Improvement of the operations planning process using a hybridized fuzzy-multi-criteria decision-making approach

Keywords: Multi-Criteria Decision-Making (MCDM), DEMATEL, COPRAS, Triangular Fuzzy Sets, Operations Planning Process

Abstract


Introduction/purpose: The possibility of optimizing decision making in the operations planning process in air defence units by applying a multi-criteria decision-making approach in a fuzzy environment is shown in the paper. By analyzing the content of the available literature, the selection criteria were determined based on which it is possible to evaluate and compare the courses of action of air defence units. The criteria are based on the evaluation parameters of the courses of action from the decision matrix in the phase of the operations planning process called the courses of action validation and comparison.

Methods: The proposed approach combines the Laboratory for Testing and Evaluation of Decision Making (DEMATEL) and the Compressed Proportional Assessment (COPRAS) which have been successfully modified by fuzzy triangular sets. The fuzzy-DEMATEL method was applied to determine the criteria's weights, and the fuzzy-COPRAS method was applied to evaluate the alternatives - courses of action.

Results: Multiple fuzzy-multi-criteria decision-making methods were integrated into a unique model that can be applied in the operations planning process with the aim of optimizing the decision-making process.

Conclusion: The paper contributes to military science in making decisions related to the operations planning process at the tactical level in air defence units.

References

Alinezhad, A., Khalili, J., Alinezhad, A. & Khalili, J. 2019. New Methods and Applications in Multiple Attribute Decision Making (MADM). Cham: Springer. Available at: https://doi.org/10.1007/978-3-030-15009-9.

Ataei, Y., Mahmoudi, A., Feylizadeh, M.R. & Li, D.-F. 2020. Ordinal Priority Approach (OPA) in Multiple Attribute Decision-Making. Applied Soft Computing, 86, art.number:105893. Available at: https://doi.org/10.1016/j.asoc.2019.105893.

Baykasoğlu, A. & Gölcük, İ. 2017. Development of an interval type-2 fuzzy sets based hierarchical MADM model by combining DEMATEL and TOPSIS. Expert Systems with Applications, 70, pp.37-51. Available at: https://doi.org/10.1016/j.eswa.2016.11.001.

Božanić, D.I., Pamučar, D.S. & Karović, S.M. 2016. Application the MABAC method in support of decision-making on the use of force in a defensive operation. Tehnika, 71(1), pp.129-136 (in Serbian). Available at: https://doi.org/10.5937/tehnika1601129B.

-Canadian Army Command and Staff College. 2018. The Operational Planning Process: OPP Handbook CACSC-PUB-500. Kingston, Ontario, Canada: Canadian Army Command and Staff College [online]. Available at: https://www.canada.ca/content/dam/dnd-mdn/army/lineofsight/files/articlefiles/en/CACSC-PUB-500-2018.pdf [Accessed: 10 May 2024].

Chang, D.Y. 1996. Applications of the extent analysis method on fuzzy AHP. European journal of operational research, 95(3), pp.649-655. Available at: https://doi.org/10.1016/0377-2217(95)00300-2.

Field A.P. 2005. Kendall’s Coefficient of Concordance. In: Everitt, B.S. & Howell, D.C. (Eds.) Encyclopedia of Statistics in Behavioral Science, 2, pp.1010-1011. New York: Wiley [online]. Available at: https://discoveringstatistics.com/repository/kendall's_coefficient_of_concordance_ebs.pdf [Acessed: 05 July 2024]. ISBN: 978-0-470-86080-9

Ghorabaee, M.K., Amiri, M., Sadaghiani, J.S. & Goodarzi, G.H. 2014. Multiple criteria group decision-making for supplier selection based on COPRAS method with interval type-2 fuzzy sets. The International Journal of Advanced Manufacturing Technology, 75, pp.1115-1130. Available at: https://doi.org/10.1007/s00170-014-6142-7.

Gul, M., Celik, E., Aydin, N., Gumus, A.T. & Guneri, A.F. 2016. A state of the art literature review of VIKOR and its fuzzy extensions on applications. Applied Soft Computing, 46, pp.60-89. Available at: https://doi.org/10.1016/j.asoc.2016.04.040.

