A Fuzzy Multi-Criteria Decision Making Model for IS Student Group Project Assessment

Abstract

To accommodate the criterion-referenced student group project assessment approach, this paper proposes a fuzzy group Multi-Criteria Decision Making (MCDM) model. The proposed model can be used to solve student group project assessment problem in particular and generic MCDM problems in general, where the criteria used are often different and can be scored with multiple preference formats. The proposed fuzzy group MCDM model supports seven different preference formats, including preference ordering, utility vector, linguistic term vector, selected subset, fuzzy selected subset, fuzzy preference relation, and normal preference relation. It has been firstly used in the context of Information Systems (IS) student group project assessment.

A new fuzzy peer assessment methodology for cooperative learning of students

“…The methodologies, as presented in [5,6], can be represented by Eqs. (20) and (21). Firstly, a peer assessment score (i.e., PA), which is the ratio of the actual sum of scores to the highest possible score, is calculated.…”

“…Fuzzy set theory has been used in education assessment [9,[18][19][20][21][22][23]. It is useful to deal with linguistic grades such as "didn't contribute", "willing but not successful", and "average" in a grading system, which involve a substantial amount of fuzziness and vagueness [18].…”

“…It is worth mentioning that fuzzy set theory is an efficient and effective method to represent uncertainties [18,19]. Comparing with methods based on numerical grading scores [6,7,12], fuzzy set theory offers an alternative to linguistic evaluation in which "fuzzy" words, instead of numerals, are used during the assessment procedure [9,[18][19][20][21][22][23]. Besides that, "computing with words", as coined by Zadeh, is also a methodology related to fuzzy set theory, whereby the objects of computation are words and propositions drawn from a natural language [24,25].…”

“…Motivated by the success of fuzzy set theory in education assessment [9,[18][19][20][21][22][23], this paper aims to propose a fuzzy peer assessment methodology that evaluates each student's contribution in a group work. The proposed methodology is a synthesis of perceptual computing (Per-C) [25][26][27][28][29] and a fuzzy ranking algorithm that uses fuzzy preference relations [30].…”

“…Specifically, Per-C is able to handle subjectivity, vagueness, imprecision, and uncertainty while achieving tractability and robustness in modelling human decision-making behaviours [25][26][27][28][29]. Comparing with type-1 fuzzy models [9,[18][19][20][21][22][23], Per-C adopts interval type-2 fuzzy sets (IT2FSs) in tackling a decision making problem [25][26][27][28][29]. IT2FS has more flexibility in preserving and processing uncertainties than type-1 fuzzy set [25].…”