Dual rectangular fuzzy complex matrix equations: extended solution, algebraic solution, solution and their calculating1
In this paper, we focus on generalized fuzzy complex numbers and propose a straightforward matrix method to solve the dual rectangular fuzzy complex matrix equations C · Z ˜ + L ˜ = R · Z ˜ + W ˜ , in which C and R are crisp complex matrices and Z ˜ , L ˜ and M ˜ are fuzzy complex number matrices. T...
Gespeichert in:
Veröffentlicht in: | Journal of intelligent & fuzzy systems 2024-04, p.1-21 |
---|---|
Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 21 |
---|---|
container_issue | |
container_start_page | 1 |
container_title | Journal of intelligent & fuzzy systems |
container_volume | |
creator | Gong, Zengtai Zhang, Yuanyuan |
description | In this paper, we focus on generalized fuzzy complex numbers and propose a straightforward matrix method to solve the dual rectangular fuzzy complex matrix equations C · Z ˜ + L ˜ = R · Z ˜ + W ˜ , in which C and R are crisp complex matrices and Z ˜ , L ˜ and M ˜ are fuzzy complex number matrices. The existing methods for solving fuzzy complex matrix equations involve separately calculating the extended solution and the corresponding parameters of the real and imaginary parts, whereby we obtain the algebraic solution of the equations. By means of the interval arithmetic and embedding approach, the n × n dual rectangular fuzzy complex linear systems could be converted into 2n × 2n fuzzy linear systems, which are also equivalent to the 4n × 4n real linear systems. By directly solving the 4n × 4n real linear systems, the algebraic solutions can be obtained. The general dual rectangular fuzzy complex matrix equations and dual rectangular fuzzy complex linear systems are investigated by the generalized inverses of matrices. Finally, some examples are given to illustrate the effectiveness of method. |
doi_str_mv | 10.3233/JIFS-239305 |
format | Article |
fullrecord | <record><control><sourceid>crossref</sourceid><recordid>TN_cdi_crossref_primary_10_3233_JIFS_239305</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>10_3233_JIFS_239305</sourcerecordid><originalsourceid>FETCH-crossref_primary_10_3233_JIFS_2393053</originalsourceid><addsrcrecordid>eNqVj8tOwzAURC3USpTHih-4ewjYcZO0bIGqsIW9devcBCPHKX6ItF9PI0Bi29UcjUYaHcauBL-VuZR3L8-r1yyXS8mLEzYTi6rIFsuymhyYl_NM5PPylJ2F8MG5qIqcz9jXY0ILnnRE1yaLHpq03-9A993W0gAdRm8GoM-E0fQu3AMNkVxNNYTeprG7AbQtbTwa_a_7I0BXQ3wn40Gj1YeLaFwrLti0QRvo8jfP2fXq6e1hnWnfh-CpUVtvOvQ7Jbga3dTopn7c5HHrb8_1WHI</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Dual rectangular fuzzy complex matrix equations: extended solution, algebraic solution, solution and their calculating1</title><source>EBSCOhost Business Source Complete</source><creator>Gong, Zengtai ; Zhang, Yuanyuan</creator><creatorcontrib>Gong, Zengtai ; Zhang, Yuanyuan</creatorcontrib><description>In this paper, we focus on generalized fuzzy complex numbers and propose a straightforward matrix method to solve the dual rectangular fuzzy complex matrix equations C · Z ˜ + L ˜ = R · Z ˜ + W ˜ , in which C and R are crisp complex matrices and Z ˜ , L ˜ and M ˜ are fuzzy complex number matrices. The existing methods for solving fuzzy complex matrix equations involve separately calculating the extended solution and the corresponding parameters of the real and imaginary parts, whereby we obtain the algebraic solution of the equations. By means of the interval arithmetic and embedding approach, the n × n dual rectangular fuzzy complex linear systems could be converted into 2n × 2n fuzzy linear systems, which are also equivalent to the 4n × 4n real linear systems. By directly solving the 4n × 4n real linear systems, the algebraic solutions can be obtained. The general dual rectangular fuzzy complex matrix equations and dual rectangular fuzzy complex linear systems are investigated by the generalized inverses of matrices. Finally, some examples are given to illustrate the effectiveness of method.</description><identifier>ISSN: 1064-1246</identifier><identifier>EISSN: 1875-8967</identifier><identifier>DOI: 10.3233/JIFS-239305</identifier><language>eng</language><ispartof>Journal of intelligent & fuzzy systems, 2024-04, p.1-21</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-crossref_primary_10_3233_JIFS_2393053</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Gong, Zengtai</creatorcontrib><creatorcontrib>Zhang, Yuanyuan</creatorcontrib><title>Dual rectangular fuzzy complex matrix equations: extended solution, algebraic solution, solution and their calculating1</title><title>Journal of intelligent & fuzzy systems</title><description>In this paper, we focus on generalized fuzzy complex numbers and propose a straightforward matrix method to solve