A MODEL BASED ON FUZZY LINGUISTIC INFORMATION TO EVALUATE THE QUALITY OF DIGITAL LIBRARIES
F. J. Cabrerizo (),
J. López-Gijón (),
A. A. Ruíz () and
E. Herrera-Viedma ()
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F. J. Cabrerizo: Department of Software Engineering and Computer Systems, Distance Learning University of Spain (UNED), Madrid 28040, Spain
J. López-Gijón: Department of Library Science, University of Granada, Granada 18071, Spain
A. A. Ruíz: Department of Library Science, University of Granada, Granada 18071, Spain
E. Herrera-Viedma: Department of Computer Science and Artificial Intelligence, University of Granada, Granada 18071, Spain
International Journal of Information Technology & Decision Making (IJITDM), 2010, vol. 09, issue 03, 455-472
Abstract:
The Web is changing the information access processes and it is one of the most important information media. Thus, the developments on the Web are having a great influence over the developments on others information access instruments as digital libraries. As the development of digital libraries is to satisfy user need, user satisfaction is essential for the success of a digital library. The aim of this paper is to present a model based on fuzzy linguistic information to evaluate the quality of digital libraries. The quality evaluation of digital libraries is defined using users' perceptions on the quality of digital services provided through their Websites. We assume a fuzzy linguistic modeling to represent the users' perception and apply automatic tools of fuzzy computing with words based on the LOWA and LWA operators to compute global quality evaluations of digital libraries. Additionally, we show an example of application of this model where three Spanish academic digital libraries are evaluated by fifty users.
Keywords: Quality; digital libraries; Website; fuzzy linguistic modeling (search for similar items in EconPapers)
Date: 2010
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Citations: View citations in EconPapers (2)
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Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijitdm:v:09:y:2010:i:03:n:s0219622010003907
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DOI: 10.1142/S0219622010003907
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