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Connecting the Educational and Fuzzy Worlds

Connecting the Educational and Fuzzy Worlds

Copyright: © 2015 |Pages: 19
ISBN13: 9781466687059|ISBN10: 1466687053|EISBN13: 9781466687066
DOI: 10.4018/978-1-4666-8705-9.ch009
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MLA

Sofia J. Hadjileontiadou, et al. "Connecting the Educational and Fuzzy Worlds." Fuzzy Logic-Based Modeling in Collaborative and Blended Learning, IGI Global, 2015, pp.241-259. https://doi.org/10.4018/978-1-4666-8705-9.ch009

APA

S. Hadjileontiadou, S. Dias, J. Diniz, & L. Hadjileontiadis (2015). Connecting the Educational and Fuzzy Worlds. IGI Global. https://doi.org/10.4018/978-1-4666-8705-9.ch009

Chicago

Sofia J. Hadjileontiadou, et al. "Connecting the Educational and Fuzzy Worlds." In Fuzzy Logic-Based Modeling in Collaborative and Blended Learning. Hershey, PA: IGI Global, 2015. https://doi.org/10.4018/978-1-4666-8705-9.ch009

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Abstract

In recent years, several researchers have proposed many fuzzy inference systems for learners' learning progress inference and evaluation. Fuzzy logic-based knowledge representation provides a functional way that achieves to capture and infer from even lexically imprecise and/or uncertain meanings of everyday type facts within the learning process. Part III begins with this introductory chapter that connects the fuzzy with educational world, presenting a review of fuzzy logic-based methodologies/applications related with the education domain. The main methodological approaches presented in Part II, such as Fuzzy Inference System (FIS), Adaptive Neuro-Fuzzy Inference System (ANFIS), Intuitionistic Fuzzy Inference System (IFIS), and Fuzzy Cognitive Map (FCM), are considered here from their functionality within the learning context, as a means to better understand the coexistence of both worlds. Analytical fuzzy logic-based applications and in-depth exploitation of the way each one is placed within the educational context are presented in the rest chapters of Part III.

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