Modification of the EDAS method for controlling outlier data
محورهای موضوعی : Mathematical Optimization
Rouhollah Kiani Ghalehno
1
(PhD Student of Industrial Engineering, Islamic Azad University, Aliabad Katoul Branch, Aliabad Katoul, Iran)
کلید واژه: Normal distribution, EDAS method, data outlier, central limit theorem,
چکیده مقاله :
The purpose of this study is to modify the EDAS method so that it can control Outlier data. In multi-criteria decision making methods, the distances between the data are the criterion for calculating the score, so the existence of significant distance of Outlier data from other data, can make the score of the criteria exclusive to Outlier data. Therefore, in addition to weighting the criteria, which is a kind of valuing the criteria relative to each other, weighting within the criteria by evaluating effective distances will be necessary. Despite the special conditions, the data distribution can be approximated to the normal distribution based on the central limit theorem. In this study, the normal distribution mechanism has been used to identify and evaluate effective distances. The proposed technique has been used for about 1950 branches of the Agricultural Bank of Iran and the results have been analyzed while comparing with the classic method.
- Shahbandarzadeh, h. Design the method evaluated the performance bank branches by using multi criteria decision making techniques (Doctoral dissertation). University of Tehran. Tehran, Iran. 2006; (In Persian).
- Rasoulinejad, E. Ranking of selected branches of Bank Saderat in Tehran using the integrated model DEAHP and ANP (M.A thesis in industrial management). University of Tehran, Tehran, Iran. 2009;(In Persian).
- Secme, N. Bayrakdaroglu, A., & Kahraman, C. Fuzzy performance evaluation in Turkish Banking Sector using Analytic Hierarchy Process and TOPSIS. Expert Systems with Applications, 2009;36(9), 11699–11709.
- Motameni, A.R., Javadzadeh, M. & Tizfahm, M. The strategy performance evaluation of the banks. Journal of Strategic Management Studies, 2010;1, 159-141.
- Garcia, F., Guijarro, F., & Moya, I. Ranking Spanish savings banks: A multicriteria approach. Matematical and Computer Modelling, 2010;52(7-8), 1058-1065.
- Azar, A. & Vafaei, F. Ranking MADM methods using fuzzy multi-criteria decision-making methods in comparison with DEA method. Daneshvar (Raftar) Management and Achievement, 17th Year, 2010;41, 23- 38. (In Persian).
- Aghaei, M., Asadollahi, A. & Pakari, A. Ranking of Saman bank’s branches in Tehran on the basis of customer satisfaction factors by F.M.C.D.M models, International Journal of Scientific Management and Development, 2013;1(1), 46-61
- Kazemi, A. & Mousavi, J. Ranking Iranian private banks using multi-criteria decision-making methods. Journal of Quantitative Research in Management, 2013;3, 121-140. (In Persian).
- Mahmudi, A. & Bagherlou, H. Ranking the bank stock with multi-criteria decision-making method. 3th Iranian Management & Accounting Conference, Tehran University. 2014;(In Persian).
- Alidade, B. & Ghasemi, M. Ranking the branches of bank Sepah of Sistan Baluchistan using balanced score card and fuzzy multi-attribute decision-making methods, Research Journal of Recent Sciences, 2015;4(1), 17-24.
- Keshavarz Ghorabaee, M.; Zavadskas, E.K.; Olfat, L.; Turskis, Z. Multi-Criteria Inventory Classification Using a New Method of Evaluation Based on Distance from Average Solution (EDAS). Informatica, 2015;26, 435– 451.
- Zhang, S.Q.; Wei, G.W.; Gao, H.; Wei, C.; Wei, Y. EDAS method for multiple criteria group decision
making with picture fuzzy information and its application to green suppliers selections. Technol. Econ. Dev. Econ. 2019;26, 1123–1138.
- Peng, X.D.; Liu, C. Algorithms for neutrosophic soft decision making based on EDAS, new similarity measure and level soft set. J. Intell. Fuzzy Syst. 2017;32, 955–968.
- Feng, X.Q.; Wei, C.P.; Liu, Q. EDAS Method for Extended Hesitant Fuzzy Linguistic Multi-criteria
Decision Making. Int. J. Fuzzy Syst. 2018;20, 2470–2483.
- He, Y.; Lei, F.; Wei, G.W.; Wang, R.; Wu, J.; Wei, C. EDAS method for multiple attribute group decision making with probabilistic uncertain linguistic information and its application to green supplier selection. Int. J. Comput. Intell. Syst. 2019;12, 1361–1370.
- Karasan, A.; Kahraman, C. A novel interval-valued neutrosophic EDAS method: Prioritization of the United Nations national sustainable development goals. Soft Comput. 2018;22, 4891–4906.
- Li, X.; Ju, Y.B.; Ju, D.W.; Zhang, W.K.; Dong, P.W.; Wang, A.H. Multi-Attribute Group Decision Making Method Based on EDAS Under Picture Fuzzy Environment. IEEE Access 2019, 7, 141179–141192
- Wang, P.; Wang, J.; Wei, G.W. EDAS method for multiple criteria group decision making under 2-tuple linguistic neutrosophic environment. J. Intell. Fuzzy System. 2019;37, 1597–1608.
- Keshavarz Ghorabaee, M.; Amiri, M.; Zavadskas, E.K.; Turskis, Z.; Antucheviciene, J. Stochastic EDAS method for multi-criteria decision-making with normally distributed data. J. Intell. Fuzzy Syst. 2017;33, 1627–1638.
- Zhang, S.Q.; Gao, H.; Wei, G.W.; Wei, Y.; Wei, C. Evaluation Based on Distance from Average Solution Method for Multiple Criteria Group Decision Making under Picture 2-Tuple Linguistic Environment. Mathematics 2019, 7, 14.
- Kiani Ghaleh No et al. Modified interval EDAS approach for the multi‑criteria ranking problem in
banking sector of Iran. Ambient Intelligence and Humanized Computing. 2020;doi.org/10.1007/s12652- 020-02550-6.
- Bushra, B. & Shougi, Suliman A. & Saleem, A. & Shahzaib A. EDAS method for decision support
modeling under the Pythagorean probabilistic hesitant fuzzy aggregation information, Journal of Ambient Intelligence and Humanized Computing. 2021;https://doi.org/10.1007/s12652-021-03181-1.
- Ozgur, D. & Omer Faruk, D. & Fulya, Z. & Oguz, O. & Alper, A. Which renewable energy consumption is more efficient by fuzzy EDAS method based on PESTLE dimensions? Environmental Science and Pollution Research 2021; 28:36274–36287.
