Personnel Ranking and Selection Problem Solution by Application of KEMIRA Method
Keywords:
multiple criteria decision making, Kemeny median, criteria priority, optimization problemAbstract
In this study KEmeny Median Indicator Rank Accordance (KEMIRA) method is applied for solving personnel ranking and selection problem when there are two subgroups of evaluating criteria. Each stage of KEMIRA method illustrated with the examples. In the first stage Kemeny median method is applied to generalize experts’ opinions for setting criteria priorities. Medians were calculated for all experts opinions generalization and for experts majority opinions generalization. In the second stage criteria weights calculated and alternatives ranking accomplished simultaneously by Indicator Rank Accordance method. The obtained solutions compared with the results received in previous work of authors.References
A. Afshari, M. Mojahed, R.M. Yusuff (2010); Simple additive weighting approach to personnel selection problem, International Journal of Innovation, Management and Technology, 1(5): 511-515.
P. Arezes, M. Neves, S. Teixeira, C. Leão, J. Cunha (2013);Testing thermal comfort of trekking boots: An objective and subjective evaluation. Applied Ergonomics, 44(4): 557-565. http://dx.doi.org/10.1016/j.apergo.2012.11.007
A. Arisha, W. Abo-Hamad (2013); Towards Operations Excellence: Optimising Staff Scheduling For New Emergency Department. Proceedings of the 20th International Annual EurOMA Conference - "Operations Management at the Heart of the Recovery", 9-12 June 2013, (pp. 1-10). Dublin, Ireland.
A. Baležentis, T. Baležentis, W.K.M. Brauers (2012); Personnel selection based on computing with words and fuzzy MULTIMOORA. Expert Systems with Applications, 39(9): 7961-7967. http://dx.doi.org/10.1016/j.eswa.2012.01.100
A. Baležentis, T. Baležentis, W.K.M. Brauers (2012); MULTIMOORA-FG: a multi-objective decision making method for linguistic reasoning with an application to personnel selection. Informatica, 23(2): 173-190.
S. Balli, S. Korukoˇglu (2014); Development of a fuzzy decision support framework for complex multi-attribute decision problems: a case study for the selection of skilful basketball players. Expert Systems, 31(1): 56-69. http://dx.doi.org/10.1111/exsy.12002
J. Bednarik, W. Andreff, S. Popović, D. Jakšić, E. Kolar, G. Jurak (2013); Financial taxonomy of non-governmental sports organizations, Kinesiology, 45(2): 241-251.
J. van den Bergh, J. Beli˙en, P. De Bruecker, E. Demeulemeester, L. De Boeck (2013); Personnel scheduling: A literature review. European Journal of Operational Research, 226(3): 367-385. http://dx.doi.org/10.1016/j.ejor.2012.11.029
C. Chen, P. Pai, W. Hung (2011); Applying linguistic VIKOR and knowledge map in personnel selection. Asia Pacific Management Review, 16(4): 491-502.
L.-C. Cheng, H.-A. Wang (2014); A fuzzy recommender system based on the integration of subjective preferences and objective information, Applied Soft Computing, 18: 290-301. http://dx.doi.org/10.1016/j.asoc.2013.09.004
S. Dadeło (2005); Czynniki determinuj¸ace kompetencje pracowników ochrony na Litwie. AWF Warszawa-Vilnius. [in Polish, abstract in English, in Lithuanian]
S. Dadelo, Z. Turskis, E.K. Zavadskas, R. Dadelien˙e, (2013); Integrated multi-criteria decision making model based on wisdom-of-crowds principle for selection of the group of elite security guards, Archives of Budo, 9(2): 135-147.
S. Dadelo, A. Krylovas, N. Kosareva, E.K. Zavadskas, R. Dadelien˙e (2014); Algorithm of maximizing the set of common solutions for several MCDM problems and it's application for security personnel scheduling, International journal of computers, communications & Control, 9(2): 140-148.
M. Daˇgdeviren (2010); A hybrid multi-criteria decision-making model for personnel selection in manufacturing systems, Journal of Intelligent Manufacturing, 21(4): 451-460. http://dx.doi.org/10.1007/s10845-008-0200-7
A. Dahlstrom, M. Campbell, C. Hewitt (2013); The role of uncertainty and subjective influences on consequence assessment by aquatic biosecurity experts. Journal of Environmental Management, 127(30): 103-113.
M. El-Santawy, R. El-Dean (2012); On using VIKOR for ranking personnel problem. Life Science Journal-Acta, 9(4): 1534-1536.
V. Estivill-Castro (2002); Why so many clustering algorithms - A Position Paper. ACM SIGKDD Explorations Newsletter 4(1): 65-75. http://dx.doi.org/10.1145/568574.568575
J. Fadyl, K. Mcpherson, P. Schlüter, L. Turner-Stokes (2010); Factors contributing to workability for injured workers: literature review and comparison with available measures. Disability and Rehabilitation, 32(14): 1173-1183. http://dx.doi.org/10.3109/09638281003653302
S. Fazli, H. Jafari (2002); Developing a hybrid multi-criteria model for investment in stock exchange. Management Science Letters, 2(2): 457-468, 2002.
