Optimized daily diet composition for a nutritionally balanced diet: An application of Fuzzy Multiple Objective Linear Programming

Nutrition related diseases such as Cardiovascular Diseases, type 2 diabetes, and certain types of cancers are widely prevalent, and increasing in both developed and developing countries. This escalates the need to consistently follow a nutritionally balanced diet. Formulation of nutritionally balanc...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) s. 1628 - 1634
Hlavní autoři: Tom, Mary, Wibovo, Santoso, Williams, Susan
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.07.2016
Témata:
Australia
Diabetes
Fats
Fuzzy multi-objective linear programming
Fuzzy optimization
Genetic algorithms
Linear programming
Multi-objective decision making
Nutritionally balanced diet
Optimization
Sugar
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Abstract Nutrition related diseases such as Cardiovascular Diseases, type 2 diabetes, and certain types of cancers are widely prevalent, and increasing in both developed and developing countries. This escalates the need to consistently follow a nutritionally balanced diet. Formulation of nutritionally balanced Meals is a complex task, which requires considerable effort, time, and intellectual capability for evaluation of Menu items and analysis of a range of nutrient values. As a step towards automating this task, this interdisciplinary study presents a fuzzy optimization model applying Fuzzy Multi-objective Linear Programming (FMOLP) to compose a daily diet consisting of nutritionally balanced Meals which limit nutrients such as cholesterol, sugar, saturated fat, and sodium. An effective algorithm is developed to create a pare to optimal solution set of optimized daily diet choices. The model is tested using one hundred Menu items, for demonstrating the applicability of the model in composing a nutritionally balanced diet.
AbstractList Nutrition related diseases such as Cardiovascular Diseases, type 2 diabetes, and certain types of cancers are widely prevalent, and increasing in both developed and developing countries. This escalates the need to consistently follow a nutritionally balanced diet. Formulation of nutritionally balanced Meals is a complex task, which requires considerable effort, time, and intellectual capability for evaluation of Menu items and analysis of a range of nutrient values. As a step towards automating this task, this interdisciplinary study presents a fuzzy optimization model applying Fuzzy Multi-objective Linear Programming (FMOLP) to compose a daily diet consisting of nutritionally balanced Meals which limit nutrients such as cholesterol, sugar, saturated fat, and sodium. An effective algorithm is developed to create a pare to optimal solution set of optimized daily diet choices. The model is tested using one hundred Menu items, for demonstrating the applicability of the model in composing a nutritionally balanced diet.
Author Williams, Susan
Wibovo, Santoso
Tom, Mary
Author_xml – sequence: 1
  givenname: Mary
  surname: Tom
  fullname: Tom, Mary
  email: m.tom@cqu.edu.au
  organization: Sch. of Eng. & Technol., Central Queensland Univ., Brisbane, QLD, Australia
– sequence: 2
  givenname: Santoso
  surname: Wibovo
  fullname: Wibovo, Santoso
  email: s.wibowo1@cqu.edu.au
  organization: Sch. of Eng. & Technol., Central Queensland Univ., Melbourne, VIC, Australia
– sequence: 3
  givenname: Susan
  surname: Williams
  fullname: Williams, Susan
  email: s.p.williams@cqu.edu.au
  organization: Sch. of Med. & Appl. Sci., Central Queensland Univ., Rockhampton, QLD, Australia
BookMark eNotkLFOwzAURY0EA5R-ARLyD6TYcezEbFWVAlJRGcrSpXp2nquHEidKU6R2488ppdPVlc65w71j17GNyNijFBMphX2af67XyVtZlpNUSDPJc5UXhb5iY5sXUgsrhElNfst-lt1ADR2x4hVQfeAV4cB923TtjgZqIw9tz4HH_dCfO9QnyEEN0f85J_qZTyOHrqvJw9loA5_vj8cDf9_XA3U18qX7Qj_QN_IFRYSef_Tttoemobi9ZzcB6h2OLzliq3m5mr0mi-XL22y6SMiKIbEmT2UIElzhtQvKF2kWADKnvfZKCUQjgjUWQuZ8QKMrhT6zWlUn2DmtRuzhf5YQcdP11EB_2Fx-Ub-ct2H0
ContentType Conference Proceeding
DBID 6IE
6IH
CBEJK
RIE
RIO
DOI 10.1109/FUZZ-IEEE.2016.7737885
DatabaseName IEEE Electronic Library (IEL) Conference Proceedings
IEEE Proceedings Order Plan (POP) 1998-present by volume
IEEE Xplore All Conference Proceedings
IEEE Electronic Library (IEL)
IEEE Proceedings Order Plans (POP) 1998-present
DatabaseTitleList
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE Electronic Library (IEL)
  url: https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
EISBN 9781509006267
1509006265
EndPage 1634
ExternalDocumentID 7737885
Genre orig-research
GroupedDBID 6IE
6IH
CBEJK
RIE
RIO
ID FETCH-LOGICAL-i90t-96721ff1ab8c5bf3c824faa4b5c5c330ee60f969af4bcfe65d3ec4953dbf3bb53
IEDL.DBID RIE
IngestDate Thu Jun 29 18:38:02 EDT 2023
IsPeerReviewed false
IsScholarly false
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-i90t-96721ff1ab8c5bf3c824faa4b5c5c330ee60f969af4bcfe65d3ec4953dbf3bb53
PageCount 7
ParticipantIDs ieee_primary_7737885
PublicationCentury 2000
PublicationDate 2016-July
PublicationDateYYYYMMDD 2016-07-01
PublicationDate_xml – month: 07
  year: 2016
  text: 2016-July
PublicationDecade 2010
PublicationTitle 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
PublicationTitleAbbrev FUZZ-IEEE
PublicationYear 2016
Publisher IEEE
Publisher_xml – name: IEEE
Score 1.6424879
Snippet Nutrition related diseases such as Cardiovascular Diseases, type 2 diabetes, and certain types of cancers are widely prevalent, and increasing in both...
