General type-2 FLS with uncertainty generated by fuzzy rough sets

General type-2 FLS with uncertainty generated by fuzzy rough sets

In this paper, in the framework of the type-2 fuzzy logic system (FLS), a concept of fuzzification by fuzzy rough sets is introduced. The notion of the general type-2 fuzzy set is found to be concurrent with the fuzzy rough set in the sense of Nakamura. Instead of fuzzifying an input, ahead of time,...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
1. Verfasser: Starczewski, J T
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Approximation methods
Construction industry
Fuzzy logic
Fuzzy sets
Noise measurement
Rough sets
Uncertainty
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 6
container_issue
container_start_page 1
container_title
container_volume
creator Starczewski, J T
description In this paper, in the framework of the type-2 fuzzy logic system (FLS), a concept of fuzzification by fuzzy rough sets is introduced. The notion of the general type-2 fuzzy set is found to be concurrent with the fuzzy rough set in the sense of Nakamura. Instead of fuzzifying an input, ahead of time, we may construct a fuzzy rough set which acts as a type-2 fuzzy antecedent set. We demonstrate that general type-2 FLSs with antecedents generated by fuzzy rough sets can handle the uncertainty about the inputs in comparison to type-1 FLSs.
doi_str_mv 10.1109/FUZZY.2010.5584238
format Conference Proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_5584238</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>5584238</ieee_id><sourcerecordid>5584238</sourcerecordid><originalsourceid>FETCH-LOGICAL-i175t-96656e35b2a2e6e9320fc20ca0f1ab2fd4a5bacd8ca23fa1320179c62f3f2f9d3</originalsourceid><addsrcrecordid>eNo9j81OwzAQhI0AiVL6AnDxC6TY65_Yx6qiBSkSB-iBXirHWbdBJVSJI5Q-fS2o2Mvqm50ZaQm552zKObOPi9V6_TEFllgpI0GYC3LLJUipbVIv_4Fbc0VGKWKyPBlvyKTrPlkaqUAbOSKzJTbYuj2NwwEzoIvijf7UcUf7xmMbXd3EgW5_PRErWg409MfjQNvvfrujHcbujlwHt-9wct5jslo8vc-fs-J1-TKfFVnNcxUzq7XSKFQJDlCjFcCCB-YdC9yVECrpVOl8ZbwDERxPd55bryGIAMFWYkwe_nprRNwc2vrLtcPm_L44AdlrTLs</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>General type-2 FLS with uncertainty generated by fuzzy rough sets</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Starczewski, J T</creator><creatorcontrib>Starczewski, J T</creatorcontrib><description>In this paper, in the framework of the type-2 fuzzy logic system (FLS), a concept of fuzzification by fuzzy rough sets is introduced. The notion of the general type-2 fuzzy set is found to be concurrent with the fuzzy rough set in the sense of Nakamura. Instead of fuzzifying an input, ahead of time, we may construct a fuzzy rough set which acts as a type-2 fuzzy antecedent set. We demonstrate that general type-2 FLSs with antecedents generated by fuzzy rough sets can handle the uncertainty about the inputs in comparison to type-1 FLSs.</description><identifier>ISSN: 1098-7584</identifier><identifier>ISBN: 1424469198</identifier><identifier>ISBN: 9781424469192</identifier><identifier>EISBN: 1424469201</identifier><identifier>EISBN: 9781424469208</identifier><identifier>EISBN: 142446921X</identifier><identifier>EISBN: 9781424469215</identifier><identifier>DOI: 10.1109/FUZZY.2010.5584238</identifier><language>eng</language><publisher>IEEE</publisher><subject>Approximation methods ; Construction industry ; Fuzzy logic ; Fuzzy sets ; Noise measurement ; Rough sets ; Uncertainty</subject><ispartof>International Conference on Fuzzy Systems, 2010, p.1-6</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5584238$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>310,311,781,785,790,791,2059,27927,54922</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5584238$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Starczewski, J T</creatorcontrib><title>General type-2 FLS with uncertainty generated by fuzzy rough sets</title><title>International Conference on Fuzzy Systems</title><addtitle>FUZZY</addtitle><description>In this paper, in the framework of the type-2 fuzzy logic system (FLS), a concept of fuzzification by fuzzy rough sets is introduced. The notion of the general type-2 fuzzy set is found to be concurrent with the fuzzy rough set in the sense of Nakamura. Instead of fuzzifying an input, ahead of time, we may construct a fuzzy rough set which acts as a type-2 fuzzy antecedent set. We demonstrate that general type-2 FLSs with antecedents generated by fuzzy rough sets can handle the uncertainty about the inputs in comparison to type-1 FLSs.