How to cite this paper
Goswami, S & Mitra, S. (2020). Selecting the best mobile model by applying AHP-COPRAS and AHP-ARAS decision making methodology.International Journal of Data and Network Science, 4(1), 27-42.
Refrences
Adali, E. A., & Işık, A. T. (2016). Air conditioner selection problem with COPRAS and ARAS meth-ods. Manas Sosyal Araştırmalar Dergisi, 5(2), 124-138.
Adalı, E., & Işık, A. (2017). The multi-objective decision making methods based on MULTIMOORA and MOORA for the laptop selection problem. International Journal of Industrial Engineering, Springer, 13, 229-237.
Andruškevicius, A. (2005). Evaluation of contractors by using COPRAS - The multiple criteria meth-od. Technological and Economic Development of Economy, 11(3), 158–169.
Anyaeche, C., Ighravwe, D., & Asokeji, T. (2017). Project portfolio selection of banking services us-ing COPRAS and Fuzzy-TOPSIS. Journal of Project Management, 2(2), 51-62.
Banaitiene, N., Banaitis, A., Kaklauskas, A., & Zavadskas, E.K. (2008). Evaluating the life cycle of a building: A multivariant and multiple criteria approach. Omega, 36(3), 429 – 441.
Barak, S., Mehrgini, B., Maghsoudlou, H., & Branch, Q. (2014). Multi-criteria decision making ap-proach to candidate well selection for hydraulic fracturing treatment, CIE44 & IMSS‟14 Proceed-ings, 14-16 October, Istanbul / Turkey, 2092-2106.
Bhattacharyya, A., & Chakraborty, S. (2014). A DEA-TOPSIS-based approach for performance evalu-ation of Indian technical institutes. Decision Science Letters, 3(3), 397-410.
Bhole, G.P., & Deshmukh, T. (2018). Multi-criteria decision making (MCDM) methods and its appli-cations. International Journal for Research in Applied Science & Engineering Technology (IJRA-SET), 6(5), 899-915.
Biswas, T., & Saha, P. (2019). Selection of commercially available scooters by new MCDM method. International Journal of Data and Network Science, 3(2), 137-144.
Bose, G., & Chatterjee, N. (2016). Fuzzy hybrid MCDM approach for selection of wind turbine ser-vice technicians. Management Science Letters, 6(1), 1-18.
Brans, J.P. (1982). L’ingénièrie de la décision; Elaboration d’instruments d’aide à la décision. La méthode PROMETHEE. Organized by Nadeau, R. and Landry, M., L’aide à la décision: Nature, Instruments et Perspectives d’Avenir, Québec, Canada, Presses de l’Université Laval, 183-213.
Brauers, W.K.M., & Zavadskas, E.K. (2006). The MOORA method and its applications to privatiza-tion in a transition economy. Control and cybernetics, 35(2), 445-469.
Brauers, W.K.M., & Zavadskas, E.K. (2009). Multi objectives optimization with discrete alternatives on the basis of ratio analysis. Intellectual economics, 2(6), 30-41.
Buckley, J.J. (1985). Fuzzy hierarchical analysis. Fuzzy Sets Systems, 17(1), 233–247.
Bulut, E., Duru, O., Keçeci, T., & Yoshida, S. (2012). Use of consistency index, expert prioritization and direct numerical inputs for generic fuzzy-AHP modeling: A process model for shipping asset management. Expert Systems with Applications, 39(2), 1911–1923.
Celik, M., Deha, E.I., & Ozok, A.F. (2009). Application of fuzzy extended AHP methodology on ship-ping registry selection: The case of Turkish maritime industry. Expert Systems with Applications, 36(1), 190–198.
Chaghooshi, A., Arab, A., & Dehshiri, S. (2016). A fuzzy hybrid approach for project manager selec-tion. Decision Science Letters, 5(3), 447-460.
Chang, D.Y. (1996). Applications of the extent analysis method on Fuzzy AHP. European Journal of Operational Research, 95(3), 649–655.
Chatterjee, N., & Bose, G. (2013a). Selection of vendors for wind farm under fuzzy MCDM environ-ment. International Journal of Industrial Engineering Computations, 4(4), 535-546.
