How to cite this paper
Souissi, M & Hafdhi, S. (2021). On ranking by using weighted self-normalizing distance metrics in multi-attribute decision-making.Decision Science Letters , 10(4), 463-470.
Refrences
Aytekin, A. (2021). Comparative analysis of normalization techniques in the context ofMCDM problems. Decision Making: Applications in Management and Engineering, 4(2), 1-27.
Bhowmik, C., Bhowmik, S., & Ray, A. (2018). The effect of normalization tools on green energy sources selection using multi-criteria decision-making approach: A case study in India. Journal of Renewable and Sustainable Energy, 10(6). https://doi.org/10.1063/1.5043131
Brauers, W.K.M., Zavadskas, E.K., Peldschus, F., & Turskis, Z. (2006). Multi-objective decision-making for road design. Transport, 23(3), 183-193.
Çelen, A. (2015). Comparative analysis of normalization procedures in TOPSIS method: With an application to Turkish, deposit banking market. Informatica, 24(2), 185-208.
Cha, S.H. (2007). Comprehensive survey on distance/similarity measures between probability density functions. International Journal of Mathematical Models and Methods in Applied Sciences, 1, 300-307.
Ginevičius, R. (2008). Normalization of quantities of various dimensions. Journal of Business Economics and Management, 9(1), 79-86.
Gomes, L.F.A.M., & Lima, M.M.P.P. (1992). TODIM: Basics and application to multicriteria ranking of projects with environmental impacts. Foundations of Computing and Decision Sciences, 16 (4), 113-127.
Gower, J.C. (1971). A General coefficient of similarity and some of its properties. Biometrics, 27(4), 857-871.
Hajiagha, S.H.R., Mahdiraji, H.A., & Hashemi, S.S. (2018). Total area based on orthogonal vectors (TAOV) as a novel method of multi-criteria decision aid. Technological and Economic Development of Economy, 24(4), 1679-1694.
Hidouri, M., & Rebaï, A. (2019). A multi-attribute ranking approach based on net inferiority and superiority indexes, two weight vectors, and generalized Heronian means. Decision Science Letters, 8, 471-482.
Hodgett, R.E. (2013). Multi-criteria decision-making in whole process design. PhD thesis, Newcastle University.
Hwang, C.L., & Yoon, K. (1981). Multiple attribute decision-making: Methods and applications. New York: Springer-Verlag.
Jafaryeganeh, H., Ventura, M., & Soares, C.G. (2020). Effect of normalization techniques in multi-criteria decision-making methods for the design of ship internal layout from a Pareto optimal set. Structural and Multidisciplinary Optimization, 62(3), 1849-1863.
Jahan, A., & Edwards, K.L. (2015). A state-of-the-art survey on the influence of normalization procedures in ranking: Improving the materials selection process in engineering design. Materials and Design, 65, 335-342.
Kaplinski, O., & Tamošaitien, J. (2015). Analysis of normalization methods influencing results: A review to Honour Professor Friedel Peldschus on the occasion of his 75th Birthday. Procedia Engineering, 122, 2-10.
Keshavarz-Ghorabaee, M., Amiri, M., Zavadskas, E.K., Turskis, Z., & Antucheviciene, J. (2018). Simultaneous evaluation of criteria and alternatives (SECA) for multi-criteria decision-making. Informatica, 29(2), 265-280.
Keshavarz-Ghorabaee, M.K., Zavadskas, E.K., Turskis, Z., & Antucheviciene, J. (2016). A new combinative distance-based assessment (CODAS) method for multi-criteria decision-making. Economic Computation and Economic Cybernetics Studies and Research, 50(3), 25-44.
Kosareva, N., Krylovas, A., & Zavadskas, E.K. (2018). Statistical analysis of MCDM data normalization methods using Monte Carlo approach. The case of ternary estimates matrix. Economic Computation and Economic Cybernetics Studies and Research, 52(4), 159-175.
Lakshmi, T.M., Martin, A., & Venkatesan, V.P. (2019). A Study on influence of sensitivity analysis on normalization procedures by applying equal and exchange of weight metrics. International Journal of Computer Sciences and Engineering, 7(5), 40-45.
Lance, G.N., & Williams, W.T. (1967). Mixed data classificatory programs I – Agglomerative systems. Australian Computer Journal, 1(1), 15-20.
Li, D.F. (2009). Relative ratio method for multiple attribute decision-making problems. International Journal of Information Technology and Decision Making, 8, 289-311.
