Using Fuzzy c-Means for Weighting Different Fuzzy Cognitive Maps

Obiedat, Mamoon; Al-Yousef, Ali; Khasawneh, Ahmad M.; Hamadneh, Nabhan; Aljammal, Ashraf Hamdan

doi:10.14569/ijacsa.2020.0110569

Cited by 3 publications

(1 citation statement)

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“…Web-mining refers to all the techniques aimed at exploring, processing and analysing large masses of information related to a web activity. While the FCM divide numerical data into clusters, it allows the representation of uncertain and imprecise knowledge to the best model reasoning human (Obiedat et al ., 2020). The membership of an object x to a fuzzy subset A is defined by a degree of belonging µA(x) between 0 and 1.…”

Section: Methodsmentioning

confidence: 99%

New perspective of learning objects in e-learning system

Amane

Aissaoui

Berrada

2023

IJILT

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PurposeTogether, learning objects (LOs) and e-pedagogical practices have the potential to improve the performance of e-learning systems in several ways. They can make e-learning more personalised and adaptable, providing students with a more engaging and effective learning experience.Design/methodology/approachThe development of LOs and e-pedagogical practices have significantly influenced and changed the performance of e-learning systems. LOs are self-contained, reusable units of instructional content that create instructional materials, such as online courses, tutorials and assessments. They provide a flexible and modular approach to designing and delivering e-learning content, allowing educators to easily customise and adapt their materials to the needs of their students. e-pedagogical practices refer to the use of technology to enhance and support the teaching and learning process. They include strategies such as online collaboration, gamification and adaptive learning to improve student engagement, motivation and achievement.FindingsTo achieve this objective, this study consists of two main phases. First, the authors extract metadata from LOs using latent semantic analysis algorithms, which are considered a strong tool in web-mining exploration techniques. Second, they identify LOs according to a particular form of similarity using fuzzy c-means (FCM) algorithms. To improve classification accuracy, the FCM is used as a clustering algorithm.Originality/valueFinally, in order to assess the effectiveness of LOs with FCM, a series of experimental studies using a real-world dataset are conducted. The results of this study indicate that the proposed approach exceeds the traditional approach and produces good results.

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Section: Methodsmentioning

confidence: 99%