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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemtc-m16c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Repositorysid.inpe.br/mtc-m18@80/2008/07.16.12.18   (restricted access)
Last Update2008:07.16.12.27.22 (UTC) administrator
Metadata Repositorysid.inpe.br/mtc-m18@80/2008/07.16.12.18.53
Metadata Last Update2021:02.03.17.56.35 (UTC) administrator
Secondary KeyINPE--PRE/
Citation KeyMiyahiraArau:2008:FuObIn
TitleFuzzy Obesity Index for Obesity Treatment and Surgical Indication
Year2008
Access Date2024, Apr. 28
Secondary TypePRE CI
Number of Files1
Size191 KiB
2. Context
Author1 Miyahira, Susana Abe
2 Araujo, José Ernesto de
Group1
2 LIT-LIT-INPE-MCT-BR
Affiliation1
2 Instituto Nacional de Pesquisas Espaciais (INPE)
Conference NameEEE World Congress on Computational Intelligence (WCCI 2008) / IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
Conference LocationHong Kong
Date1-6 June 2008
Book TitleProceedings
History (UTC)2008-07-16 12:27:22 :: marciana -> administrator ::
2021-02-03 17:56:35 :: administrator -> marciana :: 2008
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
AbstractA Fuzzy Obesity Index for being used as an alternative in obesity treatment and bariatric surgery indication (BSI) is presented in this paper. Obesity is nowadays understood as universal epidemy and became an important source of death and co-morbidities. The search for a more accurate method to evaluate obesity and to indicate a better treatment is important in the world health context. In this paper the Body Mass Index (BMI) is first modified and treated as fuzzy sets. BMI is characterized by its capacity of weight excess and considered the main criteria for obesity treatment and BSI. Nevertheless, the fat excess related to the Body Fat (BF) is actually the principal harmful factor in obesity disease, that is usually neglected. Due to that this paper also presents a new fuzzy mechanism for evaluating obesity by associating BMI with Body Fat (BF) that yields a fuzzy obesity index for obesity evaluation and treatment and allows to build up a Fuzzy Decision Support System (FDSS) for BSI. Different values of BMI and BF (in terms of %BF) used for validating the proposed method classify individuals in distinct categories with degrees of compatibility more realistic than those accomplished by Boolean classification, as usually occur. The proposed method may assume an important whole in medicine as an index for obesity evaluation and surgery treatment by using the advantages of BMI and BF in synergy.
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Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > COLIT > Fuzzy Obesity Index...
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4. Conditions of access and use
Languageen
Target FileMiyahira-Araujo_Fuzz-IEEE-08_Obesity_pdf.pdf
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Visibilityshown
Read Permissiondeny from all and allow from 150.163
5. Allied materials
Next Higher Units8JMKD3MGPCW/444BQ9E
Host Collectionsid.inpe.br/mtc-m18@80/2008/03.17.15.17
6. Notes
Empty Fieldsarchivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi e-mailaddress edition editor electronicmailaddress format identifier isbn issn keywords label lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress readergroup resumeid rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype type url versiontype volume
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