Inđić, D., Petrović, I., Ivanković, N. & Đukić, Đ. 2018. Chemical accident area reconnaissance by unmanned aircraft. Vojno delo, 70(8), pp.109-127. Available at: https://doi.org/10.5937/vojdelo1808109I.

Kahraman, C., Öztayşi, B., Sarı, İ.U. & Turanoğlu, E. 2014. Fuzzy analytic hierarchy process with interval type-2 fuzzy sets. Knowledge-Based Systems, 59, pp.48-57. Available at: https://doi.org/10.1016/j.knosys.2014.02.001.

Khan, F., Ali, Y. & Pamucar, D. 2022. A new fuzzy FUCOM-QFD approach for evaluating strategies to enhance the resilience of the healthcare sector to combat the COVID-19 pandemic. Kybernetes, 51(4), pp.1429-1451. Available at: https://doi.org/10.1108/K-02-2021-0130.

Opricovic, S. & Tzeng, G.-H. 2004. Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. European Journal of operational research, 156(2), pp.445-455. Available at: https://doi.org/10.1016/S0377-2217(03)00020-1.

Pamučar, D. & Ćirović, G. 2015. The selection of transport and handling resources in logistics centers using Multi-Attributive Border Approximation area Comparison (MABAC). Expert Systems with Applications, 42(6), pp.3016-3028. Available at: https://doi.org/10.1016/j.eswa.2014.11.057.

Petrović, J. & Petrović, I. 2021. What makes a successful helicopter pilot? A fuzzy multi-criteria decision-making approach. International Journal for Traffic and Transport Engineering, 11(4), pp.507-527. Available at: https://doi.org/10.7708/ijtte2021.11(4).02.

Sabaei, D., Erkoyuncu, J. & Roy, R. 2015. A Review of Multi-criteria Decision Making Methods for Enhanced Maintenance Delivery. Procedia CIRP, 37, pp.30-35. Available at: https://doi.org/10.1016/j.procir.2015.08.086.

Stević, Ž., Pamučar, D., Puška, A. & Chatterjee, P. 2020. Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of alternatives and ranking according to COmpromise solution (MARCOS). Computers & Industrial Engineering, 140, art.number:106231. Available at: https://doi.org/10.1016/j.cie.2019.106231.

Tešić, T. & Božanić, D. 2023. Optimizing Military Decision-Making: Application of the FUCOM– EWAA–COPRAS-G MCDM Model. Acadlore Transactions on Applied Mathematics and Statistics, 1(3), pp.148-160. Available at: https://doi.org/10.56578/atams010303.

-UK Ministry of Defence. 2019. Allied Joint Publication-5 Allied Joint Doctrine for the Planning of Operations. Ministry of Defence UK [e-book]. Bristol: UK Ministry of Defence [online]. Available at: https://assets.publishing.service.gov.uk/media/6054d017e90e0724be025a8f/20210310-AJP_5_with_UK_elem_final_web.pdf [Accessed: 12 May 2024].

Yu, S.M., Wang, J. & Wang, J.Q. 2017. An Interval Type-2 Fuzzy Likelihood-Based MABAC Approach and Its Application in Selecting Hotels on a Tourism Website. International Journal of Fuzzy Systems, 19, pp.47-61. Available at: https://doi.org/10.1007/s40815-016-0217-6.

Zavadskas, E.K., Kaklauskas, A., Turskis, Z. & Tamošaitiene, J. 2008. Selection of the effective dwelling house walls by applying attributes values determined at intervals. Journal of Civil Engineering and Management, 14(2), pp.85-93. Available at: https://doi.org/10.3846/1392-3730.2008.14.3.

Zavadskas, E.K., Turskis, Z. & Kildienė, S. 2014. State of art surveys of overviews on MCDM/MADM methods. Technological and Economic Development of Economy, 20(1), pp.165-179. Available at: https://doi.org/10.3846/20294913.2014.892037.

Žižović, M. & Pamučar, D. 2019. New model for determining criteria weights: Level Based Weight Assessment (LBWA) model. Decision Making: Applications in Management and Engineering, 2(2), pp.126-137. Available at: https://doi.org/10.31181/dmame1902102z.

Published
2024/09/28
Section
Original Scientific Papers