Chatterjee, N., & Bose, G. (2013b). A COPRAS-F base multi-criteria group decision making approach for site selection of wind farm. Decision Science Letters, 2(1), 1-10.
Chatterjee, P., & Chakraborty, S. (2014). Flexible manufacturing system selection using preference ranking methods: A comparative study, International Journal of Industrial Engineering Computa-tions, 5, 315–338.
Chung, E.S., & Lee, K.S. (2009). Prioritization of water management for sustainability using hydro-logic simulation model and multi criteria decision making techniques. Journal of Environmental Management, 90, 1502-1511.
Das, M.C., Sarkar, B., & Ray, S. (2012). A framework to measure relative performance of indian tech-nical institutions using integrated fuzzy AHP and COPRAS methodology. Socio-economic Plan-ning Sciences, 46, 230–241.
Dey, S., & Chakraborty, S. (2016). A study on the machinability of some metal alloys using grey TOPSIS method. Decision Science Letters, 5(1), 31-44.
Durán, O., & Aguilo, J. (2008). Computer-aided machine tool selection based on a fuzzy-AHP ap-proach. Expert Systems with Applications, 34, 1787–1794.
Efendigil, T., Önüt, S., & Kongar, E. (2008). A holistic approach for selecting a third-party reverse lo-gistics provider in the presence of vagueness. Computers & Industrial Engineering, 54, 269-286.
Garg, R., & Jain, D. (2017). Fuzzy multi-attribute decision making evaluation of e-learning websites using FAHP, COPRAS, VIKOR, WDBA. Decision Science Letters, 6(4), 351-364.
Geldermann, J., Spengler, T., & Rentz, O. (2000). Fuzzy outranking for environmental assessment. Case study: Iron and steel making industry. Fuzzy Sets and Systems, 115(1), 45-65.
Ghadikolaei, S., Esbouei S.K., & Antucheviciene, J. (2014). Applying fuzzy MCDM for financial per-formance evaluation of Iranian companies. Technological and Economic Development of Economy, 20(2), 274-291.
Hwang, C.L., Lai, Y.J., & Liu, T.Y. (1993). A new approach for multiple objective decision making. Computers and Operational Research, 20(8), 889–899.
Hwang, C.L., & Yoon, K. (1981). Multiple attributes decision making methods and applications. Ber-lin: Springer.
Işık, A., & Adalı, E. (2016). A comparative study for the agricultural tractor selection problem. Deci-sion Science Letters, 5(4), 569-580.
Kaklauskas, A., Zavadskas, E.K., Raslanas, S., Ginevicius, R., Komka, A., & Malinauskas, P. (2006). Selection of low e-windows in retrofit of public buildings by applying multiple criteria method COPRAS: A Lithuanian case. Energy and Buildings, 38(5), 454-462.
Karande, P., & Chakraborty, S. (2012). A Fuzzy-MOORA approach for ERP system selection. Deci-sion Science Letters, 1(1), 11-21.
Karande, P., Zavadskas, E.K., & Chakraborty, S. (2016). A study on the ranking performance of some MCDM methods for industrial robot selection problems. International Journal of Industrial Engi-neering Computations, 7(3), 399-422.
Koganti, V., Menikonda, N., Anbuudayasankar, S., Krishnaraj, T., Athhukuri, R., & Vastav, M. (2019). GRAHP TOP model for supplier selection in Supply Chain: A hybrid MCDM approach. Decision Science Letters, 8(1), 65-80.
Kowalski, K., Stagl, S., Madlener, R., & Omann, I. (2009). Sustainable energy futures: Methodologi-cal challenges in combining scenarios and participatory multi-criteria analysis. European Journal of Operational Research, 197, 1063–1074.
Kumar, J., & Roy, N. (2010). Hybrid method for vendor selection using neural network. International Journal of Computer Applications, 11, 35-40.
Kundakcı, N., & Işık, A. (2016). Integration of MACBETH and COPRAS methods to select air com-pressor for a textile company. Decision Science Letters, 5(3), 381-394.
Kundakcı, N., Işık, A., & Adalı, E. (2015). AHP ve MOORA Yöntemleri ile Klima Seçimi, Uluslararası Katılımlı Üretim AraĢtırmaları Sempozyumu, 14-16 October, Ege University, Ġzmir.
