A neural-fuzzy network approach to employee performance evaluation

• المؤلفون الرئيسيون: Escolar-Jimenez, Caryl Charlene, Matsuzaki, Kichie, Gustilo, Reggie C.
• التنسيق: text
• منشور في: Animo Repository 2019
• الموضوعات: Employees—Rating of > Automation; Employees—Training of; Artificial intelligence; Electrical and Computer Engineering; Human Resources Management
• الوصول للمادة أونلاين: https://animorepository.dlsu.edu.ph/faculty_research/1875; https://animorepository.dlsu.edu.ph/context/faculty_research/article/2874/type/native/viewcontent

This neuro -fuzzy system enables the algorithm to identify performing and non-performing employees as organizations currently use several traditional employee evaluation performance methods that utilizes different approaches that are inaccurate and subjective by nature and usually deficient in appro...