Fuzzy entropy from weak fuzzy subsethood measures Galar, M., Bustince, H., Fernandez, J., Sanz, J. and Beliakov, G. 2010, Fuzzy entropy from weak fuzzy subsethood measures, Neural network world : international journal on non-standard computing and artificial intelligence, vol. 20, no. 1, pp. 139-158. Attached Files Name Description MIMEType Size Downloads beliakov-fuzzyentropyfrom-2010.pdf Published version application/pdf 214.65KB 113 Title Fuzzy entropy from weak fuzzy subsethood measures Author(s) Galar, M. Bustince, H. Fernandez, J. Sanz, J. Beliakov, G. orcid.org/0000-0002-9841-5292 Journal name Neural network world : international journal on non-standard computing and artificial intelligence Volume number 20 Issue number 1 Start page 139 End page 158 Total pages 20 Publisher Czech Technical University in Prague, Faculty of Transportation Sciences Place of publication Prague, Czech Republic Publication date 2010 ISSN 1210-0552 Keyword(s) implication operator fuzzy subsethood measures weak fuzzy subsethood measures fuzzy entropy Summary In this paper, we propose a new construction method for fuzzy and weak fuzzy subsethood measures based on the aggregation of implication operators. We study the desired properties of the implication operators in order to construct these measures. We also show the relationship between fuzzy entropy and weak fuzzy subsethood measures constructed by our method. Language eng Field of Research 080108 Neural, Evolutionary and Fuzzy Computation Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences HERDC Research category C1 Refereed article in a scholarly journal HERDC collection year 2010 Copyright notice ©2010, ICS AS CR Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30031467 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Open Access Collection   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 Mon, 06 Dec 2010, 16:42:10 EST Mon, 06 Dec 2010, 16:44:25 EST Wed, 08 Dec 2010, 14:06:04 EST Wed, 08 Dec 2010, 14:07:05 EST Wed, 08 Dec 2010, 14:09:27 EST Wed, 15 Jun 2011, 14:16:25 EST Fri, 09 Mar 2012, 09:33:50 EST Thu, 14 Nov 2013, 14:26:32 EST Wed, 21 Oct 2015, 17:10:03 EST Tue, 06 Sep 2016, 16:10:35 EST Tue, 05 Dec 2017, 10:45:06 EST Fri, 07 Sep 2018, 15:11:09 EST Filtered Full Citation counts:   Cited 4 times in TR Web of Science Cited 4 times in Scopus Search Google Scholar Access Statistics: 960 Abstract Views, 116 File Downloads  -  Detailed Statistics Created: Mon, 06 Dec 2010, 16:42:04 EST by Sandra Dunoon