Beliakov, G; James, S. 2011. Citation-based journal ranks: The use of fuzzy measures. FUZZY SETS AND SYSTEMS 167 (1): 101-119

[Eugene Garfield]

Beliakov, G; James, S. 2011. Citation-based journal ranks: The use of fuzzy 
measures. FUZZY SETS AND SYSTEMS 167 (1): 101-119, Sp. Iss. SI.presented 
at AGOP 2009 Conference in Palma, SPAIN, JUN 06-10, 2009.

Author Full Name(s): Beliakov, Gleb; James, Simon
Language: English
Document Type: Proceedings Paper

Author Keywords: Aggregation operators; Citation analysis; Choquet integral; 
Ordinal classification
KeyWords Plus: AGGREGATION OPERATORS; CLASSIFICATION; CONSTRUCTION; 
MONOTONICITY; INDEX

Abstract: This article considers a real-world application of the Choquet 
integral-based classifier to the problem of ranking of scientific journals. We 
attempted to predict rankings given by panels of experts, by using available 
citation indices. We compare the Choquet integral fit by the least absolute 
deviation criterion as a classifier against other ordinal classification methods, 
before interpreting the fuzzy measure weights and indices. Our findings show 
that the journal rankings data set is difficult to model accurately due to 
inconsistencies and lack of monotonicity, but that the Choquet integral still 
performs well as a classifier. (C) 2010 Elsevier B.V. All rights reserved.

Addresses: [Beliakov, Gleb; James, Simon] Deakin Univ, Sch Informat Technol, 
Burwood 3125, Australia
Reprint Address: Beliakov, G, Deakin Univ, Sch Informat Technol, 221 Burwood 
Hwy, Burwood 3125, Australia.

E-mail Address: gleb at deakin.edu.au; sjames at deakin.edu.au
ISSN: 0165-0114
DOI: 10.1016/j.fss.2010.08.011
URL (not open access): http://dx.doi.org/10.1016/j.fss.2010.08.011