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

被引：0

作者：

Cazarez-Castro, Nohe R. ^{[1
]}

Odreman-Vera, Mauricio ^{[1
]}

Cardenas-Maciel, Selene L. ^{[1
]}

Echavarria-Heras, Hector ^{[2
]}

Leal-Ramirez, Cecilia ^{[2
]}

机构：

[1] Inst Tecnol Tijuana, Tecnol Nacl Mexico, Tijuana, Mexico

[2] Ctr Invest Cient & Estudios Super Ensenada, Ensenada, Baja California, Mexico

来源：

COMPUTACION Y SISTEMAS | 2018年 / 22卷 / 02期

关键词：

Cauchy problem; engineering education; fuzzy differential equations; problem-based learning; uncertainty;

D O I：

10.13053/CyS-22-2-2947

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：439 / 449

页数：11

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