Abstract
The multiple criteria decision-making method (MCDM) VIKOR is based as the aggregating function representing “closeness to the ideal”, which originate in the compromise programming method. Linear normalization is used in VIKOR to eliminate the units of criterion functions. The VIKOR method preceded by Fuzzy AHP which usually calculates the weights of criteria in continuity, determines a compromise solution, presenting the maximum “group utility” for the “majority” and a minimum of an individual regret for the “opponent”. In this paper the authors have shown single objective optimization model first, then balance it with multiple objectives in management process. As for case study, construction project management has been considered. It involves objectives as duration, cost, quality, resource leveling etc. On the basis of that, the paper has proposed an integrated fuzzy multi-objective optimization model of duration, cost, quality and resource leveling.
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References
Duckstein, L., Opricovic, S.: Multiobjective optimization in river basin development. Water Resource Research 16(1), 14–20 (1980)
Yu, P.L.: A class of solutions for group decision problems. Management Science 19(8), 936–946 (1973)
Opricovic, S., Tzeng, G.: Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. European Journal of Operational Research 156, 445–455 (2004)
Zeleny, M.: Multiple Criteria Decision Making. McGraw-Hill, New York (1982)
Opricovic, S.: Multicriteria Optimization of Civil Engineering Systems. Faculty of Civil Engineering, Belgrade (1998)
Bakshi, T., Sarkar, B.: MCA Based Performance Evaluation of Project Selection. International Journal of Software Engineering & Applications (IJSEA) 2(2), 14–22 (2011)
Bakshi, T., Sinharay, A., Sarkar, B.: Exploratory Analysis of Project Selection through MCDM. In: ICOQM-10, pp. 128–131 (2011)
Chang, D.-Y.: Theory and Methodology Applications of the extent analysis method on fuzzy AHP. European Journal of Operational Research 95, 649–655 (1996)
Pavlicic, D.: Normalization affects the results of MADM methods. Yugoslav Journal of Operations Research (YU-JOR) 11(2), 251–265 (2001)
Olson, D.L.: Comparison of three multicriteria methods to predict know outcomes. European Journal of Operational Research 130(3), 576–587 (2001)
Bakshi, T., Sinharay, A.: An Integrated Novel Approach in MCDM under Fuzziness. International Journal of Computer & Communication Technology 2, 36–43 (2011)
Huang, J., Wang, X., Zhou,Y.: Multi-objective Decision Optimization Schedule Based on Improved TOPSIS, 978-4244-4639-1/09/$25.00@ 2009 IEEE (2009)
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Bakshi, T., Sinharay, A., Sarkar, B., Sanyal, S.k. (2011). MCDM Based Project Selection by F-AHP & VIKOR. In: Panigrahi, B.K., Suganthan, P.N., Das, S., Satapathy, S.C. (eds) Swarm, Evolutionary, and Memetic Computing. SEMCCO 2011. Lecture Notes in Computer Science, vol 7076. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27172-4_47
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DOI: https://doi.org/10.1007/978-3-642-27172-4_47
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