基于无限值Lukasiewicz语义的分级推理方法

David Picado Muiño
{"title":"基于无限值Lukasiewicz语义的分级推理方法","authors":"David Picado Muiño","doi":"10.1109/ISMVL.2010.54","DOIUrl":null,"url":null,"abstract":"We present a consequence relation for graded inference within the frame of infinite-valued Lukasiewicz semantics. We consider the premises to be true to at least a certain degree A and consider as consequences those sentences entailed to have a degree of truth at least some suitable threshold B. We focus on the study of some aspects and features of the consequence relation presented and, in particular, on the effect of variations in the thresholds A, B.","PeriodicalId":447743,"journal":{"name":"2010 40th IEEE International Symposium on Multiple-Valued Logic","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2010-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A Graded Inference Approach Based on Infinite-Valued Lukasiewicz Semantics\",\"authors\":\"David Picado Muiño\",\"doi\":\"10.1109/ISMVL.2010.54\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present a consequence relation for graded inference within the frame of infinite-valued Lukasiewicz semantics. We consider the premises to be true to at least a certain degree A and consider as consequences those sentences entailed to have a degree of truth at least some suitable threshold B. We focus on the study of some aspects and features of the consequence relation presented and, in particular, on the effect of variations in the thresholds A, B.\",\"PeriodicalId\":447743,\"journal\":{\"name\":\"2010 40th IEEE International Symposium on Multiple-Valued Logic\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 40th IEEE International Symposium on Multiple-Valued Logic\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISMVL.2010.54\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 40th IEEE International Symposium on Multiple-Valued Logic","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISMVL.2010.54","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

在无限值Lukasiewicz语义的框架内,给出了分级推理的一个推论关系。我们认为前提至少在一定程度上a是真实的,并认为那些句子至少在一定程度上具有合适的阈值B作为结果。我们关注于所呈现的结果关系的某些方面和特征的研究,特别是阈值a, B的变化的影响。
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
A Graded Inference Approach Based on Infinite-Valued Lukasiewicz Semantics
We present a consequence relation for graded inference within the frame of infinite-valued Lukasiewicz semantics. We consider the premises to be true to at least a certain degree A and consider as consequences those sentences entailed to have a degree of truth at least some suitable threshold B. We focus on the study of some aspects and features of the consequence relation presented and, in particular, on the effect of variations in the thresholds A, B.
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
Toffoli Gate Implementation Using the Billiard Ball Model Queries with Multivalued Logic-Based Semantics for Imperfect Information Fusion On the Number of Products to Represent Interval Functions by SOPs with Four-Valued Variables Spectral Techniques: The First Decade of the XXI Century (Invited Paper) Efficient Simulation-Based Debugging of Reversible Logic
×
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