Fuzzy Differential Equations as a Tool for Teaching Uncertainty in Engineering and Science



Document title: Fuzzy Differential Equations as a Tool for Teaching Uncertainty in Engineering and Science
Journal: Computación y sistemas
Database:
System number: 000560140
ISSN: 1405-5546
Authors: 1
1
1
2
2
Institutions: 1Tecnológico Nacional de México, Instituto Tecnólogico de Tijuana, Tijuana. México
2Centro de Investigación Científica y de Estudios Superiores de Ensenada, Ensenada, Baja California. México
Year:
Season: Abr-Jun
Volumen: 22
Number: 2
Pages: 439-449
Country: México
Language: Inglés
Document type: Artículo
English abstract This paper presents fuzzy differential equations in the context of teaching uncertainty in engineering and science. Moreover, the Cauchy problem is discussed as case of study to understand the importance of fuzzy differential equations as a natural way to model uncertainty in dynamical systems. The specific case of study reported in this paper is the Malthusian population dynamic model, which is solved by students both via analytical as well as computational approaches as a result of applying problem-based learning teaching principles, and allowing to introduce the importance of uncertainty.
Disciplines: Educación
Keyword: Didáctica,
Didáctica
Keyword: Cauchy problem,
Engineering education,
Fuzzy differential equations,
Problem-based learning,
Uncertainty,
Didactics
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