Parameter identification in a fuzzy system with insufficient data

This article suggests an automatic initialization of a fuzzy rule basis from available numerical data, as well as two methods of extension allowing the incremental updating of the rule basis.

Saved in:
Bibliographic Details
Main Author: Benmakrouha, F.
Format: Conference Proceeding
Language:English
Subjects:
Computer science
Convergence
Data mining
Fuzzy sets
Fuzzy systems
Gradient methods
Industrial training
Parameter estimation
Partitioning algorithms
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page 542 vol.1
container_issue
container_start_page 537
container_title
container_volume 1
creator Benmakrouha, F.
description This article suggests an automatic initialization of a fuzzy rule basis from available numerical data, as well as two methods of extension allowing the incremental updating of the rule basis.
doi_str_mv 10.1109/FUZZY.1997.616424
format conference_proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_616424</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>616424</ieee_id><sourcerecordid>616424</sourcerecordid><originalsourceid>FETCH-ieee_primary_6164243</originalsourceid><addsrcrecordid>eNp9jrEKwjAYhAMiKNoH0CkvYE1sbMwoYnF00MEu5cf-xV9slSRF2qc3oLPHwcHdNxxjMyliKYVZZuc8v8TSGB2nMlUrNWCR0RsRnCTapHLEIufuIkitldF6zLZHsFCjR8upxMZTRVfw9Gw4NRx41fZ9x13nPNb8Tf4WatdWAaIA8xI8TNmwgofD6JcTNs_2p91hQYhYvCzVYLvi-yf5O34AiYI6VQ</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Parameter identification in a fuzzy system with insufficient data</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Benmakrouha, F.</creator><creatorcontrib>Benmakrouha, F.</creatorcontrib><description>This article suggests an automatic initialization of a fuzzy rule basis from available numerical data, as well as two methods of extension allowing the incremental updating of the rule basis.</description><identifier>ISBN: 9780780337961</identifier><identifier>ISBN: 0780337964</identifier><identifier>DOI: 10.1109/FUZZY.1997.616424</identifier><language>eng</language><publisher>IEEE</publisher><subject>Computer science ; Convergence ; Data mining ; Fuzzy sets ; Fuzzy systems ; Gradient methods ; Industrial training ; Parameter estimation ; Partitioning algorithms</subject><ispartof>Proceedings of 6th International Fuzzy Systems Conference, 1997, Vol.1, p.537-542 vol.1</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/616424$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,4050,4051,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/616424$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Benmakrouha, F.</creatorcontrib><title>Parameter identification in a fuzzy system with insufficient data</title><title>Proceedings of 6th International Fuzzy Systems Conference</title><addtitle>FUZZY</addtitle><description>This article suggests an automatic initialization of a fuzzy rule basis from available numerical data, as well as two methods of extension allowing the incremental updating of the rule basis.</description><subject>Computer science</subject><subject>Convergence</subject><subject>Data mining</subject><subject>Fuzzy sets</subject><subject>Fuzzy systems</subject><subject>Gradient methods</subject><subject>Industrial training</subject><subject>Parameter estimation</subject><subject>Partitioning algorithms</subject><isbn>9780780337961</isbn><isbn>0780337964</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1997</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNp9jrEKwjAYhAMiKNoH0CkvYE1sbMwoYnF00MEu5cf-xV9slSRF2qc3oLPHwcHdNxxjMyliKYVZZuc8v8TSGB2nMlUrNWCR0RsRnCTapHLEIufuIkitldF6zLZHsFCjR8upxMZTRVfw9Gw4NRx41fZ9x13nPNb8Tf4WatdWAaIA8xI8TNmwgofD6JcTNs_2p91hQYhYvCzVYLvi-yf5O34AiYI6VQ</recordid><startdate>1997</startdate><enddate>1997</enddate><creator>Benmakrouha, F.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>1997</creationdate><title>Parameter identification in a fuzzy system with insufficient data</title><author>Benmakrouha, F.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-ieee_primary_6164243</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1997</creationdate><topic>Computer science</topic><topic>Convergence</topic><topic>Data mining</topic><topic>Fuzzy sets</topic><topic>Fuzzy systems</topic><topic>Gradient methods</topic><topic>Industrial training</topic><topic>Parameter estimation</topic><topic>Partitioning algorithms</topic><toplevel>online_resources</toplevel><creatorcontrib>Benmakrouha, F.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore (Online service)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Benmakrouha, F.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Parameter identification in a fuzzy system with insufficient data</atitle><btitle>Proceedings of 6th International Fuzzy Systems Conference</btitle><stitle>FUZZY</stitle><date>1997</date><risdate>1997</risdate><volume>1</volume><spage>537</spage><epage>542 vol.1</epage><pages>537-542 vol.1</pages><isbn>9780780337961</isbn><isbn>0780337964</isbn><abstract>This article suggests an automatic initialization of a fuzzy rule basis from available numerical data, as well as two methods of extension allowing the incremental updating of the rule basis.</abstract><pub>IEEE</pub><doi>10.1109/FUZZY.1997.616424</doi></addata></record>
fulltext fulltext_linktorsrc
identifier ISBN: 9780780337961
ispartof Proceedings of 6th International Fuzzy Systems Conference, 1997, Vol.1, p.537-542 vol.1
issn
language eng
recordid cdi_ieee_primary_616424
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Computer science
Convergence
Data mining
Fuzzy sets
Fuzzy systems
Gradient methods
Industrial training
Parameter estimation
Partitioning algorithms
title Parameter identification in a fuzzy system with insufficient data
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T17%3A51%3A14IST&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=Parameter%20identification%20in%20a%20fuzzy%20system%20with%20insufficient%20data&rft.btitle=Proceedings%20of%206th%20International%20Fuzzy%20Systems%20Conference&rft.au=Benmakrouha,%20F.&rft.date=1997&rft.volume=1&rft.spage=537&rft.epage=542%20vol.1&rft.pages=537-542%20vol.1&rft.isbn=9780780337961&rft.isbn_list=0780337964&rft_id=info:doi/10.1109/FUZZY.1997.616424&rft_dat=%3Cieee_6IE%3E616424%3C/ieee_6IE%3E%3Cgrp_id%3Ecdi_FETCH-ieee_primary_6164243%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=616424&rfr_iscdi=true