B. Garland B, N. Hogan, T. Kelley, B. Kim, E. Lambert E. (2013); To Be or Not to Be Committed: The Effects of Continuance and Affective Commitment on Absenteeism and Turnover Intent among Private Prison Personnel. Journal of Applied Security Research, 8(1): 1-23. http://dx.doi.org/10.1080/19361610.2013.738402
A. Gasiorowska (2014); The relationship between objective and subjective wealth is moderated by financial control and mediated by money anxiety, Journal of Economic Psychology, 43: 64-74. http://dx.doi.org/10.1016/j.joep.2014.04.007
J. Grand, J. Golubovich, A. Ryan, N. Schmitt (2013); The detection and influence of problematic item content in ability tests: An examination of sensitivity review practices for personnel selection test development. Organizational behavior and human decision processes, 121(2): 158-173. http://dx.doi.org/10.1016/j.obhdp.2013.01.009
S. Hashemkhani Zolfani, J. AntucheviÄienË™e (2012); Team member selecting based on AHP and TOPSIS grey. Inzinerine Ekonomika - Engineering Economics, 23(4): 425-434.
S. Hashemkhani Zolfani, N. Rezaeiniya, M. Aghdaie, E.K. Zavadskas (2012); Quality control manager selection based on AHP-COPRAS-G method: a case in Iran. Ekonomska istraživanja - Economic Research, 25(1): 88-104.
M. Kabak (2013); A fuzzy DEMATEL-ANP based multi criteria decision making approach for personnel selection. Journal of Multiple-Valued Logic and Soft Computing, 20(5-6): 571- 593.
M. Kabak, S. Burmaoˇglu, Y. Kazançoˇglu (2012); A fuzzy hybrid MCDM approach for professional selection. Expert Systems with Applications, 39(3): 3516-3525. http://dx.doi.org/10.1016/j.eswa.2011.09.042
A. Kelemenis, D. Askounis, A new TOPSIS-based multi-criteria approach to personnel selection. Expert Systems with Applications, 37(7): 4999-5008, 2010. http://dx.doi.org/10.1016/j.eswa.2009.12.013
J. Kemeny, J. Snell (1963); Mathematical Models in the Social Sciences, New York.
M. Kendall (1970); Rank correlation methods, fourth ed., Charles Griffin & Co., London.
V. KeršulienË™e, Z. Turskis (2013); An Integrated Multi-criteria Group Decision Making Process: Selection of the Chief Accountant. The 2-nd International Scientific conference "Contemporary Issues in Business, Management and Education 2013", Procedia - Social and Behavioral Sciences, 110: 897-904.
G. Kou, Y. Lu, Y. Peng, Y. Shi (2012); Evaluation of classification algorithms using MCDM and rank correlation. International Journal of Information Technology & Decision Making, 11(1): 197-225. http://dx.doi.org/10.1142/S0219622012500095
A. Krylovas, E.K. Zavadskas, N. Kosareva, S. Dadelo (2014); New KEMIRA method for determining criteria priority and weights in solving MCDM problem. International Journal of Information Technology & Decision Making, 13(6): 1119-1133. http://dx.doi.org/10.1142/S0219622014500825
J. Liou, G. Tzeng (2012); Comments on "Multiple criteria decision making (MCDM) methods in economics: an overview". Technological and Economic Development of Economy, 18(4): 672-695. http://dx.doi.org/10.3846/20294913.2012.753489
P. Papsiene, S. Vaitkevicius (2014); Human Resource Assessment Impact to Organization Climate: Case of Lithuanian Public Sector Organizations, Inzinerine Ekonomika - Engineering Economics, 25(2): 223-230.
Y. Peng, G. Kou, G. Wang, Y. Shi (2011); FAMCDM: A Fusion Approach of MCDM Methods to Rank Multiclass Classification Algorithms. Omega, 39(6): 677-689. http://dx.doi.org/10.1016/j.omega.2011.01.009
B. Rouyendegh, T. Erkan (2013); An Application of the fuzzy ELECTRE method for academic staff selection. Human Factors and Ergonomics in Manufacturing & Service Industries, 23(2): 107-115. http://dx.doi.org/10.1002/hfm.20301
B. Rouyendegh, T. Erkan (2012); Selection of academic staff using the fuzzy analytic hierarchy process (FAHP): a pilot study. Tehnicki vjesnik-Technical Gazette, 19(4): 923-929.
A. Salehi, M. Izadikhah (2014); A novel method to extend SAW for decision-making problems with interval data, Decision Science Letters, 3(2): 225-236.
G. Tzeng, J. Huang (2011); Multi Attribute Decision Making: Methods and Applications, CRCPress.
D. Yu, W. Zhang, Y. Xu (2013); Group decision making under hesitant fuzzy environment with application to personnel evaluation, Knowledge-Based Systems 52: 1-10. http://dx.doi.org/10.1016/j.knosys.2013.04.010
E.K. Zavadskas, Z. Turskis, J. Tamošaitiene, V. Marina (2008); Multicriteria selection of project managers by applying grey criteria, Technological and Economic Development of Economy, 14(4): 462-477. http://dx.doi.org/10.3846/1392-8619.2008.14.462-477
E.K. Zavadskas, Z. Turskis (2011); Multiple criteria decision making (MCDM) methods in economics: an overview. Technological and economic development of economy, 17(2): 397- 427. http://dx.doi.org/10.3846/20294913.2011.593291
E.K. Zavadskas, Z. Turskis, S. Kildien˙e (2014); State of art surveys of overviews on MCDM/ MADM methods. Technological and economic development of economy, 20(1): 165-179. http://dx.doi.org/10.3846/20294913.2014.892037
S. Zhang, S. Liu (2011); A GRA-based intuitionistic fuzzy multi-criteria group decision making method for personnel selection. Expert Systems with Applications, 38(9): 11401- 11405. http://dx.doi.org/10.1016/j.eswa.2011.03.012
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