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 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 Document type: Journal Article Collections: Institute for Intelligent Systems Research and Innovation (IISRI) Open Access Collection GTP Research Related Links Link Description Connect to published version Go to link with your DU access privileges     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 Wed, 16 Sep 2020, 14:55:52 EST Thu, 17 Sep 2020, 05:01:58 EST Thu, 17 Sep 2020, 07:31:13 EST Sat, 19 Sep 2020, 02:33:44 EST Sat, 03 Oct 2020, 06:04:41 EST Tue, 06 Oct 2020, 09:12:09 EST Tue, 06 Oct 2020, 09:14:06 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 27 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.