

Dabuxilatu Wang
{"title":"基于模糊数据加权测量的软控制图","authors":"Dabuxilatu Wang","doi":"10.1109/FSKD.2013.6816211","DOIUrl":null,"url":null,"abstract":"Data for describing human perception frequently appeared in decision processes, which can be modeled by fuzzy sets. For representing a fuzzy set by a crisp value, the weight of importance with respect to members in a fuzzy set with membership levels should be considered. The weighted possibilistic mean (WPM), weighted possibilistic variance (WPV) and the weighted distance between fuzzy numbers have been proposed. In this paper, we propose a general possibilistic mean control chart in view of the possibility theory using the WPM, WPV and the weighted distance.","PeriodicalId":368964,"journal":{"name":"2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","volume":"328 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A soft control chart based on weighted measurement of fuzzy data\",\"authors\":\"Dabuxilatu Wang\",\"doi\":\"10.1109/FSKD.2013.6816211\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Data for describing human perception frequently appeared in decision processes, which can be modeled by fuzzy sets. For representing a fuzzy set by a crisp value, the weight of importance with respect to members in a fuzzy set with membership levels should be considered. The weighted possibilistic mean (WPM), weighted possibilistic variance (WPV) and the weighted distance between fuzzy numbers have been proposed. In this paper, we propose a general possibilistic mean control chart in view of the possibility theory using the WPM, WPV and the weighted distance.\",\"PeriodicalId\":368964,\"journal\":{\"name\":\"2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)\",\"volume\":\"328 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-07-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FSKD.2013.6816211\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FSKD.2013.6816211","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

描述人类感知的数据经常出现在决策过程中,这些数据可以用模糊集来建模。为了用一个清晰的值来表示模糊集,需要考虑具有隶属度的模糊集中各成员的重要性权重。提出了加权可能性均值(WPM)、加权可能性方差(WPV)和模糊数间的加权距离。本文从可能性理论出发,利用WPM、WPV和加权距离,提出了一种通用的可能性均值控制图。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A soft control chart based on weighted measurement of fuzzy data
Data for describing human perception frequently appeared in decision processes, which can be modeled by fuzzy sets. For representing a fuzzy set by a crisp value, the weight of importance with respect to members in a fuzzy set with membership levels should be considered. The weighted possibilistic mean (WPM), weighted possibilistic variance (WPV) and the weighted distance between fuzzy numbers have been proposed. In this paper, we propose a general possibilistic mean control chart in view of the possibility theory using the WPM, WPV and the weighted distance.
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
×
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