Applied Mathematical Sciences, Vol. 9, 2015, no. 129, 6403 - 6414 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/10.12988/ams.2015.53288 Integrated Decision Support System for Human Resource Selection Using TOPSIS Based Models Kamaluddeen Magaji Doka, Fadhilah Ahmad * , Syadiah Nor Wan Shamsuddin, Wan Suryani Wan Awang and Norliza Ghazali Faculty of Informatics and Computing Universiti Sultan Zainal Abidin (UniSZA) Tembila Campus, 22200 Besut, Terengganu, Malaysia * Corresponding author Copyright © 2015 Kamaluddeen Magaji Doka et al. This article is distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Abstract Among the responsibilities of Human Resource Department is selecting the right people for the available job. This task tends to be the most challenging due to necessity to make tough decisions under uncertainty. To minimize error occurrences and complexity of the selection process, Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method is adopted together with fuzzy TOPSIS and Fuzzy set theory to provide solutions to Multi-criteria decision making (MCDM) problems associated with human resource selection (HRS) process. The proposed framework of Integrated Decision Support System for Human Resource Selection using TOPSIS based models was constructed and presented in this paper. Keywords: Human Resource Selection, Decision Support System, TOPSIS, Fuzzy TOPSIS, Fuzzy Set theory 1. Introduction Human Resource Selection (HRS) is considered to be a process carried out by an organization to recruit new potential employees, thereby contributing greatly in achieving company’s objectives [1]. Every organization is defined according to