Liu, F., Ding, F.Y., & Lall, V. (2000). Using data envelopment analysis to compare vendors for vendor selection and performance improvement. Supply Chain Management: An International Journal, 5, 143-150.
Madic, M., Markovic, D., Petrovic, G., & Radovanovic, M. (2014). Application of copras method for supplier selection. The 5th International Conference “Transport and Logistics”.
Madurika, H.K.G.M., & Hemakumara, G.P.T.S. (2015). GIS based analysis for suitability location finding in the residential development areas of greater Matara region. International Journal of Sci-entific & Technology Research, 4(8), 96-105.
Marzouk, M., & Abdelakder, E. (2019). On the use of multi-criteria decision making methods for min-imizing environmental emissions in construction projects. Decision Science Letters, 8(4), 373-392.
Mirahmadi, S., Attafar, A., & Ketabi, S. (2018). Developing a fuzzy ANP model for performance ap-praisal based on firm strategy. Decision Science Letters, 7(3), 243-256.
Mitra, S., & Goswami, S.S. (2019a). Selection of the desktop computer model by AHP-TOPSIS hybrid MCDM methodology. International Journal of Research and Analytical Reviews, 6(1), 784-790.
Mitra, S., & Goswami, S.S. (2019b). Application of integrated MCDM technique (AHP-SAW) for the selection of best laptop computer model. International Journal for Research in Engineering Appli-cation & Management, 4(12), 1-6.
Mitra, S., & Goswami, S.S. (2019c). Application of simple average weighting optimization method in the selection of best desktop computer model. Advanced Journal of Graduate Research, 6(1), 60-68.
Mitra, S., & Kundu, S. (2017). Application of analytic hierarchy process for domestic refrigerator se-lection. International Journal of Emerging Technologies in Engineering Research, 5(12), 126-132.
Mitra, S., & Kundu, S. (2018). Application of TOPSIS for best domestic refrigerator selection. Inter-national Journal of Research and Analytical Reviews, 5(3), 226-231.
Opricovic, S., & Tzeng, G.H. (2004). The compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. European Journal of Operational Research, 56(2), 445–455.
Opricovic, S., & Tzeng, G.H. (2007). Extended VIKOR method in comparison with outranking meth-ods. European Journal of Operational Research, 178(2), 514–529.
Paul, D., Agarwal, P., & Chakraborty, S. (2016). Performance appraisal of Indian state police forces using ARAS method. Management Science Letters, 6(5), 361-372.
Prasad, K., & Chakraborty, S. (2018). Application of the modified similarity-based method for cutting fluid selection. Decision Science Letters, 7(3), 273-286.
Prasad, K., Subbaiah, K., & Prasad, M. (2017). Supplier evaluation and selection through DEA-AHP-GRA integrated approach- A case study. Uncertain Supply Chain Management, 5(4), 369-382.
Qin, X.S., Huang, G.H., Chakma, A., & Nie, X.H. (2008). A MCDM based expert system for climate change impact assessment and adaptation planning. A case study for the Georgia basin, Canada. Expert Systems with Applications, 34(3), 2164-2179.
Rathi, R., Khanduja, D., & Sharma, S. (2016). A fuzzy MADM approach for project selection: a six sigma case study. Decision Science Letters, 5(2), 255-268.
Rostampour, S. (2012). An application of TOPSIS for ranking internet web browsers. Decision Science Letters, 1(2), 53-58.
Rostamzadeh, R., & Sofian, S. (2011). Prioritizing effective 7Ms to improve production systems per-formance using fuzzy AHP and fuzzy TOPSIS (Case Study). Expert System Applications, 38, 5166–5177.
Roy, B. (1968). Classement Et Choix en Présence de Points de Vue Multiples (la Méthode ELEC-TRE). La Revue d'Informatique et de Recherche Opérationelle (RIRO), 8, 57–75.
Saaty, T.L. (1980). The analytic hierarchy process. New York: McGraw-Hill.
Saaty, T.L. (2008). Decision making for leaders: The analytic hierarchy process for decisions in a complex world. Pittsburgh, Pennsylvania: RWS Publications.
