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.

中文翻译：

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基于多元模糊逻辑的用户满意度预测分析数字图书馆服务模型

目的

本文旨在基于多元模糊逻辑技术对数字图书馆的时效性和有效性进行定性评估的用户满意度标准进行评价。

设计/方法/方法

在本文中，使用模糊逻辑建模评估数字图书馆服务的性能。这种基于模糊逻辑控制的模型用于通过使用多个自变量来计算用户的动态响应。这些在实际场景中具有固有不确定性的参数具有模糊的语言信息特征。

发现

在数字图书馆的部署中决定用户满意度度量的几个参数表现出隐含的不确定性，可以通过模糊控制系统进行智能建模。给定所提出的模糊多属性决策框架的样本数据集，模拟结果用于计算模糊输出变量估计中的各种误差性能度量。

研究限制/影响

所考虑的样本数据集的大小相当小。可扩展的现实世界数据集可用于加强所提出模型的统计效率和准确性。此外，可以实施其他技术，例如进化多目标优化和马尔可夫过程，以探索影响用户行为的不同参数之间的有效相关性，并促进所提出技术的普遍应用。

原创性/价值

本文采用模糊设计方法，利用与数字图书馆服务和附属在线资源供应相关的几个属性来评估它们对用户访问和操作图书馆信息的便利性的同步影响。最终用户的满意度对于基于质量的评估是否符合数字图书馆的时间限制和熟练程度至关重要。