基于模糊聚类的知识库生成

IF 0.7 4区计算机科学 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING

Programming and Computer Software Pub Date : 2024-03-12 DOI:10.1134/s0361768823100043

T. A. Moiseeva, T. M. Ledeneva

{"title":"基于模糊聚类的知识库生成","authors":"T. A. Moiseeva, T. M. Ledeneva","doi":"10.1134/s0361768823100043","DOIUrl":null,"url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>An approach for generating an optimal rule base of a fuzzy system is proposed, that relies on ellipsoidal clustering of observable data. Premises of fuzzy rules are formed by constructing projections of ellipsoids onto the coordinate axes while conclusions are formed either using ellipsoid axes or also based on projections. The idea of optimization is in using ellipsoids of the minimal volume that includes all points of the cluster. A comparative analysis of various ways to choose optimal parameters for ellipsoids covering the clusters is performed. The root-mean-square error is used to estimate the approximation accuracy of the resulting fuzzy system.</p>","PeriodicalId":54555,"journal":{"name":"Programming and Computer Software","volume":null,"pages":null},"PeriodicalIF":0.7000,"publicationDate":"2024-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Knowledge Base Generation Based on Fuzzy Clustering\",\"authors\":\"T. A. Moiseeva, T. M. Ledeneva\",\"doi\":\"10.1134/s0361768823100043\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<h3 data-test=\\\"abstract-sub-heading\\\">Abstract</h3><p>An approach for generating an optimal rule base of a fuzzy system is proposed, that relies on ellipsoidal clustering of observable data. Premises of fuzzy rules are formed by constructing projections of ellipsoids onto the coordinate axes while conclusions are formed either using ellipsoid axes or also based on projections. The idea of optimization is in using ellipsoids of the minimal volume that includes all points of the cluster. A comparative analysis of various ways to choose optimal parameters for ellipsoids covering the clusters is performed. The root-mean-square error is used to estimate the approximation accuracy of the resulting fuzzy system.</p>\",\"PeriodicalId\":54555,\"journal\":{\"name\":\"Programming and Computer Software\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2024-03-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Programming and Computer Software\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1134/s0361768823100043\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, SOFTWARE ENGINEERING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Programming and Computer Software","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1134/s0361768823100043","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}

引用次数: 0

摘要

摘要提出了一种生成模糊系统优化规则库的方法，该方法依赖于对可观测数据的椭球聚类。模糊规则的前提是通过构建椭球体在坐标轴上的投影形成的，而结论则是通过椭球体轴或投影形成的。优化的理念在于使用包含集群所有点的最小体积的椭球体。对选择覆盖集群的椭球体最佳参数的各种方法进行了比较分析。均方根误差用于估算模糊系统的近似精度。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Knowledge Base Generation Based on Fuzzy Clustering

查看原文本刊更多论文

Knowledge Base Generation Based on Fuzzy Clustering

Abstract

An approach for generating an optimal rule base of a fuzzy system is proposed, that relies on ellipsoidal clustering of observable data. Premises of fuzzy rules are formed by constructing projections of ellipsoids onto the coordinate axes while conclusions are formed either using ellipsoid axes or also based on projections. The idea of optimization is in using ellipsoids of the minimal volume that includes all points of the cluster. A comparative analysis of various ways to choose optimal parameters for ellipsoids covering the clusters is performed. The root-mean-square error is used to estimate the approximation accuracy of the resulting fuzzy system.

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

Programming and Computer Software 工程技术-计算机：软件工程

CiteScore

1.60

自引率

28.60%

发文量

审稿时长

>12 weeks

期刊介绍： Programming and Computer Software is a peer reviewed journal devoted to problems in all areas of computer science: operating systems, compiler technology, software engineering, artificial intelligence, etc.