Applications of fuzzy logic, artificial neural network and neuro-fuzzy in industrial engineering

Raheleh Jafari*, Miguel A. Contreras, Wen Yu, Alexander Gegov

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

Artificial intelligence methods namely artificial neural network, fuzzy logic, and neuro-fuzzy have been effectively utilized in different applications like business, marketing, control engendering, health care, and social services. To demonstrate the usage of fuzzy set theory, artificial neural network, as well as neuro-fuzzy in industrial engineering and also for providing a basis for future investigation, a literature review of the artificial neural network, fuzzy logic, and neuro-fuzzy in industrial engineering is conducted in this paper.
Original languageEnglish
Title of host publicationIndustrial and Robotic Systems
Subtitle of host publicationLASIRS 2019
EditorsE. Hernandez, S. Keshtkar , S. Valdez
PublisherSpringer
Pages9-14
Number of pages6
ISBN (Electronic)978-3-030-45402-9
ISBN (Print)978-3-030-45401-2
DOIs
Publication statusPublished - 14 May 2020
EventLatin American Symposium on Industrial and Robotic Systems - Tampico, Mexico
Duration: 30 Sep 201930 Sep 2019
https://link.springer.com/conference/lasirs

Publication series

NameMechanisms and Machine Science
PublisherSpringer
Volume86
ISSN (Print)2211-0984

Conference

ConferenceLatin American Symposium on Industrial and Robotic Systems
Abbreviated titleLASIRS 2019
CountryMexico
CityTampico
Period30/09/1930/09/19
Internet address

Keywords

  • fuzzy logic
  • artifical neural network
  • neuro-fuzzy
  • industrial engineering

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