Sowlati, T., Paradi, J.C., & Suld, C. (2005). Information systems project prioritization using data en-velopment analysis. Mathematical and Computer Modeling, 41(11-12), 1279-1298.
Sun, C.C. (2010). A performance evaluation model by integrating fuzzy AHP and fuzzy TOPSIS methods. Expert System Applications, 37(12), 7745–7754.
Tsoutsos, T., Drandaki, M., Frantzeskaki, N., Iosifidis, E., & Kiosses, I. (2009). Sustainable energy planning by using multi-criteria analysis application in the island of crete. Energy Policy, 37, 1587-1600.
Tzeng, G.H., Lin, C.W., & Opricovic, S. (2005). Multi-criteria analysis of alternative-fuel buses for public transportation. Energy Policy, 33, 1373-1383.
Vaillancourt, K., & Waaub, J.P. (2004). Equity in international greenhouse gases abatement scenarios: A multi criteria approach. European Journal of Operational Research, 153, 489-505.
Velasquez, M., & Hester, P.T. (2013). An analysis of multi-criteria decision making methods. Interna-tional Journal of Operations Research, 10(2), 56-66.
Viteikiene, M., & Zavadskas, E.K. (2007). Evaluating the sustainability of Vilnius city residential are-as. Journal of Civil Engineering and Management, 8(2), 149-155.
Yang, C.L., Chuang, S.P., & Huang, R.H. (2009). Manufacturing evaluation system based on AHP/ANP approach for wafer fabricating industry. Expert System Application, 36, 11369–11377.
Yazdani-Chamzini, A., & Yakhchali, S. (2012). Handling equipment Selection in open pit mines by using an integrated model based on group decision making. International Journal of Industrial En-gineering Computations, 3(5), 907-924.
Yoon, K. (1987). A reconciliation among discrete compromise situations. Journal of Operational Re-search Society, 38 (3), 277–286.
Zare, A., Feylizadeh, M., Mahmoudi, A., & Liu, S. (2018). Suitable computerized maintenance man-agement system selection using grey group TOPSIS and fuzzy group VIKOR: A case study. Deci-sion Science Letters, 7(4), 341-358.
Zavadskas, E.K., Kaklauskas, A., Turskis, Z., & Tamošaitien, J. (2008). Selection of the effective dwelling house walls by applying attributes values determined at intervals. Journal of Civil Engi-neering and Management, 14(2), 85-93.
Zavadskas, E.K., & Turskis, Z. (2010). A new additive ratio assessment (ARAS) method in multicrite-ria decision‐making. Technological and Economic Development of Economy, 16(2), 159-172.
Zavadskas, E.K., Turskis, Z., & Vilutiene, T. (2010). Multiple criteria analysis of foundation instal-ment alternatives by applying Additive Ratio Assessment (ARAS) method. Archives of Civil and Mechanical Engineering, 10(3), 123-141.
Adalı, E., & Işık, A. (2017). The multi-objective decision making methods based on MULTIMOORA and MOORA for the laptop selection problem. International Journal of Industrial Engineering, Springer, 13, 229-237.
Andruškevicius, A. (2005). Evaluation of contractors by using COPRAS - The multiple criteria meth-od. Technological and Economic Development of Economy, 11(3), 158–169.
Anyaeche, C., Ighravwe, D., & Asokeji, T. (2017). Project portfolio selection of banking services us-ing COPRAS and Fuzzy-TOPSIS. Journal of Project Management, 2(2), 51-62.
Banaitiene, N., Banaitis, A., Kaklauskas, A., & Zavadskas, E.K. (2008). Evaluating the life cycle of a building: A multivariant and multiple criteria approach. Omega, 36(3), 429 – 441.
Barak, S., Mehrgini, B., Maghsoudlou, H., & Branch, Q. (2014). Multi-criteria decision making ap-proach to candidate well selection for hydraulic fracturing treatment, CIE44 & IMSS‟14 Proceed-ings, 14-16 October, Istanbul / Turkey, 2092-2106.
Bhattacharyya, A., & Chakraborty, S. (2014). A DEA-TOPSIS-based approach for performance evalu-ation of Indian technical institutes. Decision Science Letters, 3(3), 397-410.