Liao, H.C., & Wu, X.L. (2020). DNMA: a double normalization-based multiple aggregation method for multi-expert multi-criteria decision-making. Omega, 94, 102058.https://doi.org/10.1016/j.omega.2019.04.001.
Maniya, K., & Bhatt, M.G. (2010). A selection of material using a novel type decision-making method: Preference selection index method. Materials and Design, 31(4), 1785-1789.
McCrimmon, K.R. (1968). Decision Making among Multiple-Attribute Alternatives: A Survey and Consolidated Approach. RAND Memorandum, RM-4823-ARPA; The RAND Corporation: Santa Monica, CA, USA.
Milani, A.S., Shanian, A., Madoliat, R., & Nemes, J.A. (2005). The effect of normalization norms in multiple attribute decision-making models: a case study in gear material selection. Structural and Multidisciplinary Optimization, 29, 312-318.
Mokotoff, E., Garcia, E., & Pérez, J. (2010). Normalization procedures on multicriteria decision making - an example on environmental problems. Conference: ICEIS 2010 - Proceedings of the 12th International Conference on Enterprise Information Systems, Volume 2, AIDSS, Funchal, Madeira, Portugal, June 8 -12.
Mufazzal, S., & Muzakkir, S.M. (2018). A new multi-criterion decision making (MCDM) method based on proximity index value for minimizing rank reversals. Computers & Industrial Engineering, 119, 427-438.
Muscat, J. (2014). Functional analysis: An introduction to metric spaces, Hilbert spaces, and Banach algebras. Berlin: Springer.
Opricovic, S. (1998). Multicriteria optimization of civil engineering systems. Faculty of Civil Engineering, Belgrade.
Palczewski, K., & Sałabun, W. (2019). Influence of various normalization methods in PROMETHEE II: an empirical study on the selection of the airport location. Procedia Computer Science, 159, 2051-2060.
Pamucar, D., & Cirovic, 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), 3016-3028.
Pavlicic, D.M. (2001). Normalization affects the results of MADM methods. Yugoslav Journal of Operations Research, 11(2), 251-265.
Ploskas, N., & Papathanasiou, J. (2019). A decision support system for multiple criteria alternative ranking using TOPSIS and VIKOR in fuzzy and nonfuzzy environments. Fuzzy Sets and Systems, 377(15), 1-30.
Podviezko, A. (2014). Distortions introduced by normalization of values of criteria in multiple criteria methods of evaluation. Proceedings of the Lithuanian Mathematical Society, 55, 51-56.
Podviezko, A., & Podvezko, V. (2015). Influence of data transformation on multicriteria evaluation result. Procedia Engineering, 122, 151-157.
Rao, R., & Singh, D. (2012). Weighted Euclidean distance based approach as a multiple attribute decision-making method for plant or facility layout design selection. International Journal of Industrial Engineering Computations, 3, 365-382.
Rozinek, O., & Mareš, J. (2021). The duality of similarity and metric spaces. Applied Sciences, 11(4), 1910. https://doi.org/10.3390/app11041910
Shekhovtsov, A., & Kołodziejczyk, J. (2020). Do distance-based multi-criteria decision analysis methods create similar rankings? Procedia Computer Science, 176, 3718-3729.
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, 106231.
Vafaei, N., Ribeiro, R.A., & Camarinha-Matos, L.M. (2018). Data normalization procedures in decision-making: Case study with TOPSIS method. International Journal of Information and Decision Sciences, 10(1), 19-38.
Wen, Z., Liao, H., & Zavadskas, E.K. (2020). MACONT: Mixed aggregation by comprehensive normalization technique for multi-criteria analysis. Informatica, 31, 857-880.
Yazdani, M., Zaraté, P., Zavadskas, E.K., & Turskis, Z. (2019). A combined compromise solution (CoCoSo) method for multi-criteria decision-making problems. Management Decision, 57(9), 2501-2519.
Zavadskas, E.K., Turskis, Z., Antucheviciene, J., & Zakarevicius, A. (2012). Optimization of weighted aggregated sum product assessment. Elektronika ir Elektrotechnika, 122(6), 3-6.
Zavadskas, E.K., & Turskis, Z. (2010). A new additive ratio assessment (ARAS) method in multicriteria decision-making. Technological and Economic Development of Economy, 16(2), 159-172.
