Selection of IT Personnel through Hybrid Multi-attribute AHP-FLP Approach
Remica Aggarwal, Department of Management, Birla Institute of Technology & Science , Pilani , Rajasthan. India.
Manuscript received on January 01, 2013. | Revised Manuscript received on January 02, 2013. | Manuscript published on January 05, 2013. | PP: 11-18 | Volume-2, Issue-6, January 2013. | Retrieval Number: F1070112612/2013©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The personnel evaluation and selection is an important problem that can considerably affect the future competitiveness and performance of an organization. This paper presents a comprehensive hierarchical structure for selecting and evaluating a right personnel and proposes a new approach called “Analytical Hierarchy Process Weighted Fuzzy Linear Programming Model (AHP-FLP)” for personnel selection based on multiple attributes or criteria. The weights of the various criteria, taken as local weights from a given judgment matrix, are calculated using Analytical Hierarchy Process (AHP) that are also considered as the weights of the fuzzy linear programming model. This new model is compared with the classical AHP method. The study concluded that the AHP-FLP method outperforms the AHP method for selection of personnel with respect to restricted selection criteria. An example demonstrates the feasibility of the presented framework. Drawing on a real case of an Indian company from IT industry, the approach has been used to analyze the selection criteria used in recruitment for different IT roles which differed significantly in professional skills required.
Keywords: Analytic Hierarchy Process, Decision making, Fuzzy linear programming.