Paper Info
Title
An extended LibQUAL+ model based on fuzzy linguistic information
Abstract
LibQUAL+ model is a web-based survey to measure the library service quality according to the users' perceptions. Although it is the most popular method, it presents two major drawbacks: (i) it is devised on cardinal scale to measure the library service quality (from 1 to 9), but, due to the subjectivity, impression and vagueness of the human beings when attempting to qualify phenomena related to human perception, it seems natural that they use words in natural language (linguistic terms) instead of numerical values to provide their preferences, and (ii) it considers that all the users' opinions on the library services are equally important, however, some users should be more influential than others in some questions as they do not play equal roles in measuring library service quality. The aim of this paper is to present an extended LibQUAL+ model based on fuzzy linguistic information overcoming the above drawbacks.
Year
DOI
Venue
2012
10.1007/978-3-642-34620-0_10
MDAI
Keywords
Field
DocType
fuzzy linguistic information,human perception,cardinal scale,library service quality,human being,linguistic term,equal role,natural language,library service,extended libqual
Rule-based machine translation,Computer science,Knowledge management,Artificial intelligence,Vagueness,Service quality,Information retrieval,Subjectivity,Fuzzy logic,Natural language,Library services,Perception,Machine learning
Conference
Citations 
PageRank 
References 
0
0.34
5
Authors
4
Name
Order
Citations
PageRank
Francisco J. Cabrerizo161.80
Ignacio J. Pérez213110.21
Javier López-Gijón3573.91
Enrique Herrera-Viedma413105642.24