Title: A fuzzy Euclidean taxicab distance-based MCDM approach for optimal personnel selection

Authors: Saloni Pahuja; Rakesh Garg; Ritvik Garg; Supriya Raheja

Addresses: Department of Management Studies, Amity University, Uttar Pradesh, India ' Department of Computer Science and Engineering, Amity University, Uttar Pradesh, India ' Department of Computer Science and Engineering, Manipal University, Jaipur, India ' Department of Computer Science and Engineering, Amity University, Uttar Pradesh, India

Abstract: Personnel selection has a direct impact on the performance of any organisation as it may help to create a right high-performance work culture. A number of different ways have been created and suggested to support the organisations to select the right talent for specific roles. As a result, this paper attempted to propose the effective decision-making in the personnel selection problem by considering it a multi-criteria decision-making problem. Thus, an integrated MCDM approach, namely fuzzy-ETDBA, is proposed to solve the personnel selection problem. The proposed study determines the weights of the evaluation indicators using fuzzy set theory and uses the ETDBA approach for ranking to get the best talent in the organisation.

Keywords: personnel selection; selective hiring; multi-criteria decision making; fuzzy set theory; FST; Euclidean taxicab distance-based approach; ETDBA.

DOI: 10.1504/IJAMS.2024.138641

International Journal of Applied Management Science, 2024 Vol.16 No.2, pp.174 - 193

Received: 07 Sep 2022
Accepted: 14 May 2023
Published online: 22 May 2024 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article