APPLYING FUZZY ALGORITHMS TO PREDICT JOB POTENTIALS BASED ON CAPABILITY AND AGE FACTORS OF WORKERS IN CONSTRUCTION

Abstract

This article focuses on applying fuzzy algorithms to predict employment potential in the construction industry based on the factors of skills and age of workers. The construction sector plays a crucial role in the economic development of a country. We gather information on the skills and age of workers in this field and construct a prediction model using fuzzy algorithms. This model provides valuable insights for recruitment and workforce allocation in the construction industry. By leveraging the flexibility and ability to handle uncertain data of fuzzy algorithms, we believe that this article will contribute to optimizing the recruitment process and developing human resources in the construction sector.