@article{shpolianskaya2019fuzzy,
  title = {Fuzzy Model for Educational Portal  Quality Assessment},
  author = {Irina Shpolianskaya and Alexei Dolzhenko and Anna Prokhorova and Sergei Glushenko},
  year = 2019,
  url = {https://ibimapublishing.com/articles/JSSD/2019/826182/},
  journal = {Journal of Software and Systems Development},
  volume = 2019,
  pages = 11,
  doi = 10.5171/2019.826182,
  abstract = {Web technologies present incredible opportunities for educational institutions. The academic portal becomes a common environment for the presentation and promotion of the universities educational and scientific competences. The educational portal provides a solution for aggregating content, information systems and educational services of the university for presentation to the end user in the required format. Evaluation of the educational website quality is a prerequisite for its continuous improvement. The quality of the website is quite important in generating customer satisfaction and loyalty. Hence, modeling the educational web portal structure based on the analysis of user perceptions and preferences becomes especially relevant. The aim of this study is to identify the main quality characteristics of the educational website that determine the effective functioning of the system. The problem of educational website quality assessment is presented as a decision-making problem under conditions of uncertainty. The paper introduces a new approach to the problem of educational portal quality evaluation by using fuzzy preference relations and linguistic variables. The use of expert methods and fuzzy logic is proposed to assess the quality of the educational website and the satisfaction of its users. The fuzzy logic technique helps to integrate the effect of qualitative and quantitative indicators and assess user expectations about website quality and how web system meets the user’s requirements.
 },
  keywords = {Educational web portal, website quality assessment, fuzzy logic technique, expert methods.},
  note = Article ID: 826182
}
