Digital library service model for predictive analysis of user satisfaction based on multivariate fuzzy logic

Abstract

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 technique. Design/methodology/approach In this paper, the performance of digital library services using fuzzy logic modeling are evaluated. This model based on fuzzy logic control is used to compute the dynamic response of users by using multiple independent variables. These parameters with inherent uncertainties in practical scenarios are characterized by fuzzy linguistic information. Findings 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 systems. Given the sample data set for the proposed fuzzy multi-attribute decision-making framework, the simulation results are used to compute various error performance measures in the estimation of the fuzzy output variables. Research limitations/implications The size of the considered sample data set is considerably small. Scalable real-world data sets can be used to reinforce the statistical efficiency and accuracy of the proposed model. Moreover, other techniques such as evolutionary multi-objective optimization and the Markovian process can be implemented to explore the efficient correlation between different parameters influencing the users’ behavior and facilitate the general application of the proposed technique. Originality/value 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 information. End-users’ satisfaction is crucial for quality-based valuation of compliance with the time limitations and proficiency of digital libraries.

Factors affecting the adoption of integrated semantic digital libraries (SDLs): a systematic review

“…Development of repositories, storage of educational materials, smart library services, digital resource sharing, and rapid location of resources within a taxonomic structure provided perceived usefulness to the library professionals to revamp library services through the adoption of semantic technologies (Garcia et al, 2017;Fox, 2006;Khan et al, 2022). SDLs provided controlled access to clients according to their credentials (Dasgupta et al, 2015); information access tools are provided to the end-users (Mehta, 2021); documents are preserved efficiently (Lee, 2011); the interaction is done with a larger set of users (Morato et al, 2013). Factors of low cost, high performance, scalability (Hsu et al, 2014); value-added services, user-centric interface (Solomou and Koutsomitropoulos, 2015); efficient retrieval, high precision, intelligent platform (Su, 2021) enhanced peer communication and sharing knowledge.…”

“…Integrated semantic digital libraries provide human-computer interaction and enable patrons to retrieve required documents via user-friendly interfaces (Garcia et al, 2017). Fuzzy techniques are used to assess the information needs of the users and software quality are ensured for the dissemination of quick innovative services (Mehta, 2021).…”

Performance Analysis of Fuzzy Logic-Based Digital Library Architecture Using n-ary Huffman Coding, Regression and Fairness Measures

“…The model is verified by varying the size of autonomous data repository to a maximal value of 50. The sample dataset comprising of a wide range of independent library attributes represented in Table 3 is used for the validation process of the proposed fuzzy-based model [13]. The last two columns of the table delineate the actual output and the corresponding approximation of the predicted output value obtained using the presented fuzzy estimation.…”

“…In our previous work [13], the efficiency of digital libraries using multiple-attribute fuzzy logic modeling scheme is computed through the estimation of various error performance predictors. The online learning content and transactional data analysis for an educational digital library is performed to ensure autonomic recommendation with high level of accuracy [11].…”

Social Service Model and Value Evaluation of Libraries under Sharing Economy

“…Public libraries provide public welfare services, which vary from region to region [17][18][19][20]. Based on the theories of public products and fairness, Karna et al [21] quantified and empirically analyzed problems like the supply equalization of public libraries and formulated a solution from both input and output.…”