Abstract：Digital library service model for predictive analysis of user satisfaction based on multivariate fuzzy logic Purpose This paper aims to evaluate the user satisfaction criterion for qualitative assessment of timeliness and efficacy of digital libraries based on the multivariate fuzzy logic techniqueDesignmethodologyapproach In this paperthe performance of digital library services using fuzzy logic modeling are evaluatedThis model based on fuzzy logic control is used to compute the dynamic response of users by using multiple independent variablesThese parameters with inherent uncertainties in practical scenarios are characterized by fuzzy linguistic informationFindings Several parameters determining the user satisfaction metric in the deployment of digital library exhibit implicit uncertainties which can be intelligently modeled by means of fuzzy control systemsGiven the sample data set for the proposed fuzzy multi-attribute decision-making frameworkthe simulation results are used to compute various error performance measures in the estimation of the fuzzy output variablesResearch limitationsimplications The size of the considered sample data set is considerably smallScalable real-world data sets can be used to reinforce the statistical efficiency and accuracy of the proposed modelMoreoverother techniques such as evolutionary multi-objective optimization and the Markovian process can be implemented to explore the efficient correlation between different parameters influencing the usersbehavior and facilitate the general application of the proposed techniqueOriginalityvalue The paper applied a fuzzy design methodology in which several attributes related to the service of digital library and the affiliated online resource provisions are used to assess their synchronous impact on user convenience in accessing and manipulating the library informationEnd-userssatisfaction is crucial for quality-based valuation of compliance with the time limitations and proficiency of digital librariesLibrary AutomationThe fuzzy logic model can be used to automate the service of the digital library to automate the user satisfactionRetrieval and IndexingAlthough it is not clearly mentioned in the articlefuzzy logic technology may also be related to retrieval and indexes to better meet the users inquiriesThis study uses fuzzy logic technology to evaluate the user satisfaction of the digital libraryVague logic is an expert system that uses fuzzy sets and fuzzy rules for reasoning to handle uncertainty and language blurThe fuzzy logic control in this article is used to calculate the dynamic response of the userand considers the inherent uncertainty in the actual situation