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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemtc-m16c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier6qtX3pFwXQZ3P8SECKy/CBfgR
Repositorysid.inpe.br/jeferson/2004/06.29.09.26
Last Update2006:06.14.04.03.56 (UTC) administrator
Metadata Repositorysid.inpe.br/jeferson/2004/06.29.09.26.46
Metadata Last Update2021:02.03.17.56.33 (UTC) administrator
Secondary KeyINPE-11206-PRE/6655
Citation KeyAraujoFoKiemSandSilv:2004:FRAg
TitleFuzzy reference gain-scheduling approach as intelligent agents. FRGS agent
FormatPapel; On-line.
Year2004
Access Date2024, May 18
Secondary TypePRE CI
Number of Files1
Size319 KiB
2. Context
Author1 Araujo Filho, José Ernesto de
2 Kiemitz, K. H.
3 Sandri, Sandra Aparecida
4 Silva, Jose Demisio Simoes da
Resume Identifier1
2
3 8JMKD3MGP5W/3E3JEJL
4 8JMKD3MGP5W/3C9JHH2
Group1 LIT-INPE-MCT-BR
2 LAC-INPE-MCT-BR
3 LAC-INPE-MCT-BR
4 LAC-INPE-MCT-BR
Affiliation1 Instituto Nacional de pesquisas Espaciais. laboratório de Integração Testes
2 Instituto Nacional de pesquisas Espaciais. Laboratório de Computação Aplicada
Conference NameIEEE International Conference on Fuzzy Systems.
Conference LocationBudapest, Hungria
Date25-29 July, 2004
Book TitleProceedings
History (UTC)2004-12-30 17:22:13 :: marciana -> administrator ::
2006-09-27 20:15:06 :: administrator -> marciana ::
2008-07-16 15:00:28 :: marciana -> administrator ::
2021-02-03 17:56:33 :: administrator -> marciana :: 2004
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
KeywordsFuzzy logic
gain-scheduling approach
intelligent agentes
control application
AbstractGoal driven Intelligent Agents and Fuzzy Reference Gain-Scheduling (FRGS) approach are described in this paper as interchangeable concepts that are able to deal with dynamic complex problems. It is advocated that the FRGS approach may be viewed as an autonomous goal-based agent, that is, a fuzzy logic based agent able to autonomously adapt itself to environmental changes introduced by external inputs. The concept of fuzzy systems and intelligent agent are employed in decision-making problems to lead to a certain degree of autonomy in decision support system. Although the FRGS method was originally proposed for control application, this approach was extended to decision-making tasks due to its ability of emulating human reasoning. This new agent approach uses the external input information also denominated reference (goal) as the driven mechanism to determine the behavior of the system in order to achieve the desired objectives (goal). Thus, the FRGS approach can be modeled in the framework of an adaptive and goal (also context or environment) driven agent.
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/6qtX3pFwXQZ3P8SECKy/CBfgR
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZ3P8SECKy/CBfgR
Languageen
Target FileAraujo_Fuzz-IEEE-2004.pdf
User Groupadministrator
marciana
Visibilityshown
Copy HolderSID/SCD
5. Allied materials
Next Higher Units8JMKD3MGPCW/3ESGTTP
8JMKD3MGPCW/444BQ9E
Host Collectionsid.inpe.br/mtc-m18@80/2008/03.17.15.17
6. Notes
Empty Fieldsarchivingpolicy archivist callnumber copyright creatorhistory descriptionlevel dissemination documentstage doi e-mailaddress edition editor electronicmailaddress isbn issn label lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress readergroup readpermission rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype type url versiontype volume
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