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Journal of Intelligent & Fuzzy Systems - Volume 29, issue 3

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Price: EUR 315.00
ISSN 1064-1246 (P)
ISSN 1875-8967 (E)

Impact Factor 2024: 1.7

The purpose of the Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology is to foster advancements of knowledge and help disseminate results concerning recent applications and case studies in the areas of fuzzy logic, intelligent systems, and web-based applications among working professionals and professionals in education and research, covering a broad cross-section of technical disciplines.

The journal will publish original articles on current and potential applications, case studies, and education in intelligent systems, fuzzy systems, and web-based systems for engineering and other technical fields in science and technology. The journal focuses on the disciplines of computer science, electrical engineering, manufacturing engineering, industrial engineering, chemical engineering, mechanical engineering, civil engineering, engineering management, bioengineering, and biomedical engineering. The scope of the journal also includes developing technologies in mathematics, operations research, technology management, the hard and soft sciences, and technical, social and environmental issues.

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A comparative study of the use of fuzzy logic in e-learning systems

Authors: Guijarro-Mata-García, M. | Guijarro, M. | Fuentes-Fernández, R.

Article Type: Research Article

Abstract: Currently, there is an increasing interest in educational data mining. E-learning systems have become pervasive in educational contexts, and they are more necessary than ever in order to get relevant information on students and learning activities. However, the amount of raw data produced makes unfeasible its manual processing, so (semi-)automated solutions are required. In this context, the paradigms of data mining and artificial intelligence offer multiple techniques to provide these solutions. Among these techniques, this work makes a review of published and tested techniques with satisfactory results under the different aspects of fuzzy logic. The choice of the fuzzy logic … Show more

Keywords: E-learning, fuzzy logic, data mining, classifiers, groups modelling, collaborative work

DOI: 10.3233/IFS-151718

Citation: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 3, pp. 1241-1249, 2015

Price: EUR 27.50
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