Bhole, G.P., & Deshmukh, T. (2018). Multi-criteria decision making (MCDM) methods and its appli-cations. International Journal for Research in Applied Science & Engineering Technology (IJRA-SET), 6(5), 899-915.
Biswas, T., & Saha, P. (2019). Selection of commercially available scooters by new MCDM method. International Journal of Data and Network Science, 3(2), 137-144.
Bose, G., & Chatterjee, N. (2016). Fuzzy hybrid MCDM approach for selection of wind turbine ser-vice technicians. Management Science Letters, 6(1), 1-18.
Brans, J.P. (1982). L’ingénièrie de la décision; Elaboration d’instruments d’aide à la décision. La méthode PROMETHEE. Organized by Nadeau, R. and Landry, M., L’aide à la décision: Nature, Instruments et Perspectives d’Avenir, Québec, Canada, Presses de l’Université Laval, 183-213.
Brauers, W.K.M., & Zavadskas, E.K. (2006). The MOORA method and its applications to privatiza-tion in a transition economy. Control and cybernetics, 35(2), 445-469.
Brauers, W.K.M., & Zavadskas, E.K. (2009). Multi objectives optimization with discrete alternatives on the basis of ratio analysis. Intellectual economics, 2(6), 30-41.
Buckley, J.J. (1985). Fuzzy hierarchical analysis. Fuzzy Sets Systems, 17(1), 233–247.
Bulut, E., Duru, O., Keçeci, T., & Yoshida, S. (2012). Use of consistency index, expert prioritization and direct numerical inputs for generic fuzzy-AHP modeling: A process model for shipping asset management. Expert Systems with Applications, 39(2), 1911–1923.
Celik, M., Deha, E.I., & Ozok, A.F. (2009). Application of fuzzy extended AHP methodology on ship-ping registry selection: The case of Turkish maritime industry. Expert Systems with Applications, 36(1), 190–198.
Chaghooshi, A., Arab, A., & Dehshiri, S. (2016). A fuzzy hybrid approach for project manager selec-tion. Decision Science Letters, 5(3), 447-460.
Chang, D.Y. (1996). Applications of the extent analysis method on Fuzzy AHP. European Journal of Operational Research, 95(3), 649–655.
Chatterjee, N., & Bose, G. (2013a). Selection of vendors for wind farm under fuzzy MCDM environ-ment. International Journal of Industrial Engineering Computations, 4(4), 535-546.
Chatterjee, N., & Bose, G. (2013b). A COPRAS-F base multi-criteria group decision making approach for site selection of wind farm. Decision Science Letters, 2(1), 1-10.
Chatterjee, P., & Chakraborty, S. (2014). Flexible manufacturing system selection using preference ranking methods: A comparative study, International Journal of Industrial Engineering Computa-tions, 5, 315–338.
Chung, E.S., & Lee, K.S. (2009). Prioritization of water management for sustainability using hydro-logic simulation model and multi criteria decision making techniques. Journal of Environmental Management, 90, 1502-1511.
Das, M.C., Sarkar, B., & Ray, S. (2012). A framework to measure relative performance of indian tech-nical institutions using integrated fuzzy AHP and COPRAS methodology. Socio-economic Plan-ning Sciences, 46, 230–241.
Dey, S., & Chakraborty, S. (2016). A study on the machinability of some metal alloys using grey TOPSIS method. Decision Science Letters, 5(1), 31-44.
Durán, O., & Aguilo, J. (2008). Computer-aided machine tool selection based on a fuzzy-AHP ap-proach. Expert Systems with Applications, 34, 1787–1794.
Efendigil, T., Önüt, S., & Kongar, E. (2008). A holistic approach for selecting a third-party reverse lo-gistics provider in the presence of vagueness. Computers & Industrial Engineering, 54, 269-286.
Garg, R., & Jain, D. (2017). Fuzzy multi-attribute decision making evaluation of e-learning websites using FAHP, COPRAS, VIKOR, WDBA. Decision Science Letters, 6(4), 351-364.
Geldermann, J., Spengler, T., & Rentz, O. (2000). Fuzzy outranking for environmental assessment. Case study: Iron and steel making industry. Fuzzy Sets and Systems, 115(1), 45-65.
