The Advantages of the OWA (Ordered Weighted Averaging) Method in Decision Making and Reliability Testing of Spatial Multi-Criteria Site Selection (SMCSS) Model

https://doi.org/10.22146/ijg.90037

Darman Ferianto Saragih(1*), Marsedes Purba(2)

(1) Politeknik Negeri Medan
(2) Civil Engineering Department, Politeknik Negeri Medan, Medan, Indonesia
(*) Corresponding Author

Abstract


Most SMCSS research applies a previously well-known aggregation method, namely WLC (Weighted Linear Combination), which only provides one decision-making strategy. A number of studies also do not include reliability tests of their models. This paper aims to give comprehensive descriptions of the different decision results of the OWA method and demonstrate the unique sensitivity analysis process in the model itself. A case study of the retention pond site selection in Medan City, North Sumatra Province, Indonesia, was selected for this objective. The sequence of modeling steps is parameter determination, criteria map creation, map standardization, parameter weight determination, map combination, and model validation or model sensitivity testing. Model sensitivity is tested by measuring the changes in the model's output as a result of changes in the model's inputs. The input variation of the model was arranged by applying a set number of ordered weights, which are part of the OWA method itself. Various model outputs indicate two things at once. First, the results of the SMCSS model offer a varied decision strategy, and second, the SMCSS model is proven sensitive or reliable.

Keywords


sensitivity analysis; site selection; OWA method; ordered weight; decision strategy



References

Ahmad, S.Z., (2017). Fuzzy Logic-Ordered Weighted Average Model for Effective Municipal Solid Waste Landfill Site Selection Using Comprehensive Spatial Environmental, Physical snd Socio-Economic Criteria. Thesis for the Degree of Doctor of Philosophy. University Sains Malaysia.

Ahmadisharaf, E., Tajrishy, M. & Alamdari, N. (2015). Integrating flood hazard into site selection of detention basins using spatial multicriteria decisimaking, Journal of Environmental Planning and Management, DOI:10.1080/09640568.2015.1077104.

Alanbari, M.A., et al. (2014) GIS and Multicriteria Decision Analysis for Landfill Site Selection in
Al-Hashimyah Qadaa. Natural Science, 6, 282-304. http://dx.doi.org/10.4236/ns.2014.65032

Buraihia, F. H., Sharif, A. R. M., 2015. Selection of Rainwater Harvesting Sites by Using Remote Sensing and GIS Techniques: A Case Study of Kirkuk, Iraq. Jurnal Teknologi, 76 (15), 75–81

CBS-MC, (2018). Central Bureau of Statistics of Medan City (Badan Pusan Statistik Kota Medan). Available at download.html (bps.go.id)

Chen, H., Wood, M. D., Linstead, C., & Maltby, E. (2011). Uncertainty analysis in a GIS-based multi-criteria analysis tool for river catchment management. Environmental Modelling and Software, 26(4), 395–405.

Chen, Y., Yu, J., & Khan, S. (2013). The spatial framework for weight sensitivity analysis in AHP based multi-criteria decision making. Environmental Modelling and Software, 48, 129–140.

Cradden, L., Kalogeri, C., Barrios, I.M., Galanis, G., Ingram, D., Kallos, G., (2016). Multi-Criteria Site Selection for Offshore Renewable Energy Platform. Renewable Energy 87 (2016) 791-806.

Eastman, J. R., (2012). IDRISI Selva Tutorial, Manual Version 17. IDRISI Production. Clark University. Woncester, Massachusetts, USA.

Estoque, R.C., (2011). GIS-based Multi-Criteria Decision Analysis (in Natural Resource Management). On line accessed on 2nd March 2018. Available at: http://giswin.geo.tsukuba.ac.jp/sis/tutorial/GIS-based%20MCDA%20_RCEstoque.

FR-DMP, (2013). Final Report of Drainage Master Plan of Medan City. Medan City Government. Medan, Indonesia.

Gorsevski, P. V., Cathcart, S. C., Mirzaei, G., Jamali, M. M., Ye, X., & Gomezdelcampo, E. (2013). A group-based spatial decision support system for wind farm site selection in Northwest Ohio. Energy Policy, 55(C), 374–385.

Gómez-Delgado, M., & Bosque-Sendra, J. (2004). Sensitivity analysis in multi-criteria spatial decision-making: A review. Human and Ecological Risk Assessment, 10(6), 1173–1187.

Kapilan, S., Elangovan, K. (2018). Potential landfill site selection for solid waste disposal using GIS and multi-criteria decision analysis (MCDA). J. Cent. South Univ. 25, 570–585. https://doi.org/10.1007/s11771-018-3762-3

Landis, J.R., Koch, G.G., (1977). The Measurement of Observer Agreement for Categorical Data. Biometrics, Vol. 33, No. 1, pp. 159-174.

Magoura, A., Dehimi, S. and Redjem, A., (2023). A GIS-based multi-criteria evaluation of landfill site selection in the Region of Hodna, Algeria. Journal of Degraded and Mining Lands Management, 10(4):4709-4720, doi:10.15243/jdmlm. 2023.104.4709.

Makropoulos, C. K., Argyrou, E., Memon, F. A., & Butler, D., (2007). A suitability evaluation tool for siting waste water treatment facilities in new urban developments. Urban Water Journal, 4(2), 61–78.

Malczewski, J. & Rinner, C., (2015). Multi Criteria Decision Analysis in Geographic Information Science. Springer. New York.

Manodhari, AANH. (2021). GIS Analysis for finding suitable Location for waste disposal in Minuwangoda. Thesis in Information System at General Sir John Kotelawala Defence University.

Raad, N. G., Rajendran, S., Salimi, S., (2022). A novel three-stage fuzzy GIS-MCDA approach to the dry port site selection problem: A case study of Shahid Rajaei Port in Iran. Computer and Industrial Engineering. https://doi.org/10.1016/j.cie.2022.108112

Saaty, T. L., (2008). Decision making with the analytic hierarchy process, International Journal of Services Sciences, 1(1), pp.83–98.

Saragih, D.F., (2020). Spatial Multi Criteria Site Selection of Detention and Retention Pond for Urban Storm Water Management at Medan City. Disertation in Civil Engineering School at University Sains Malaysia, Penang, Malaysia.

Shih, Y.C., (2017). Integrated GIS and AHP for Marine Aquaculture Site Selection in Penghu Cove in Taiwan. J Coast Zone Manag 20: 438. DOI: 10.4172/2473-3350.1000438.

Tenerelli, P., & Carver, S. (2012). Multi-criteria, multi-objective and uncertainty analysis for agroenergy spatial modelling. Applied Geography, 32(2), 724–736.

Yager, R. R. (1988). On ordered weighted averaging aggregation operators in multi criteria decision making. IEEE Transactions Systems, Man and Cybernetics, 18(1), 183–190.



DOI: https://doi.org/10.22146/ijg.90037

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