Engineering Commons^™

Data‐Enabled Cognitive Modeling: Validating Student Engineers’ Fuzzy Design‐Based Decision‐Making In A Virtual Design Problem, Golnaz Arastoopour Irgens, Naomi C. Chesler, Jeffrey Linderoth, David Williamson Shaffer

Golnaz Arastoopour Irgens

The ability of future engineering professionals to solve complex real‐world problems depends on their design education and training. Because engineers engage with open‐ended problems in which there are unknown parameters and multiple competing objectives, they engage in fuzzy decision‐making, a method of making decisions that takes into account inherent imprecisions and uncertainties in the real world. In the design‐based decision‐making field, few studies have applied fuzzy decision‐making models to actual decision‐making process data. Thus, in this study, we use datasets on student decision‐making processes to validate approximate fuzzy models of student decision‐making, which we call data‐enabled cognitive modeling. The results …