Obtaining ABET student outcome satisfaction from course learning outcome data using fuzzy logic

Abstract

One of the approaches for obtaining the satisfaction data for ABET "Student Outcomes" (SOs) is to transform Course Learning Outcomes (CLOs) satisfaction data obtained through assessment of CLOs to SO satisfaction data. Considering the fuzzy nature of metrics of CLOs and SOs, a Fuzzy Logic algorithm has been proposed to extract SO satisfaction data from the CLO satisfaction data for any given course. The membership functions for the fuzzy variables namely CLOs, SOs and CLO-SO relationship have been defined with an implementable procedure to suit the problem. A set of 24 rules form the rule base of the fuzzy logic algorithm. The algorithm has been implemented and tested in MATLAB. An application example of a real-world problem has been presented.