This paper focuses on the measurement of justice perception using fuzzy logic. The measurement of justice perception is not a simple matter, because it is a subjective, complex, vague and ambiguous construct, which is also involved with the judgmental process. Therefore, the low accuracy and ...
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This paper focuses on the measurement of justice perception using fuzzy logic. The measurement of justice perception is not a simple matter, because it is a subjective, complex, vague and ambiguous construct, which is also involved with the judgmental process. Therefore, the low accuracy and reliability of the measurement are among the main concerns in using justice perception measurements. The object of this paper was to develop a new method for measuring justice perception in the frame of the Fairness Theory with three types of fairness: distributive, procedural and interactional. It was performed in a Iranian Bank (Melat Bank) with the aim of decreasing the measurement bias and increasing its reliability. The outputs of this fuzzy measurement are significantly different to those of the other conventional methods. The reliability and the construct validity of this fuzzy measurement were confirmed by statistical results. Comparison of the means of the crisp and fuzzy scores using two-paired T- test showed a significant difference between the means of crisp and fuzzy scores in the distributive, interactional and general justice, but there was no not significant difference in this regard in the procedural justice. It also could represent the latent factors of human cognitive judgment and, therefore, contribute to improve the justice perception process in organizations.
