Integrating AHP and Genetic Algorithm Model Adopted for Personal Selection
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2013 by IJETT Journal|
|Year of Publication : 2013|
|Authors : Mohammed Fahmy Aly , Hagag M.Abd El-hameed|
Mohammed Fahmy Aly , Hagag M.Abd El-hameed. "Integrating AHP and Genetic Algorithm Model Adopted for Personal Selection". International Journal of Engineering Trends and Technology (IJETT). V6(5):247-256 Dec 2013. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Selection of qualified persons suitable for different organization functions is a key success factor for an organization. The complexity and importance of the problem call for analytical methods rather than intuitive decisions. The personnel selection problem requires the application of multi-criteria decision making (MCDM) methods for robust recruitment. This paper has to objectives; first to proposed a MCDM method for personnel selection system based on Analytic Hierarchy Process and Genetic Algorithm (AHP-GA) and second, to apply this algorithm on a real case from an organization. As related to the first objective, Analytic Hierarchy Process (AHP) is used to solve the MCDM problem. It has been applied in numerous situations with impressive results. However, AHP has been also criticized mainly in priority derivation procedure. One of the main problems in current AHP as priority derivation procedure is; inconsistency of the judgment, accuracy and performance of the prioritization method. To solve the criticism and the AHP problems; this paper proposes more reliable model, AHP-GA. The propose framework combines the power of genetic algorithm (GA) with Analytic Hierarchy Process (AHP). The new model minimizes Euclidian distance of Least Squire Method as objective function. Effectiveness of new proposed model is verified by comparing model results with other prioritization methods in the literature. For the second objective the proposed framework is exploited to solve personal selection problem reported in an earlier study. The AHP-GA can consider the best adequate personnel dealing with the rating of both qualitative and quantitative criteria.
 Dursun, M., & Karsak, E. "A fuzzy MCDM approach for personnel selection" Expert Systems with Applications, Vol.37, pp. 4324–4330, 2010.
 Alvydas Balez entis, Tomas Balez entis, Willem K.M. Brauers "Personnel selection based on computing with words and fuzzy MULTIMOORA" Expert Systems with Applications, Vol. 39, pp. 7961–7967, 2012.
 Zavadskas, E. K., Turskis, Z., Tamošaitiene, J., & Marina, V. "Multi-criteria selection of project managers by applying grey criteria" Technological and Economic Development of Economy, Vol. 14, Issue 4, pp. 462-477, 2008.
 Kelemenis, A., & Askounis, D. A new TOPSIS-based multi-criteria approach to personnel selection. Expert Systems with Applications, Vol.37, pp.4999–5008, 2010.
 Kelemenis, A., Ergazakis, K., & Askounis, D. Support managers’ selection using an extension of fuzzy TOPSIS. Expert Systems with Applications, Vol.38, pp.2774–2782, 2011.
 H.S. Wang, Z.H. Che, Chienwen Wu., Using analytic hierarchy process and particle swarm optimization algorithm for evaluating product plans. Expert Systems with Applications. Vol.37, pp. 1023–1034, 2010.
 I-Tung Yang, Wei-Chih Wang, Tzu-I Yang. Automatic repair of inconsistent pair-wise weighting matrices in analytic hierarchy process. Automation in Construction, Vol.22, pp.290–297, 2012.
 Feng, D. Z., Chen, L. L., & Jiang, M. X.,"Vendor selection in supply chain system: An approach using fuzzy decision and AHP" In International conference on services systems and services management, proceedings of ICSSSM’05, Vol.1, pp.721–725, 2005.
 Chiang, Z.,"A dynamic decision approach for long-term vendor selection based on AHP and BSC" Lecture Notes in Computer Science, Vol.3645, pp.257–265, 2005.
 Lee, A. H. I., Chen, W. C., & Chang, C. J. "A fuzzy AHP and BSC approach for evaluating performance of IT department in the manufacturing industry in Taiwan" Expert System of Application, Vol.34, No.1, pp.96–107, 2008.
 Sha, D. Y., & Che, Z. H. "Virtual integration with a multi-criteria partner selection model for the multi-echelon manufacturing system" International Journal of Advanced Manufacturing Technology, Vol.25, pp.793–802, 2006a.
 Sha, D. Y., & Che, Z. H. "Supply chain network design: Partner selection and production/distribution planning using a systematic model" Journal of the Operational Research Society, Vol.57, pp.52–62, 2006b.
