Openly accessible

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 12

Title Fuzzy entropy from weak fuzzy subsethood measures
Author(s) Galar, M.
Bustince, H.
Fernandez, J.
Sanz, J.
Beliakov, G.
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
Persistent URL http://hdl.handle.net/10536/DRO/DU:30031467

Document type: Journal Article
Collections: School of Information Technology
Open Access Collection
Connect to link resolver
 
Link to Related Work
 
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: Scopus Citation Count Cited 2 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 392 Abstract Views, 15 File Downloads  -  Detailed Statistics
Created: Mon, 06 Dec 2010, 16:42:04 EST by Sandra Dunoon

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.