</description><subject>Approximation methods</subject><subject>Construction industry</subject><subject>Fuzzy logic</subject><subject>Fuzzy sets</subject><subject>Noise measurement</subject><subject>Rough sets</subject><subject>Uncertainty</subject><issn>1098-7584</issn><isbn>1424469198</isbn><isbn>9781424469192</isbn><isbn>1424469201</isbn><isbn>9781424469208</isbn><isbn>142446921X</isbn><isbn>9781424469215</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo9j81OwzAQhI0AiVL6AnDxC6TY65_Yx6qiBSkSB-iBXirHWbdBJVSJI5Q-fS2o2Mvqm50ZaQm552zKObOPi9V6_TEFllgpI0GYC3LLJUipbVIv_4Fbc0VGKWKyPBlvyKTrPlkaqUAbOSKzJTbYuj2NwwEzoIvijf7UcUf7xmMbXd3EgW5_PRErWg409MfjQNvvfrujHcbujlwHt-9wct5jslo8vc-fs-J1-TKfFVnNcxUzq7XSKFQJDlCjFcCCB-YdC9yVECrpVOl8ZbwDERxPd55bryGIAMFWYkwe_nprRNwc2vrLtcPm_L44AdlrTLs</recordid><startdate>201007</startdate><enddate>201007</enddate><creator>Starczewski, J T</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>201007</creationdate><title>General type-2 FLS with uncertainty generated by fuzzy rough sets</title><author>Starczewski, J T</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-96656e35b2a2e6e9320fc20ca0f1ab2fd4a5bacd8ca23fa1320179c62f3f2f9d3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Approximation methods</topic><topic>Construction industry</topic><topic>Fuzzy logic</topic><topic>Fuzzy sets</topic><topic>Noise measurement</topic><topic>Rough sets</topic><topic>Uncertainty</topic><toplevel>online_resources</toplevel><creatorcontrib>Starczewski, J T</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Starczewski, J T</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>General type-2 FLS with uncertainty generated by fuzzy rough sets</atitle><btitle>International Conference on Fuzzy Systems</btitle><stitle>FUZZY</stitle><date>2010-07</date><risdate>2010</risdate><spage>1</spage><epage>6</epage><pages>1-6</pages><issn>1098-7584</issn><isbn>1424469198</isbn><isbn>9781424469192</isbn><eisbn>1424469201</eisbn><eisbn>9781424469208</eisbn><eisbn>142446921X</eisbn><eisbn>9781424469215</eisbn><abstract>In this paper, in the framework of the type-2 fuzzy logic system (FLS), a concept of fuzzification by fuzzy rough sets is introduced. The notion of the general type-2 fuzzy set is found to be concurrent with the fuzzy rough set in the sense of Nakamura. Instead of fuzzifying an input, ahead of time, we may construct a fuzzy rough set which acts as a type-2 fuzzy antecedent set. We demonstrate that general type-2 FLSs with antecedents generated by fuzzy rough sets can handle the uncertainty about the inputs in comparison to type-1 FLSs.</abstract><pub>IEEE</pub><doi>10.1109/FUZZY.2010.5584238</doi><tpages>6</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 1098-7584
ispartof International Conference on Fuzzy Systems, 2010, p.1-6
issn 1098-7584
language eng
recordid cdi_ieee_primary_5584238
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Approximation methods
Construction industry
Fuzzy logic
Fuzzy sets
Noise measurement
Rough sets
Uncertainty
title General type-2 FLS with uncertainty generated by fuzzy rough sets
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-18T10%3A03%3A36IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=General%20type-2%20FLS%20with%20uncertainty%20generated%20by%20fuzzy%20rough%20sets&rft.btitle=International%20Conference%20on%20Fuzzy%20Systems&rft.au=Starczewski,%20J%20T&rft.date=2010-07&rft.spage=1&rft.epage=6&rft.pages=1-6&rft.issn=1098-7584&rft.isbn=1424469198&rft.isbn_list=9781424469192&rft_id=info:doi/10.1109/FUZZY.2010.5584238&rft_dat=%3Cieee_6IE%3E5584238%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=1424469201&rft.eisbn_list=9781424469208&rft.eisbn_list=142446921X&rft.eisbn_list=9781424469215&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=5584238&rfr_iscdi=true