the dual rectangular fuzzy complex matrix equations C · Z ˜ + L ˜ = R · Z ˜ + W ˜ , in which C and R are crisp complex matrices and Z ˜ , L ˜ and M ˜ are fuzzy complex number matrices. The existing methods for solving fuzzy complex matrix equations involve separately calculating the extended solution and the corresponding parameters of the real and imaginary parts, whereby we obtain the algebraic solution of the equations. By means of the interval arithmetic and embedding approach, the n × n dual rectangular fuzzy complex linear systems could be converted into 2n × 2n fuzzy linear systems, which are also equivalent to the 4n × 4n real linear systems. By directly solving the 4n × 4n real linear systems, the algebraic solutions can be obtained. The general dual rectangular fuzzy complex matrix equations and dual rectangular fuzzy complex linear systems are investigated by the generalized inverses of matrices. Finally, some examples are given to illustrate the effectiveness of method.</description><issn>1064-1246</issn><issn>1875-8967</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNqVj8tOwzAURC3USpTHih-4ewjYcZO0bIGqsIW9devcBCPHKX6ItF9PI0Bi29UcjUYaHcauBL-VuZR3L8-r1yyXS8mLEzYTi6rIFsuymhyYl_NM5PPylJ2F8MG5qIqcz9jXY0ILnnRE1yaLHpq03-9A993W0gAdRm8GoM-E0fQu3AMNkVxNNYTeprG7AbQtbTwa_a_7I0BXQ3wn40Gj1YeLaFwrLti0QRvo8jfP2fXq6e1hnWnfh-CpUVtvOvQ7Jbga3dTopn7c5HHrb8_1WHI</recordid><startdate>20240424</startdate><enddate>20240424</enddate><creator>Gong, Zengtai</creator><creator>Zhang, Yuanyuan</creator><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20240424</creationdate><title>Dual rectangular fuzzy complex matrix equations: extended solution, algebraic solution, solution and their calculating1</title><author>Gong, Zengtai ; Zhang, Yuanyuan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-crossref_primary_10_3233_JIFS_2393053</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gong, Zengtai</creatorcontrib><creatorcontrib>Zhang, Yuanyuan</creatorcontrib><collection>CrossRef</collection><jtitle>Journal of intelligent & fuzzy systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gong, Zengtai</au><au>Zhang, Yuanyuan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Dual rectangular fuzzy complex matrix equations: extended solution, algebraic solution, solution and their calculating1</atitle><jtitle>Journal of intelligent & fuzzy systems</jtitle><date>2024-04-24</date><risdate>2024</risdate><spage>1</spage><epage>21</epage><pages>1-21</pages><issn>1064-1246</issn><eissn>1875-8967</eissn><abstract>In this paper, we focus on generalized fuzzy complex numbers and propose a straightforward matrix method to solve the dual rectangular fuzzy complex matrix equations C · Z ˜ + L ˜ = R · Z ˜ + W ˜ , in which C and R are crisp complex matrices and Z ˜ , L ˜ and M ˜ are fuzzy complex number matrices. The existing methods for solving fuzzy complex matrix equations involve separately calculating the extended solution and the corresponding parameters of the real and imaginary parts, whereby we obtain the algebraic solution of the equations. By means of the interval arithmetic and embedding approach, the n × n dual rectangular fuzzy complex linear systems could be converted into 2n × 2n fuzzy linear systems, which are also equivalent to the 4n × 4n real linear systems. By directly solving the 4n × 4n real linear systems, the algebraic solutions can be obtained. The general dual rectangular fuzzy complex matrix equations and dual rectangular fuzzy complex linear systems are investigated by the generalized inverses of matrices. Finally, some examples are given to illustrate the effectiveness of method.</abstract><doi>10.3233/JIFS-239305</doi></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1064-1246 |
ispartof | Journal of intelligent & fuzzy systems, 2024-04, p.1-21 |
issn | 1064-1246 1875-8967 |
language | eng |
recordid | cdi_crossref_primary_10_3233_JIFS_239305 |
source | EBSCOhost Business Source Complete |
title | Dual rectangular fuzzy complex matrix equations: extended solution, algebraic solution, solution and their calculating1 |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-31T21%3A58%3A46IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-crossref&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Dual%20rectangular%20fuzzy%20complex%20matrix%20equations:%20extended%20solution,%20algebraic%20solution,%20solution%20and%20their%20calculating1&rft.jtitle=Journal%20of%20intelligent%20&%20fuzzy%20systems&rft.au=Gong,%20Zengtai&rft.date=2024-04-24&rft.spage=1&rft.epage=21&rft.pages=1-21&rft.issn=1064-1246&rft.eissn=1875-8967&rft_id=info:doi/10.3233/JIFS-239305&rft_dat=%3Ccrossref%3E10_3233_JIFS_239305%3C/crossref%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |