How to cite this paper
Chatterjee, N & Bose, G. (2013). A COPRAS-F base multi-criteria group decision making approach for site selection of wind farm.Decision Science Letters , 2(1), 1-10.
Refrences
Antucheviciene, J., Zakarevicius, A., & Zavadskas, E.K. (2011). Measuring Congruence of Ranking Results Applying Particular MCDM Methods. Informatica, 22(3), 319–33.
Awasthi, A., Chauhan, S.S., & Goyal, S.K. (2011). A multi-criteria decision making approach for location planning for urban distribution centers under uncertainty. Mathematical and Computer Modelling, 53, 98–109.
Bale?entis, A., Bale?entis, T. & Brauers, W.K.M. (2012). MULTIMOORA-FG: A multi-objective decision making method for linguistic reasoning with an application to personnel selection. Informatica, 23(2), 173–190.
Banaitiene, N., Banaitis, A., Kaklauskas, A., & Zavadskas, E.K. (2008). Evaluating the life cycle of building: a multivariant and multiple criteria approach. Omega, 36(3), 429–441.
Brauers, W.K.M., & Zavadskas, E.K. (2006). The MOORA method and its application to privatization in a transition economy. Control and Cybernetics, 35 (2), 445 – 469.
Chatterjee, P., Athawale, V.M., & Chakraborty, Sh. (2011). Materials selection using complex proportional assessment and evaluation of mixed data methods. Materials and Design, 32, 851–860.
Chen, C.T. (2000). Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets and Systems, 114, 1-9.
Churchman, C.W., & Ackoff, R.L. (1954). An Approximate Measure of Value Operations Research, 2, 172-180.
Dey, B., Bairagi, B., Sarkar, B. and Sanyal, S. (2012) A MOORA based fuzzy multi-criteria decision making approach for supply chain strategy selection. International Journal of Industrial Engineering Computations, 3, 649–662.
Dubois, D., & Prade, H. (1978). Operations on fuzzy numbers. International Journal of Systems Science, 9, 613–626.
Frost, W., & Aspliden, C. (2009). Characteristics of the Wind, in Spera, D.A. (Ed.), Fundamental Concepts of Wind turbine engineering. 2nd ed., ASME Press, 467-541.
Hwang, C.L., & Yoon, K. (1981). Multiple attribute decision making methods and applications, New York: Springer-Verlag.
Kaklauskas, A., Zavadskas, E.K.. Raslanas, S., Ginevicius, R., Komka, A. & Malinauskas, P. (2006). Selection of low-e window in retrofit of public buildings by applying multiple criteria method COPRAS: A Lithuanian case. Energy and Buildings, 38, 454–462.
Keufmann, A., & Gupta, M.M. (1991). Introduction to Fuzzy Arithmetic: Theory and Application, New York: Van Nostrand Reinhold.
Liang, J. & Pang, J. (2012). Evaluation of the results of multi-attribute group decision-making with linguistic information. Omega, 40, 294–301.
MacCrimon, K.R. (1968). Decision Making Among Multiple–Attribute Alternatives: A Survey and Consolidated Approach, RAND Memorandum, RM-4823-ARPA. The Rand Corporation.
Moradi, J.S., Olfat, L., Ayazi, S.A. & Amiri, M. (2011). Group Decision Making Process for Supplier Selection with VIKOR under Fuzzy Circumstance Case Study: An Iranian Car Parts Supplier. International Bulletin of Business Administration, 10, 62-75.
Naaz, S. Alam, A., & Biswas, R. (2011). Effect of different defuzzification methods in a fuzzy based load balancing application. International Journal of Computer Science, 8(5), 261-267.
Patel, M.R., (2006). Wind and Solar Power Systems: Design, Analysis, and Operation. CRC Press.
Podvezko, V. (2011). The Comparative Analysis of MCDA Methods SAW and COPRAS. Inzinerine Ekonomika-Engineering Economics, 22(2), 134-146.