Zavadskas, E.K., Kaklauskas, A., & Sarka, V. (1994). The new method of multicriteria complex proportional assessment of projects. Technological and Economic Development of Economy, 1(3), 131-139.
Bhowmik, C., Bhowmik, S., & Ray, A. (2018). The effect of normalization tools on green energy sources selection using multi-criteria decision-making approach: A case study in India. Journal of Renewable and Sustainable Energy, 10(6). https://doi.org/10.1063/1.5043131
Brauers, W.K.M., Zavadskas, E.K., Peldschus, F., & Turskis, Z. (2006). Multi-objective decision-making for road design. Transport, 23(3), 183-193.
Çelen, A. (2015). Comparative analysis of normalization procedures in TOPSIS method: With an application to Turkish, deposit banking market. Informatica, 24(2), 185-208.
Cha, S.H. (2007). Comprehensive survey on distance/similarity measures between probability density functions. International Journal of Mathematical Models and Methods in Applied Sciences, 1, 300-307.
Ginevičius, R. (2008). Normalization of quantities of various dimensions. Journal of Business Economics and Management, 9(1), 79-86.
Gomes, L.F.A.M., & Lima, M.M.P.P. (1992). TODIM: Basics and application to multicriteria ranking of projects with environmental impacts. Foundations of Computing and Decision Sciences, 16 (4), 113-127.
Gower, J.C. (1971). A General coefficient of similarity and some of its properties. Biometrics, 27(4), 857-871.
Hajiagha, S.H.R., Mahdiraji, H.A., & Hashemi, S.S. (2018). Total area based on orthogonal vectors (TAOV) as a novel method of multi-criteria decision aid. Technological and Economic Development of Economy, 24(4), 1679-1694.
Hidouri, M., & Rebaï, A. (2019). A multi-attribute ranking approach based on net inferiority and superiority indexes, two weight vectors, and generalized Heronian means. Decision Science Letters, 8, 471-482.
Hodgett, R.E. (2013). Multi-criteria decision-making in whole process design. PhD thesis, Newcastle University.
Hwang, C.L., & Yoon, K. (1981). Multiple attribute decision-making: Methods and applications. New York: Springer-Verlag.
Jafaryeganeh, H., Ventura, M., & Soares, C.G. (2020). Effect of normalization techniques in multi-criteria decision-making methods for the design of ship internal layout from a Pareto optimal set. Structural and Multidisciplinary Optimization, 62(3), 1849-1863.
Jahan, A., & Edwards, K.L. (2015). A state-of-the-art survey on the influence of normalization procedures in ranking: Improving the materials selection process in engineering design. Materials and Design, 65, 335-342.
Kaplinski, O., & Tamošaitien, J. (2015). Analysis of normalization methods influencing results: A review to Honour Professor Friedel Peldschus on the occasion of his 75th Birthday. Procedia Engineering, 122, 2-10.
Keshavarz-Ghorabaee, M., Amiri, M., Zavadskas, E.K., Turskis, Z., & Antucheviciene, J. (2018). Simultaneous evaluation of criteria and alternatives (SECA) for multi-criteria decision-making. Informatica, 29(2), 265-280.
Keshavarz-Ghorabaee, M.K., Zavadskas, E.K., Turskis, Z., & Antucheviciene, J. (2016). A new combinative distance-based assessment (CODAS) method for multi-criteria decision-making. Economic Computation and Economic Cybernetics Studies and Research, 50(3), 25-44.
Kosareva, N., Krylovas, A., & Zavadskas, E.K. (2018). Statistical analysis of MCDM data normalization methods using Monte Carlo approach. The case of ternary estimates matrix. Economic Computation and Economic Cybernetics Studies and Research, 52(4), 159-175.
Lakshmi, T.M., Martin, A., & Venkatesan, V.P. (2019). A Study on influence of sensitivity analysis on normalization procedures by applying equal and exchange of weight metrics. International Journal of Computer Sciences and Engineering, 7(5), 40-45.
Lance, G.N., & Williams, W.T. (1967). Mixed data classificatory programs I – Agglomerative systems. Australian Computer Journal, 1(1), 15-20.
Li, D.F. (2009). Relative ratio method for multiple attribute decision-making problems. International Journal of Information Technology and Decision Making, 8, 289-311.
Liao, H.C., & Wu, X.L. (2020). DNMA: a double normalization-based multiple aggregation method for multi-expert multi-criteria decision-making. Omega, 94, 102058.https://doi.org/10.1016/j.omega.2019.04.001.
