Meenu Chaudhary1, Loveleen Gaur1, NZ Jhanjhi2,*, Mehedi Masud3, Sultan Aljahdali3
Intelligent Automation & Soft Computing, Vol.33, No.2, pp. 1009-1024, 2022, DOI:10.32604/iasc.2022.023417
Abstract Employee categorisation differentiates valuable employees as eighty per cent of profit comes from twenty per cent of employees. Also, retention of all employees is quite challenging and incur a cost. Previous studies have focused on employee churn analysis using various machine learning algorithms but have missed the categorisation of an employee based on accomplishments. This paper provides an approach of categorising employees to quantify the importance of the employees using multi-criteria decision making (MCDM) techniques, i.e., criteria importance through inter-criteria correlation (CRITIC) to assign relative weights to employee accomplishments and fuzzy Measurement Alternatives and Ranking according to the Compromise Solution… More >
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