Roy, B. (1990). Decision-aid and decision-making. European Journal Operational Research, 45, 324–331.
Srinivasan, V. & Shocker, A.D. (1973). Linear programming techniques for multidimensional analysis of privileged. Psychometrika, 38, 337–369.
Tiwari, G.N., & Ghosal, M. K. (2005). Renewable Energy Resources; Basic Principle and Applications. Narosa Publishing House.
Triantaphyllou, E., Shu, B., Nieto Sanchez, S., & Ray, T. (1998). Multi-Criteria Decision Making: An Operations Research Approach. Encyclopedia of Electrical and Electronics Engineering, 15, 175-186.
Xu, Z.S., & Da, Q.L. (2003). An overview of operators for aggregating information. International Journal of Intelligent Systems, 18, 953–969.
Yazdani, M., Alidoosti, A. & Zavadskas, E.K. (2011). Risk analysis of critical infrastructures using fuzzy COPRAS. Ekonomska Istra?ivanja, 24 (4), 27-40.
Zadeh, L.A. (1965). Fuzzy sets. Information and Control, 8, 338–353.
Zagorskas, J., Burinskien?, M., Zavadskas, E., & Turskis, Z. (2007). Urbanistic assessment of city compactness on the basis of GIS applying the COPRAS method. Ekologija, 53, 55–63.
Zavadskas, E.K., & Antuchevi?ien?, J. (2007). Multiple criteria evaluation of rural building’s regeneration alternatives. Building and Environment, 42(1), 436–451.
Zavadskas, E.K., & Kaklauskas, A. (1996). Determination of an efficient contractor by using the new method of multicriteria assessment, in Langford, D. A., Retik, A. (Eds.), International Symposium for “The Organisation and Management of Construction”. Shaping Theory and Practice. Vol. 2: Managing the Construction Project and Managing Risk. CIB W 65; London, Weinheim, New York, Tokyo, Melbourne, Madras. London: E and FN SPON, 94–104.
Zavadskas, E.K. & Turskis, Z. (2008). A New Logarithmic Normalization Method in Games Theory. Informatica. 19(2), 303–314.
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.
Awasthi, A., Chauhan, S.S., & Goyal, S.K. (2011). A multi-criteria decision making approach for location planning for urban distribution centers under uncertainty. Mathematical and Computer Modelling, 53, 98–109.
Bale?entis, A., Bale?entis, T. & Brauers, W.K.M. (2012). MULTIMOORA-FG: A multi-objective decision making method for linguistic reasoning with an application to personnel selection. Informatica, 23(2), 173–190.
Banaitiene, N., Banaitis, A., Kaklauskas, A., & Zavadskas, E.K. (2008). Evaluating the life cycle of building: a multivariant and multiple criteria approach. Omega, 36(3), 429–441.
Brauers, W.K.M., & Zavadskas, E.K. (2006). The MOORA method and its application to privatization in a transition economy. Control and Cybernetics, 35 (2), 445 – 469.
Chatterjee, P., Athawale, V.M., & Chakraborty, Sh. (2011). Materials selection using complex proportional assessment and evaluation of mixed data methods. Materials and Design, 32, 851–860.
Chen, C.T. (2000). Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets and Systems, 114, 1-9.
Churchman, C.W., & Ackoff, R.L. (1954). An Approximate Measure of Value Operations Research, 2, 172-180.
Dey, B., Bairagi, B., Sarkar, B. and Sanyal, S. (2012) A MOORA based fuzzy multi-criteria decision making approach for supply chain strategy selection. International Journal of Industrial Engineering Computations, 3, 649–662.
Dubois, D., & Prade, H. (1978). Operations on fuzzy numbers. International Journal of Systems Science, 9, 613–626.
Frost, W., & Aspliden, C. (2009). Characteristics of the Wind, in Spera, D.A. (Ed.), Fundamental Concepts of Wind turbine engineering. 2nd ed., ASME Press, 467-541.
