计算模糊矩阵的特征值和特征向量

Journal of Fuzzy Set Valued Analysis Pub Date : 1900-01-01 DOI:10.5899/2012/JFSVA-00120

S. Salahshour, F. Karimi, A. Kumar, Kermanshah Branch, R. Rodr

{"title":"计算模糊矩阵的特征值和特征向量","authors":"S. Salahshour, F. Karimi, A. Kumar, Kermanshah Branch, R. Rodr","doi":"10.5899/2012/JFSVA-00120","DOIUrl":null,"url":null,"abstract":"Computation of fuzzy eigenvalues and fuzzy eigenvectors of a fuzzy matrix is a challenging problem. Determining the maximal and minimal symmetric solution can help to find the eigenvalues. So, we try to compute these eigenvalues by determining the maximal and minimal symmetric solution of the fully fuzzy linear system e A e X = e e","PeriodicalId":308518,"journal":{"name":"Journal of Fuzzy Set Valued Analysis","volume":"2012 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Computing the eigenvalues and eigenvectors of a fuzzy matrix\",\"authors\":\"S. Salahshour, F. Karimi, A. Kumar, Kermanshah Branch, R. Rodr\",\"doi\":\"10.5899/2012/JFSVA-00120\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Computation of fuzzy eigenvalues and fuzzy eigenvectors of a fuzzy matrix is a challenging problem. Determining the maximal and minimal symmetric solution can help to find the eigenvalues. So, we try to compute these eigenvalues by determining the maximal and minimal symmetric solution of the fully fuzzy linear system e A e X = e e\",\"PeriodicalId\":308518,\"journal\":{\"name\":\"Journal of Fuzzy Set Valued Analysis\",\"volume\":\"2012 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Fuzzy Set Valued Analysis\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5899/2012/JFSVA-00120\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Fuzzy Set Valued Analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5899/2012/JFSVA-00120","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 6

摘要

模糊矩阵的模糊特征值和模糊特征向量的计算是一个具有挑战性的问题。确定最大和最小对称解有助于找到特征值。因此，我们试着通过确定全模糊线性系统的最大和最小对称解来计算这些特征值

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Computing the eigenvalues and eigenvectors of a fuzzy matrix

Computation of fuzzy eigenvalues and fuzzy eigenvectors of a fuzzy matrix is a challenging problem. Determining the maximal and minimal symmetric solution can help to find the eigenvalues. So, we try to compute these eigenvalues by determining the maximal and minimal symmetric solution of the fully fuzzy linear system e A e X = e e

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

Journal of Fuzzy Set Valued Analysis

自引率

0.00%

发文量