详细信息
A symbol-based fuzzy decision-making approach to evaluate the user satisfaction on services in academic digital libraries ( SCI-EXPANDED收录) 被引量:2
文献类型:期刊文献
英文题名:A symbol-based fuzzy decision-making approach to evaluate the user satisfaction on services in academic digital libraries
作者:Yue, C.[1]
机构:[1]Guangdong Ocean Univ, Coll Math & Comp Sci, Zhanjiang, Guangdong, Peoples R China
年份:2019
卷号:16
期号:2
起止页码:73
外文期刊名:IRANIAN JOURNAL OF FUZZY SYSTEMS
收录:SCI-EXPANDED(收录号:WOS:000462748700006)、、Scopus(收录号:2-s2.0-85064520033)、WOS
基金:The author would like to thank the editors and the anonymous reviewers for their insightful and constructive comments and suggestions that have led to this improved version of the paper. This work was supported partially by the Young Creative Talents Project from Department of Education of Guangdong Province (No. 2016KQNCX064), the Project of Enhancing School with Innovation of Guangdong Ocean University (No. GDOU2017052802) and the Monitoring System Managed by Underwater Robot for Deep Sea Cage Culture (No. GDOU2017052605).
语种:英文
外文关键词:User satisfaction; academic digital library; group decision-making; intuitionistic fuzzy information; symbol information
外文摘要:Academic libraries play a significant role in providing core services that include research, teaching and learning. User satisfaction is an important indicator for evaluating the performance of library service. This paper develops a method for measuring the user satisfaction in a group decision-making environment. First, the performance of service is evaluated by using questionnaire survey. The scores are recorded by using some simple symbols. Second, the symbol information along with nonresponse items in questionnaires are fused into an intuitionistic fuzzy information. Third, an experimental analysis is provided to illustrate the validity and effectiveness of introduced method in this paper. Finally, the theoretical and practical implications of current model are discussed, the important limitations are recognized, and some main advantages and future research directions of current method are shown in conclusions.
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