 Che, Z. H., Wang, H. S., & Sha, D. Y. " A multi-criterion interaction oriented model with proportional rule for designing supply chain networks"Expert Systems with Applications, Vol. 33, pp.1042–1053, 2007.
 önüt, S., & Soner, S. "Transshipment site selection using the AHP and TOPSIS approaches under fuzzy environment" Waste Management, Vol. 9, pp. 1552- 1559, 2008.
 Xinyang Deng, Yong Hu, Yong Deng, &Sankaran Mahadevan,"Supplier selection using AHP methodology extended by D numbers" Expert Systems with Applications Vol.41, pp. 156–167, 2013.
 Dr. P. Parthiban , H.abdul Zubar, Chintamani P.Garge, "A Multi Criteria Decision making Approach for suppliers selection"Procedia Engineering Vol.38,pp.2312 – 2328, 2012.
 Junyi Chai, James N.K. Liu, Eric W.T. Ngai"Application of decision-making techniques in supplier selection: A systematic review of literature" Expert Systems with Applications Vol.40,pp. 3872–3885, 2013.
 Bojan Srdjevic, “Combining Different Prioritization Methods in the Analytic Hierarchy Process Synthesis” Computers and Operations Research, Vol.32, No.7, pp.1897-1919, 2005.
 Ying-Ming, W., Celik P. and Ying L., “A Linear Programming Method for Generating the Most Favorable Weights from a Pair-Wise Comparison Matrix” Computers and Operations Research, Vol.35, No.12, pp.3918-3930, 2008.
 Ramakrishnan Ramanathan, “Data Envelopment Analysis for Weight Derivation and Aggregation in the Analytic Hierarchy Process”Computers and Operations Research, Vol.33, No.5, pp.1289-1307, 2006.
 Holland, J.H.: Adaptation in Natural and Artificial Systems. University of Michigan Press, Ann Arbor (1975)
 Goldberg, D.E.: Genetic Algorithms in Search, Optimization, and Machine Learning. Addison-Wesley Longman Publishing Co., Inc., Boston (1989)
 Wang, Y.: Using genetic algorithm methods to solve course scheduling problems. Expert Systems with Applications. Vol.25, No.1,pp. 39–50, 2003.
 Wang, J., Chang, T., Chen, J.: An enhanced genetic algorithm for bi-objective pump scheduling in water supply. Expert Systems with Applications. Vol.36, No.7, pp. 10249 –10258, 2009.
 Mohamad, M.S., Omatu, S., Deris, S., Misman, M.F., Yoshioka, M.: A multi-objective strategy in genetic algorithms for gene selection of gene expression data. Artificial Life and Robotics Vol.13, No.2, pp.410–413, 2009.
 Fong-Ching, Y. and Chaochang, C., “A Hierarchical Design of Case-Based Reasoning in the Balanced Scorecard Application”Expert Systems with Applications, Vol.36, No.1, pp.333-342, 2009.
 Pavlos, D. and Nikolaos, M., “A Genetic Approach for Strategic Resource Allocation Planning”, Computer Management Science, Vol.6, No.3, pp.269-280, 2009.
 Excerpted from Nancy R. Tague’s The Quality Toolbox. ASQ. Second Edition, ASQ Quality Press, 2004, pages 219-223[Online].
 Hambali, A., Mohd, S., Ismail N. and Nukman, Y., “Use of Analytical Hierarchy Process (AHP) for Selecting the Best Design Concept”, Journal Technology, Vol.49, No.1, pp.1-18, 2008.
 Zakaria, N. F., Mohamed, H. D., and Razak AB, “Deriving Priority in AHP using Evolutionary Computing Approach”, WSEAS transactions on information science and applications, Vol.7, No.5, pp.714-724, 2010.
 Alireza Afshari, Majid Mojahed and Rosnah Mohd Yusuff,”Simple Additive Weighting approach to Personnel Selection problem”, International Journal of Innovation, Management and Technology, Vol. 1, No. 5, 2010.
 Delgado-Galván, X., Pérez-García, R., Izquierdo, J. and Mora-Rodríguez, J. “An Analytic Hierarchy Process for Assessing Externalities in Water Leakage Management”Mathematical and Computer Modelling, Vol.52, Nos.7-8, pp.1194-1202, 2010.
Multi-criteria Decision Making (MCDM), Analytic Hierarchy Process (AHP), Genetic Algorithm (GA), Personal Selection.