Openly accessible

A new monotone fuzzy rule relabeling framework with application to failure mode and effect analysis methodology

Pang, Lie Meng, Tay, Kai Meng, Lim, Chee Peng and Ishibuchi, Hisao 2020, A new monotone fuzzy rule relabeling framework with application to failure mode and effect analysis methodology, IEEE Access, vol. 8, pp. 144908-144930, doi: 10.1109/ACCESS.2020.3014509.

Attached Files
Name Description MIMEType Size Downloads

Title A new monotone fuzzy rule relabeling framework with application to failure mode and effect analysis methodology
Author(s) Pang, Lie Meng
Tay, Kai Meng
Lim, Chee PengORCID iD for Lim, Chee Peng orcid.org/0000-0003-4191-9083
Ishibuchi, Hisao
Journal name IEEE Access
Volume number 8
Start page 144908
End page 144930
Total pages 23
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Publication date 2020
ISSN 2169-3536
2169-3536
Keyword(s) Science & Technology
Technology
Computer Science, Information Systems
Engineering, Electrical & Electronic
Telecommunications
Computer Science
Engineering
Noise measurement
Fuzzy logic
Computational efficiency
Analytical models
Graph theory
Computational modeling
Sewage treatment
Fuzzy inference systems
failure mode and effect analysis
monotonicity
monotone fuzzy rule relabeling
network flow method
Language eng
DOI 10.1109/ACCESS.2020.3014509
Indigenous content off
Field of Research 08 Information and Computing Sciences
09 Engineering
10 Technology
HERDC Research category C1 Refereed article in a scholarly journal
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30142019

Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 12 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Wed, 16 Sep 2020, 14:55:52 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.