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

R. Mehta
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引用次数: 3

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.
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基于多元模糊逻辑的数字图书馆服务模型用户满意度预测分析
目的探讨基于多元模糊逻辑技术的数字图书馆时效性与有效性定性评价的用户满意度标准。设计/方法/方法本文采用模糊逻辑模型对数字图书馆服务的性能进行了评价。该模型基于模糊逻辑控制,采用多自变量计算用户的动态响应。这些参数在实际场景中具有固有的不确定性,具有模糊语言信息的特点。发现决定数字图书馆部署中用户满意度度量的几个参数表现出隐含的不确定性,这些不确定性可以通过模糊控制系统智能建模。给定所提出的模糊多属性决策框架的样本数据集,利用仿真结果计算模糊输出变量估计中的各种误差性能度量。研究限制/启示考虑的样本数据集的大小相当小。可扩展的真实数据集可用于增强所提出模型的统计效率和准确性。此外,还可以采用进化多目标优化和马尔可夫过程等其他技术来探索影响用户行为的不同参数之间的有效关联,从而促进所提技术的普遍应用。本文采用模糊设计方法,利用数字图书馆服务及其相关的在线资源条款的若干属性来评估它们对用户访问和操作图书馆信息便利性的同步影响。最终用户的满意度对于基于质量的评估是否符合时间限制和数字图书馆的熟练程度至关重要。
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