Intelligent shortlisting process for job applicants using fuzzy logic-based profiling
A modified version of shortlisting algorithm is presented to improve the selection process of hiring skilled and competent individuals. This algorithm uses fuzzy logic to quantify the educational background and alignment of the applicants as well as their skills and experience. The proposed algorith...
Saved in:
Main Authors: | Escolar-Jimenez, Caryl Charlene, Matsuzaki, Kichie, Gustilo, Reggie C. |
---|---|
Format: | text |
Published: |
Animo Repository
2019
|
Subjects: | |
Online Access: | https://animorepository.dlsu.edu.ph/faculty_research/1876 https://animorepository.dlsu.edu.ph/context/faculty_research/article/2875/type/native/viewcontent |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | De La Salle University |
Similar Items
-
A neural-fuzzy network approach to employee performance evaluation
by: Escolar-Jimenez, Caryl Charlene, et al.
Published: (2019) -
An analytic hierarchy process approach in the shortlisting of job candidates in recruitment
by: Gustilo, Reggie C., et al.
Published: (2019) -
Enhancing organizational performance through employee training and development using k-means cluster analysis
by: Escolar-Jimenez, Caryl Charlene, et al.
Published: (2019) -
Data-driven decisions in employee compensation utilizing a neuro-fuzzy inference system
by: Escolar-Jimenez, Caryl Charlene, et al.
Published: (2019) -
The effects of job mismatch on employee productivity
by: Roque, Ryan C.
Published: (2023)