Abstract
Research findings on computational int elligence are discussed in a new report. According to news reporting originating from Tamil Nadu, India, by NewsRx correspondents, research stated, "Multi-crite ria decision making process has been one of the fastest growing areas during the last decades depending on the change in the business sector. Multi-criteria dec ision making is the most important branch of operation research by which people make complex decision daily life." The news reporters obtained a quote from the research from Kalasalingam Academy of Research and Education (KARE): "The major steps in the decision- making appro ach are selecting the most preferred alternative for the decision-maker, ranking alternatives in order of importance for selection problems, and screening alter natives for the final decision. Employees are an important element of a company that determines its progress. Conventional (manual) recruitment methods are vuln erable to non-technical factors, such as frequent duplication or invalid data. I n this study, simple additive weighting and profile matching are proposed to sol ve the employee selection problem. This study was conducted at the (UPT) Career Development and Entrepreneurship Universitas Brawijaya Malang using data collect ed from written test selection in 2019. The effectiveness of both methods was an alyzed using confusion matrix. The SAW method provides an accuracy rate of 94.7% , a precision rate of 87.5%, Recall rate of 91.3% and F-measure rate of 89.4%."
NETL
NSTL