Ghadikolaei, S., Esbouei S.K., & Antucheviciene, J. (2014). Applying fuzzy MCDM for financial per-formance evaluation of Iranian companies. Technological and Economic Development of Economy, 20(2), 274-291.
Hwang, C.L., Lai, Y.J., & Liu, T.Y. (1993). A new approach for multiple objective decision making. Computers and Operational Research, 20(8), 889–899.
Hwang, C.L., & Yoon, K. (1981). Multiple attributes decision making methods and applications. Ber-lin: Springer.
Işık, A., & Adalı, E. (2016). A comparative study for the agricultural tractor selection problem. Deci-sion Science Letters, 5(4), 569-580.
Kaklauskas, A., Zavadskas, E.K., Raslanas, S., Ginevicius, R., Komka, A., & Malinauskas, P. (2006). Selection of low e-windows in retrofit of public buildings by applying multiple criteria method COPRAS: A Lithuanian case. Energy and Buildings, 38(5), 454-462.
Karande, P., & Chakraborty, S. (2012). A Fuzzy-MOORA approach for ERP system selection. Deci-sion Science Letters, 1(1), 11-21.
Karande, P., Zavadskas, E.K., & Chakraborty, S. (2016). A study on the ranking performance of some MCDM methods for industrial robot selection problems. International Journal of Industrial Engi-neering Computations, 7(3), 399-422.
Koganti, V., Menikonda, N., Anbuudayasankar, S., Krishnaraj, T., Athhukuri, R., & Vastav, M. (2019). GRAHP TOP model for supplier selection in Supply Chain: A hybrid MCDM approach. Decision Science Letters, 8(1), 65-80.
Kowalski, K., Stagl, S., Madlener, R., & Omann, I. (2009). Sustainable energy futures: Methodologi-cal challenges in combining scenarios and participatory multi-criteria analysis. European Journal of Operational Research, 197, 1063–1074.
Kumar, J., & Roy, N. (2010). Hybrid method for vendor selection using neural network. International Journal of Computer Applications, 11, 35-40.
Kundakcı, N., & Işık, A. (2016). Integration of MACBETH and COPRAS methods to select air com-pressor for a textile company. Decision Science Letters, 5(3), 381-394.
Kundakcı, N., Işık, A., & Adalı, E. (2015). AHP ve MOORA Yöntemleri ile Klima Seçimi, Uluslararası Katılımlı Üretim AraĢtırmaları Sempozyumu, 14-16 October, Ege University, Ġzmir.
Liu, F., Ding, F.Y., & Lall, V. (2000). Using data envelopment analysis to compare vendors for vendor selection and performance improvement. Supply Chain Management: An International Journal, 5, 143-150.
Madic, M., Markovic, D., Petrovic, G., & Radovanovic, M. (2014). Application of copras method for supplier selection. The 5th International Conference “Transport and Logistics”.
Madurika, H.K.G.M., & Hemakumara, G.P.T.S. (2015). GIS based analysis for suitability location finding in the residential development areas of greater Matara region. International Journal of Sci-entific & Technology Research, 4(8), 96-105.
Marzouk, M., & Abdelakder, E. (2019). On the use of multi-criteria decision making methods for min-imizing environmental emissions in construction projects. Decision Science Letters, 8(4), 373-392.
Mirahmadi, S., Attafar, A., & Ketabi, S. (2018). Developing a fuzzy ANP model for performance ap-praisal based on firm strategy. Decision Science Letters, 7(3), 243-256.
Mitra, S., & Goswami, S.S. (2019a). Selection of the desktop computer model by AHP-TOPSIS hybrid MCDM methodology. International Journal of Research and Analytical Reviews, 6(1), 784-790.
Mitra, S., & Goswami, S.S. (2019b). Application of integrated MCDM technique (AHP-SAW) for the selection of best laptop computer model. International Journal for Research in Engineering Appli-cation & Management, 4(12), 1-6.
Mitra, S., & Goswami, S.S. (2019c). Application of simple average weighting optimization method in the selection of best desktop computer model. Advanced Journal of Graduate Research, 6(1), 60-68.