Hwang, C.L., & Yoon, K. (1981). Multiple attribute decision making methods and applications, New York: Springer-Verlag.
Kaklauskas, A., Zavadskas, E.K.. Raslanas, S., Ginevicius, R., Komka, A. & Malinauskas, P. (2006). Selection of low-e window in retrofit of public buildings by applying multiple criteria method COPRAS: A Lithuanian case. Energy and Buildings, 38, 454–462.
Keufmann, A., & Gupta, M.M. (1991). Introduction to Fuzzy Arithmetic: Theory and Application, New York: Van Nostrand Reinhold.
Liang, J. & Pang, J. (2012). Evaluation of the results of multi-attribute group decision-making with linguistic information. Omega, 40, 294–301.
MacCrimon, K.R. (1968). Decision Making Among Multiple–Attribute Alternatives: A Survey and Consolidated Approach, RAND Memorandum, RM-4823-ARPA. The Rand Corporation.
Moradi, J.S., Olfat, L., Ayazi, S.A. & Amiri, M. (2011). Group Decision Making Process for Supplier Selection with VIKOR under Fuzzy Circumstance Case Study: An Iranian Car Parts Supplier. International Bulletin of Business Administration, 10, 62-75.
Naaz, S. Alam, A., & Biswas, R. (2011). Effect of different defuzzification methods in a fuzzy based load balancing application. International Journal of Computer Science, 8(5), 261-267.
Patel, M.R., (2006). Wind and Solar Power Systems: Design, Analysis, and Operation. CRC Press.
Podvezko, V. (2011). The Comparative Analysis of MCDA Methods SAW and COPRAS. Inzinerine Ekonomika-Engineering Economics, 22(2), 134-146.
Roy, B. (1990). Decision-aid and decision-making. European Journal Operational Research, 45, 324–331.
Srinivasan, V. & Shocker, A.D. (1973). Linear programming techniques for multidimensional analysis of privileged. Psychometrika, 38, 337–369.
Tiwari, G.N., & Ghosal, M. K. (2005). Renewable Energy Resources; Basic Principle and Applications. Narosa Publishing House.
Triantaphyllou, E., Shu, B., Nieto Sanchez, S., & Ray, T. (1998). Multi-Criteria Decision Making: An Operations Research Approach. Encyclopedia of Electrical and Electronics Engineering, 15, 175-186.
Xu, Z.S., & Da, Q.L. (2003). An overview of operators for aggregating information. International Journal of Intelligent Systems, 18, 953–969.
Yazdani, M., Alidoosti, A. & Zavadskas, E.K. (2011). Risk analysis of critical infrastructures using fuzzy COPRAS. Ekonomska Istra?ivanja, 24 (4), 27-40.
Zadeh, L.A. (1965). Fuzzy sets. Information and Control, 8, 338–353.
Zagorskas, J., Burinskien?, M., Zavadskas, E., & Turskis, Z. (2007). Urbanistic assessment of city compactness on the basis of GIS applying the COPRAS method. Ekologija, 53, 55–63.
Zavadskas, E.K., & Antuchevi?ien?, J. (2007). Multiple criteria evaluation of rural building’s regeneration alternatives. Building and Environment, 42(1), 436–451.
Zavadskas, E.K., & Kaklauskas, A. (1996). Determination of an efficient contractor by using the new method of multicriteria assessment, in Langford, D. A., Retik, A. (Eds.), International Symposium for “The Organisation and Management of Construction”. Shaping Theory and Practice. Vol. 2: Managing the Construction Project and Managing Risk. CIB W 65; London, Weinheim, New York, Tokyo, Melbourne, Madras. London: E and FN SPON, 94–104.
Zavadskas, E.K. & Turskis, Z. (2008). A New Logarithmic Normalization Method in Games Theory. Informatica. 19(2), 303–314.
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.