Knowledge and data engineering for analyzing the quality of education using fuzzy logic

Bogart Yail Márquez; Sergio Valdés-Pasarón; Luis Gaxiola

doi:10.1117/12.906143

28 October 2011 Knowledge and data engineering for analyzing the quality of education using fuzzy logic

Bogart Yail Márquez, Sergio Valdés-Pasarón, Luis Gaxiola

Proceedings Volume 8205, 2011 International Conference on Photonics, 3D-Imaging, and Visualization; 820516 (2011) https://doi.org/10.1117/12.906143
Event: 2011 International Conference on Photonics, 3D-imaging, and Visualization, 2011, Guangzhou, China

Abstract

The quality of education has awakened the interest in researchers worldwide because it is an important aspect in solving the problems in education which can be studied as a complex social system; and of course, there are several ways to model a complex social system. The objective of this paper is to propose a model that deals with problems in education among knowledge societies in situations where conventional analysis is insufficient in describing the intricacies of realistic social phenomena and social actors. We use the Distributed Agency methodology that requires the use of several computational techniques and interdisciplinary theories.

Citation Download Citation

Bogart Yail Márquez, Sergio Valdés-Pasarón, and Luis Gaxiola "Knowledge and data engineering for analyzing the quality of education using fuzzy logic", Proc. SPIE 8205, 2011 International Conference on Photonics, 3D-Imaging, and Visualization, 820516 (28 October 2011); https://doi.org/10.1117/12.906143

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