Fuzzy Logic in Engineering Education
Fuzzy logic, which was invented in 1960’s, in response to emerging needs to deal with complex techno-social concepts, is becoming more and more relevant to today’s problems. Nowadays, fuzzy logic should not only become a part of the engineering curriculum but also a part of the engineering education standards. For example a fuzzy approach can be used in evaluating graduate attributes (Gas). Most graduate attributes are fuzzy and need to be evaluated using a fuzzy logic methodology.
Proper definition and scaling of fuzzy attributes can provide a common language, through which educators, industry, and regulators can communicate and collaborate more effectively in the process of assigning jobs to engineers with attributes which best fit the task. Also, by using a fuzzy method, the uncertainty of attributes is neither magnified nor dampened in the analytical process (contrary to most conventional approaches).
A properly defined fuzzy metric for GAs can provide flexibility in the implementation of the system, while reducing the overall errors in evaluation. Graduate attributes are proposed to be divided into three major classes or spaces (i.e. knowledge, social and ethical), each consisting of a number of fuzzy attributes and sub-attributes, which can be summed up with appropriate weighting factors. A neural network engine can be used to find the optimal weighting factors.
Link to full article:
Ghomshei, Mori. 2018.