Perceptual Computer application in Learning Outcome evaluation

The Perceptual Computer (Per-C) is an application of Zadeh's theory of computing with words (CWW) in the field of assisting people to make subjective judgments. This paper describes an application of the Per-C to evaluate Learning Outcomes (LOs) in an outcome-based education (OBE) system. The evaluation problem in this paper is viewed as a hierarchical decision making problem. In the first level of the hierarchy, the crisp score of each assessment is mapped into an interval type-2 fuzzy set (IT2 FS) for each student. The assessments are then aggregated to obtain the performance of each LO. The linguistic weighted power mean (LWPM) is used as the CWW engine, so that some mandatory requirements can be implemented. Finally, by aggregating the performance of all LOs, the final performance is obtained. We also present an example of our proposed Per-C using a fictitious course.