OWA-aggregated fuzzy similarity relations for journal ranking

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion CynhadleddTrafodion Cynhadledd (Nid-Cyfnodolyn fathau)


Fuzzy similarity relations form the basis for many developments and applications of fuzzy systems. Measures of fuzzy similarity have been proposed in the literature for comparing objects. In this paper, aggregated fuzzy relations are generated between academic journals to compare their performance with respect to different journal impact indicators. In particular, various indicators may be employed to construct several distinctive fuzzy similarity relations, which may be subsequently combined via the use of the Ordered Weighted Average (OWA) operator. This proposed aggregated measure preserves reflexivity and symmetry, with T-transitivity conditionally preserved if appropriate weighting vectors are selected. Different similarity measures and weighting vectors are compared for the task of journal clustering, in an effort to estimate the ranking of academic journals. The results of experimental evaluation demonstrate that by using OWA-aggregated relations, simple techniques such as C-means can perform well in terms of standard accuracy and within-1 accuracy. The proposed method also exhibits the advantages of being more intuitive and interpretable.
Iaith wreiddiolSaesneg
TeitlProceedings of the 22nd International Conference on Fuzzy Systems
CyhoeddwrIEEE Press
Nifer y tudalennau7
ISBN (Argraffiad)978-1-4799-0020-6
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 2013
DigwyddiadFuzzy Systems - Hyderabad, Hyderabad, India
Hyd: 07 Gorff 201310 Gorff 2013
Rhif y gynhadledd: 22


CynhadleddFuzzy Systems
Teitl crynoFUZZ-IEEE-2013
Cyfnod07 Gorff 201310 Gorff 2013

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