Title: INTEGRATED DECISION SUPPORT SYSTEM FOR HUMAN RESOURCE SELECTION USING TOPSIS BASED MODELS

Year of Publication: 2014
Page Numbers: 56-63
Authors: Kamaluddeen Magaji Doka, Fadhilah Ahmad, Syadiah Nor Wan Shamsuddin, Norliza Ghazali, Wan Suryani Wan Awang
Conference Name: The Third International Conference on Informatics & Applications (ICIA2014)
- Malaysia

Abstract:


Human Resource Selection (HRS) is considered to be the most important aspect of HR department as it requires fishing best talents from job markets. Decision makers are involved in order to evaluate multi-alternatives with respect to multi-criteria. The data needed for the evaluation process are sometimes crisp and vague in nature. Such circumstances cause difficulty to fairly judge the alternatives based on the selected evaluation criteria. This study aims to design a framework for Integrated Decision Support System based on TOPSIS models for HRS. The IDSS model comprises of Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), Fuzzy TOPSIS and Fuzzy Set theory. Successful integration of these models will provide a platform for DM’s to conduct HRS process assuring fair judgment among applicants.