A novel approach for fuzzy clustering based on neutrosophic association matrix

Long, Hoang Viet, Ali, Mumtaz, Son, Le Hoang, Khan, Mohsin and Tu, Doan Ngoc 2019, A novel approach for fuzzy clustering based on neutrosophic association matrix, Computers and industrial engineering, vol. 127, pp. 687-697, doi: 10.1016/j.cie.2018.11.007.

Attached Files
Name Description MIMEType Size Downloads

Title A novel approach for fuzzy clustering based on neutrosophic association matrix
Author(s) Long, Hoang Viet
Ali, MumtazORCID iD for Ali, Mumtaz orcid.org/0000-0002-6975-5159
Son, Le Hoang
Khan, Mohsin
Tu, Doan Ngoc
Journal name Computers and industrial engineering
Volume number 127
Start page 687
End page 697
Total pages 11
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2019-01
ISSN 0360-8352
Language eng
DOI 10.1016/j.cie.2018.11.007
Indigenous content off
Field of Research 08 Information and Computing Sciences
09 Engineering
01 Mathematical Sciences
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2018, Elsevier
Persistent URL http://hdl.handle.net/10536/DRO/DU:30121845

Document type: Journal Article
Collection: Faculty of Science, Engineering and Built Environment
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 14 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 4 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Fri, 17 May 2019, 14:07:04 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.