Using the Neutrosophic Measurement Technique to Evaluate the Level of Human Resources Performance

Document Type : Research article

Authors

1 Department of Environmental Administrative, Legal and Economic Sciences

2 Department of Educational Technology - College of Education - Arish University, Egypt

3 Department of Communications and Computers - Faculty of Engineering - Mansoura University, Egypt

4 Department of Mathematics and Computer Science, Faculty of Science, Port Said University, Egypt

Abstract

This study aims to evaluate the level of human resource performance in an economic institution working in the field of food industry in Egypt, using the technique of neutrosophic inference that relies on neutrosophic logic. This logic is an extension of fuzzy logic and is characterized by its ability to deal with indeterminate information that carries different degrees of truth, falsehood, neutrality and uncertainty. Computer software was used to apply a neutrosophic inference system to human resource data related to qualifications, experiences, skills, productivity, absence, discipline and others. These data were converted into neutrosophic values using membership, comparison and action functions. Then neutrosophic rules were used to calculate human resource performance scores in terms of truth, falsehood, neutrality and uncertainty. The results of the study showed that the level of human resource performance in the institution was average in general, where the truth score was 0.54, the neutrality score was 0.03 and the uncertainty score was 0.51. According to these results, the study presented some recommendations to improve human resource performance in the institution, such as developing training, motivation, evaluation and reward programs

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