SourceID ieee
SourceType Publisher
StartPage 1628
SubjectTerms Australia
Diabetes
Fats
Fuzzy multi-objective linear programming
Fuzzy optimization
Genetic algorithms
Linear programming
Multi-objective decision making
Nutritionally balanced diet
Optimization
Sugar
Title Optimized daily diet composition for a nutritionally balanced diet: An application of Fuzzy Multiple Objective Linear Programming
URI https://ieeexplore.ieee.org/document/7737885
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlZ27SwMxHMdDLQ5OKq34JoOjae-a18VNxMNB2w4VSpeSJ5y0V6lXod38z03uzqrg4hbCLyQk5PFLPr9vALjikdSS6xglzjFELOZIxkYg7g-vlhFherKUzH_k_X4yHothA1xvY2GstSV8ZjshWb7lm4VehauyLudB_ZzugB3OWRWrVQf9xpHops-TCQouUgC2WKc2_vVrSrlppPv_q-4AtL-j7-Bwu68cgobNW-Bj4Of2PNtYA43MZmtoMlvAAITX1BX0p08oYf6lri9n3kgFcFGHMt76Bt7m8MeDNVw4mK42mzV8qqlCOFAv1QIIvY_q50BoR8C35r4hbTBK70d3D6j-PgFlIiqQYN65cy6WKtFUOayTHnFSEkU11RhH1rLICSakI0o7y6jBVgfa1HhjpSg-As18kdtjAHuCSmKUEr5AUKxPuCZUaKKxibCv5AS0Qu9NXyuBjGndcad_Z5-BvTBAFfN6DprFcmUvwK5-L7K35WU5qp8YXqnY
linkProvider IEEE
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlZ3LS8MwHMfDnIKeVDbxbQ4e7dYuSdN4E7FM3OswYewy8oTK1snshO3mf27S1qngxVsIv5CQkMcv-fy-AeCa-lxyKgMvMib0sEbU44FiHrWHVx1iplo8l8zv0F4vGo3YoAJuNrEwWuscPtMNl8zf8tVcLt1VWZNSp35OtsA2wbjlF9FaZdhv4LNm_Dwee85JcshW2CjNf_2bkm8b8f7_KjwA9e_4OzjY7CyHoKLTGvjo29k9S9ZaQcWT6QqqRGfQIeEldwXt-RNymH7p6_OpNRIOXZSujLW-hXcp_PFkDecGxsv1egW7JVcI--KlWAKh9VLtLHDtcADXzDakDobxw_C-7ZUfKHgJ8zOPhda9MybgIpJEGCSjFjacY0EkkQj5Woe-YSHjBgtpdEgU0tLxpsoaC0HQEaim81QfA9hihGMlBLMFnGZ9RCUmTGKJlI9sJSeg5npv8lpIZEzKjjv9O_sK7LaH3c6k89h7OgN7brAKAvYcVLPFUl-AHfmeJW-Ly3yEPwEUDa0f
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.title=2016+IEEE+International+Conference+on+Fuzzy+Systems+%28FUZZ-IEEE%29&rft.atitle=Optimized+daily+diet+composition+for+a+nutritionally+balanced+diet%3A+An+application+of+Fuzzy+Multiple+Objective+Linear+Programming&rft.au=Tom%2C+Mary&rft.au=Wibovo%2C+Santoso&rft.au=Williams%2C+Susan&rft.date=2016-07-01&rft.pub=IEEE&rft.spage=1628&rft.epage=1634&rft_id=info:doi/10.1109%2FFUZZ-IEEE.2016.7737885&rft.externalDocID=7737885