An Implementation of the Entropy Method for Determining Weighing Coefficients in a Multicriteria Optimization of Public Procurements
DOI:
https://doi.org/10.31181/sems31202528zKeywords:
Multicriteria Decision Making, Determining Criteria Weighs, Entropy, Management, Public ProcurementsAbstract
Determining the weights of criteria is a key problem in multicriteria analysis models. The problem of choosing an appropriate method of determining criteria weights in problems of multicriteria decision-making (MCDM) is a very important stage. Most authors suggest classifying the models of determining the weights of criteria into subjective and objective models. This paper presents the application of the Entropy method for determining criteria weights. The Entropy method is tested in the MCDM problem in public procurements. The results show that the Entropy method shouldn't be used as a correction method because in most cases, the decision maker Also shows that applying the Entropy method in MCDM problems for determining weighing coefficients can be counterproductive.
References
Borović, S., & Tanašćuk, N. (2004). Automatic decision support in a tender process. Vojnotehnički Glasnik, 52(1), 9-25.
Plećić, K., Žižović, M., Marković, M., & Đoković, F. (2018). A multi-criteria approach to bid selection in public procurement. Industrija, 46(1).
Zizovic, M. M., Albijanić, M., Jovanović, V., & Žižović, M. (2019). A new method of multi-criteria analysis for evaluation and decision making by dominant criterion. Informatica, 30(4), 819-832. http://dx.doi.org/10.15388/Informatica.2019.231.
Csáki, C., & Adam, F. (2010). Public procurement as regulated decision making problem: Challenges for DSS. In Bridging the Socio-technical Gap in Decision Support Systems (pp. 431-442). IOS Press.
Çelen, A. (2014). Comparative analysis of normalization procedures in TOPSIS method: with an application to Turkish deposit banking market. Informatica, 25(2), 185-208. https://doi.org/10.15388/Informatica.2014.10.
Jahan, A., Mustapha, F., Sapuan, S. M., Ismail, M. Y., & Bahraminasab, M. (2012). A framework for weighting of criteria in ranking stage of material selection process. The International Journal of Advanced Manufacturing Technology, 58, 411-420. https://doi.org/10.1007/s00170-011-3366-7.
Jin Lin, S. C., Ali, A. S., & Alias, A. B. (2015). Analytic hierarchy process decision-making framework for procurement strategy selection in building maintenance work. Journal of Performance of Constructed Facilities, 29(2), 04014050. https://doi.org/10.1061/(ASCE)CF.1943-5509.0000529.
Shannon, C. E. (1948). A mathematical theory of communication. The Bell System Technical Journal, 27(3), 379-423. https://doi.org/10.1002/j.1538-7305.1948.tb01338.x.
Saaty, R. W. (1987). The analytic hierarchy process—what it is and how it is used. Mathematical Modelling, 9(3-5), 161-176. https://doi.org/10.1016/0270-0255(87)90473-8.
Milićević, M. R., & Župac, G. Ž. (2012). Subjective approach to the determination of criteria weights. Vojnotehnički Glasnik, 60(2), 48-70. https://doi.org/10.2298/vojtehg1202048.
Kizielewicz, B., & Sałabun, W. (2024). SITW Method: A New Approach to Re-identifying Multi-criteria Weights in Complex Decision Analysis. Spectrum of Mechanical Engineering and Operational Research, 1(1), 215-226. https://doi.org/10.31181/smeor11202419.
Hwang, C. L., Yoon, K., Hwang, C. L., & Yoon, K. (1981). Methods for multiple attribute decision making. Multiple attribute decision making: methods and applications a state-of-the-art survey, pp. 58-191. https://doi.org/10.1007/978-3-642-48318-9_3.
Jahan, A., Edwards, K. L., & Bahraminasab, M. (2016). Multi-criteria decision analysis for supporting the selection of engineering materials in product design. Butterworth-Heinemann.
Živković, M., Milosavljević, M. M., & Žižović, M. (2016). Multicriteria approach to public procurement for technical sector in Serbian public companies. Fiability & Durability/Fiabilitate si Durabilitate, 1, 181-187.
Kousar, S., & Kausar, N. (2024). Multi-Criteria Decision-Making for Sustainable Agritourism: An Integrated Fuzzy-Rough Approach. Spectrum of Operational Research, 2(1), 134-150. https://doi.org/10.31181/sor21202515.
Kumar, R. (2024). Global Trends and Research Patterns in Financial Literacy and Behavior: A Bibliometric Analysis. Management Science Advances, 2(1), 1-18. https://doi.org/10.31181/msa2120256.
Trung, D. D. (2022). Development of data normalization methods for multi-criteria decision making: applying for MARCOS method. Manufacturing Review, 9, 22. https://doi.org/10.1051/mfreview/2022019.
Vafaei, N., Ribeiro, R. A., & Camarinha-Matos, L. M. (2016). Normalization techniques for multi-criteria decision making: analytical hierarchy process case study. In Technological innovation for cyber-physical systems: 7th IFIP WG 5.5/SOCOLNET advanced doctoral conference on computing, electrical and industrial systems, DoCEIS 2016, Costa de Caparica, Portugal, April 11–13, 2016, Proceedings 7 (pp. 261-269). Springer International Publishing. https://doi.org/10.1007/978-3-319-31165-4_26.
Yüksel, S., & Dinçer, H. (2024). A Decision-Making Framework for the Development of Molten-Salt Reactors: Prioritizing Environmental and Technological Factors. Journal of Soft Computing and Decision Analytics, 3(1), 18-25. https://doi.org/10.31181/jscda31202547.
Abbas, Z., Rafiq, M. Y., Hasnain, J., Mustafa, G. ., & Arsalan, M. S. (2024). Enhanced Thermal Study in Hybrid Nanofluid Flow through a Channel Motivated by Water/Cu+Al2o3 and Entropy Generation. Spectrum of Mechanical Engineering and Operational Research, 1(1), 131-144. https://doi.org/10.31181/smeor1120249.
Kousar, S., Ansar, A., Kausar, N., & Freen, G. (2024). Multi-Criteria Decision-Making for Smog Mitigation: A Comprehensive Analysis of Health, Economic, and Ecological Impacts. Spectrum of Decision Making and Applications, 2(1), 53-67. https://doi.org/10.31181/sdmap2120258.
Kizielewicz, B., & Sałabun, W. (2024). SITW Method: A New Approach to Re-identifying Multi-criteria Weights in Complex Decision Analysis. Spectrum of Mechanical Engineering and Operational Research, 1(1), 215-226. https://doi.org/10.31181/smeor11202419.
Aditi Biswas, Kamal Hossain Gazi, Prodip Bhaduri, & Mondal, S. P. (2024). Site Selection for Girls Hostel in a University Campus by MCDM based Strategy. Spectrum of Decision Making and Applications, 2(1), 68-93. https://doi.org/10.31181/sdmap21202511.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Mališa Žižović, Miloljub Albijanić (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
All site content, except where otherwise noted, is licensed under the