The application of intuitionistic fuzzy analytic hierarchy process (IF-AHP) in solving personnel selection problem / Che Siti Zaiznena Che Mat Zain, Saffiya Nuralisa Mohd Syahidan and Nur Qamarina Hanim Saidin

• Main Authors: Che Mat Zain, Che Siti Zaiznena, Mohd Syahidan, Saffiya Nuralisa, Saidin, Nur Qamarina Hanim
• Format: Student Project
• Language: English
• Published: 2022
• Subjects: Fuzzy arithmetic; Fuzzy logic
• Online Access: https://ir.uitm.edu.my/id/eprint/79565/1/79565.pdf; https://ir.uitm.edu.my/id/eprint/79565/
• Institution: Universiti Teknologi Mara

This study is focused on the application of Intuitionistic Fuzzy Analytic Hierarchy Process (IF-AHP) in solving personnel selection problem. Personnel selection is a systematic procedure for hiring people for a specific job. This study discusses the problem of a company in choosing the best candidate for the position of Senior Technician. The objectives of this study are to apply the IF-AHP method in solving the personnel selection problem, and to conduct the sensitivity analysis of the IF-AHP model in measuring the consistency of the ranking of personnel in various scenarios. The IF-AHP method is implemented by selecting the best candidate for the position of Senior Technician in an electrical service company. This study considers six criteria which are education level (C1), profiling (C2), communication skill (C3), problem solving skill (C4), management skill (C5), and work experience (C6). There are seven alternatives to be ranked and chosen from. Sensitivity analysis is applied in this problem where twenty-six scenarios are considered, and different weights are assigned to the criteria. The IF-AHP method revealed that A6 is the best candidate while A2 is the least preferred candidate for the position of Senior Technician. The sensitivity analysis results are consistent since most of the criteria revealed that A6 is the best candidate while A2 is the least preferred candidate. To conclude, the IF-AHP method can handle the ambiguity of expert opinions and can increase the accuracy of the assessment in solving this personnel selection problem.