Maniya, K., & Bhatt, M.G. (2010). A selection of material using a novel type decision-making method: Preference selection index method. Materials and Design, 31(4), 1785-1789.
McCrimmon, K.R. (1968). Decision Making among Multiple-Attribute Alternatives: A Survey and Consolidated Approach. RAND Memorandum, RM-4823-ARPA; The RAND Corporation: Santa Monica, CA, USA.
Milani, A.S., Shanian, A., Madoliat, R., & Nemes, J.A. (2005). The effect of normalization norms in multiple attribute decision-making models: a case study in gear material selection. Structural and Multidisciplinary Optimization, 29, 312-318.
Mokotoff, E., Garcia, E., & Pérez, J. (2010). Normalization procedures on multicriteria decision making - an example on environmental problems. Conference: ICEIS 2010 - Proceedings of the 12th International Conference on Enterprise Information Systems, Volume 2, AIDSS, Funchal, Madeira, Portugal, June 8 -12.
Mufazzal, S., & Muzakkir, S.M. (2018). A new multi-criterion decision making (MCDM) method based on proximity index value for minimizing rank reversals. Computers & Industrial Engineering, 119, 427-438.
Muscat, J. (2014). Functional analysis: An introduction to metric spaces, Hilbert spaces, and Banach algebras. Berlin: Springer.
Opricovic, S. (1998). Multicriteria optimization of civil engineering systems. Faculty of Civil Engineering, Belgrade.
Palczewski, K., & Sałabun, W. (2019). Influence of various normalization methods in PROMETHEE II: an empirical study on the selection of the airport location. Procedia Computer Science, 159, 2051-2060.
Pamucar, D., & Cirovic, 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), 3016-3028.
Pavlicic, D.M. (2001). Normalization affects the results of MADM methods. Yugoslav Journal of Operations Research, 11(2), 251-265.
Ploskas, N., & Papathanasiou, J. (2019). A decision support system for multiple criteria alternative ranking using TOPSIS and VIKOR in fuzzy and nonfuzzy environments. Fuzzy Sets and Systems, 377(15), 1-30.
Podviezko, A. (2014). Distortions introduced by normalization of values of criteria in multiple criteria methods of evaluation. Proceedings of the Lithuanian Mathematical Society, 55, 51-56.
Podviezko, A., & Podvezko, V. (2015). Influence of data transformation on multicriteria evaluation result. Procedia Engineering, 122, 151-157.
Rao, R., & Singh, D. (2012). Weighted Euclidean distance based approach as a multiple attribute decision-making method for plant or facility layout design selection. International Journal of Industrial Engineering Computations, 3, 365-382.
Rozinek, O., & Mareš, J. (2021). The duality of similarity and metric spaces. Applied Sciences, 11(4), 1910. https://doi.org/10.3390/app11041910
Shekhovtsov, A., & Kołodziejczyk, J. (2020). Do distance-based multi-criteria decision analysis methods create similar rankings? Procedia Computer Science, 176, 3718-3729.
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, 106231.
Vafaei, N., Ribeiro, R.A., & Camarinha-Matos, L.M. (2018). Data normalization procedures in decision-making: Case study with TOPSIS method. International Journal of Information and Decision Sciences, 10(1), 19-38.
Wen, Z., Liao, H., & Zavadskas, E.K. (2020). MACONT: Mixed aggregation by comprehensive normalization technique for multi-criteria analysis. Informatica, 31, 857-880.
Yazdani, M., Zaraté, P., Zavadskas, E.K., & Turskis, Z. (2019). A combined compromise solution (CoCoSo) method for multi-criteria decision-making problems. Management Decision, 57(9), 2501-2519.
Zavadskas, E.K., Turskis, Z., Antucheviciene, J., & Zakarevicius, A. (2012). Optimization of weighted aggregated sum product assessment. Elektronika ir Elektrotechnika, 122(6), 3-6.
Zavadskas, E.K., & Turskis, Z. (2010). A new additive ratio assessment (ARAS) method in multicriteria decision-making. Technological and Economic Development of Economy, 16(2), 159-172.
Zavadskas, E.K., Kaklauskas, A., & Sarka, V. (1994). The new method of multicriteria complex proportional assessment of projects. Technological and Economic Development of Economy, 1(3), 131-139.