Mitra, S., & Kundu, S. (2017). Application of analytic hierarchy process for domestic refrigerator se-lection. International Journal of Emerging Technologies in Engineering Research, 5(12), 126-132.
Mitra, S., & Kundu, S. (2018). Application of TOPSIS for best domestic refrigerator selection. Inter-national Journal of Research and Analytical Reviews, 5(3), 226-231.
Opricovic, S., & Tzeng, G.H. (2004). The compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. European Journal of Operational Research, 56(2), 445–455.
Opricovic, S., & Tzeng, G.H. (2007). Extended VIKOR method in comparison with outranking meth-ods. European Journal of Operational Research, 178(2), 514–529.
Paul, D., Agarwal, P., & Chakraborty, S. (2016). Performance appraisal of Indian state police forces using ARAS method. Management Science Letters, 6(5), 361-372.
Prasad, K., & Chakraborty, S. (2018). Application of the modified similarity-based method for cutting fluid selection. Decision Science Letters, 7(3), 273-286.
Prasad, K., Subbaiah, K., & Prasad, M. (2017). Supplier evaluation and selection through DEA-AHP-GRA integrated approach- A case study. Uncertain Supply Chain Management, 5(4), 369-382.
Qin, X.S., Huang, G.H., Chakma, A., & Nie, X.H. (2008). A MCDM based expert system for climate change impact assessment and adaptation planning. A case study for the Georgia basin, Canada. Expert Systems with Applications, 34(3), 2164-2179.
Rathi, R., Khanduja, D., & Sharma, S. (2016). A fuzzy MADM approach for project selection: a six sigma case study. Decision Science Letters, 5(2), 255-268.
Rostampour, S. (2012). An application of TOPSIS for ranking internet web browsers. Decision Science Letters, 1(2), 53-58.
Rostamzadeh, R., & Sofian, S. (2011). Prioritizing effective 7Ms to improve production systems per-formance using fuzzy AHP and fuzzy TOPSIS (Case Study). Expert System Applications, 38, 5166–5177.
Roy, B. (1968). Classement Et Choix en Présence de Points de Vue Multiples (la Méthode ELEC-TRE). La Revue d'Informatique et de Recherche Opérationelle (RIRO), 8, 57–75.
Saaty, T.L. (1980). The analytic hierarchy process. New York: McGraw-Hill.
Saaty, T.L. (2008). Decision making for leaders: The analytic hierarchy process for decisions in a complex world. Pittsburgh, Pennsylvania: RWS Publications.
Sowlati, T., Paradi, J.C., & Suld, C. (2005). Information systems project prioritization using data en-velopment analysis. Mathematical and Computer Modeling, 41(11-12), 1279-1298.
Sun, C.C. (2010). A performance evaluation model by integrating fuzzy AHP and fuzzy TOPSIS methods. Expert System Applications, 37(12), 7745–7754.
Tsoutsos, T., Drandaki, M., Frantzeskaki, N., Iosifidis, E., & Kiosses, I. (2009). Sustainable energy planning by using multi-criteria analysis application in the island of crete. Energy Policy, 37, 1587-1600.
Tzeng, G.H., Lin, C.W., & Opricovic, S. (2005). Multi-criteria analysis of alternative-fuel buses for public transportation. Energy Policy, 33, 1373-1383.
Vaillancourt, K., & Waaub, J.P. (2004). Equity in international greenhouse gases abatement scenarios: A multi criteria approach. European Journal of Operational Research, 153, 489-505.
Velasquez, M., & Hester, P.T. (2013). An analysis of multi-criteria decision making methods. Interna-tional Journal of Operations Research, 10(2), 56-66.
Viteikiene, M., & Zavadskas, E.K. (2007). Evaluating the sustainability of Vilnius city residential are-as. Journal of Civil Engineering and Management, 8(2), 149-155.
Yang, C.L., Chuang, S.P., & Huang, R.H. (2009). Manufacturing evaluation system based on AHP/ANP approach for wafer fabricating industry. Expert System Application, 36, 11369–11377.
Yazdani-Chamzini, A., & Yakhchali, S. (2012). Handling equipment Selection in open pit mines by using an integrated model based on group decision making. International Journal of Industrial En-gineering Computations, 3(5), 907-924.
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