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• [1] Durmuşoğlu, Semra., Köker, M. Sefa., "Türkiye'de Endüstriyel Robot Kullanımı", /sayfa/Semra_Durmusoglu-Turkiyede_Endustriyel_Robot_Kullanimi.html , Temmuz 2007.
• [2] Khouja, M., and Offodile, O.F., The industrial robot selection problem: literature review and directions for future research, IIE Transactions, 26(4) (1994)50-61.
• [3] Goh, C.-H., Analytic Hierarchy Process for robot selection, Journal of Manufacturing Systems, 16(1997) 5, 381-386.
• [4] Braglia, M. and Petroni, A., Evaluating and selecting investments in industrial robots, International Journal of Production Research, 37(1999) 18, 4157- 4178.
• [5] Parkan, C., and Wu., M-L., Decision -making and performance measurement models with application to robot selection, Computers and Industrial Engineering, 36(1999) 503-523.
• [6] Layek, A.M. and Lars, J.R. Algorithm based decision support system for the concerted selection of equipment in machining/assembly cells, International Journal of Production Research, 38 (2000) 2, 323- 339.
• [7] Khouja, M., Booth, D. E., Suh, M., and MahaneyJr, J. K. Statistical procedures for task assignment and robot selection in assembly cells, International Journal of Computer Integrated Manufacturing, 13 (2000) 2, 95- 106.
• [8] Chu, T-C., and Lin, Y.-C. A fuzzy topsis method for robot selection, International Journal of Advanced Manufacturing Technology, 21(2003) 284–290.
• [9] Bhangale, P.P., Agrawal, V.P., and Saha, S.K. Attribute based specification, comparison and selection of a robot, Mechanism and Machine Theory, 39(2004) 1345–1366.
• [10] Kapoor V., and Tak, S.S. Fuzzy application to the Analytic Hierarchy Process for robot selection, Fuzzy Optimization And Decision Making, 4(2005) 209–234.
• [11] Rao, R. V., Padmanabhan, K.K. Selection, identification and comparison of industrial robots using digraph and matrix methods, Robotics and Computer-Integrated Manufacturing, 22(2006), 373–383.
• [12] Karsak, E. E. Robot selection using an integrated approach based on quality function deployment and fuzzy regression, International Journal of Production Research, 46 (2008)3, 723–738.
• [13] Chatterjee P., Athawale, V. M. and Chakraborty, S. Selection of industrial robot s using compromise ranking and outranking methods, Robotics and Computer-Integrated Manufacturing, 26(2010), 483–489.
• [14] Koulouriotis, D.E., Ketipi, M.K. A fuzzy digraph method for robot evaluation and selection, Expert Systems with Applications, 38(2011) 11901–11910.
• [15] Devi, K. Extension of VIKOR method in intuitionistic fuzzy environment for robot selection, Expert Systems with Applications, 38(2011) 14163–14168.
• [16] Tao, L., Chen, Y., Liu, X., Wang, X. An integrated multiple criteria decision making model applying axiomatic fuzzy set theory, Applied Mathematical Modelling, 36(2012) 5046–5058.
• [17] Karsak, E. E., Sener, Z., Dursun, M. Robot selection using a fuzzy regression-based decision-making approach. International Journal of Production Research, 50(2012)23, 6826-6834.
• [18] Vahdani, B., Tavakkoli-Moghaddam, R., Mousavi, S. M., Ghodratnama, A. Soft computing based on new interval-valued fuzzy modified multi-criteria decision-making method. Applied Soft Computing, 13(2013) 165–172.
• [19] Ghorabaee, M.K., Developing an MCDM method for robot selection with interval type-2 fuzzy sets, Robotics and Computer-Integrated Manufacturing 37 (2016) 221–232
• [20] Ic Y.T., Yurdakul, M., Dengiz, B., Development of a decision support system for robot selection, Robotics and Computer-Integrated Manufacturing 29 (2013) 142–157.
• [21] Yi-Xi, You, J-X., Zhao, X., Liu, H-C., An integrated linguistic MCDM approach for robot evaluation and selection with incomplete weight information, International Journal of Production Research, 54(2016)18, 5452-5467.
• [22] Kumar, D., Datta, S., Mahapatra, S.S., "Application of TODIM (Tomada de Decisión Inerativa Multicritero) for industrial robot selection", Benchmarking: An International Journal, 23(2016)7, 1818-1833.
• [23] Breaza, R.E., Bologa, O., Racza, S.G., Selecting industrial robots for milling applications using AHP, Procedia Computer Science, 122 (2017) 346–353.
• [24] Agrawal, V.P., Kohli V., and Gupta S., Computer aided robot selection: the multi-attribute decision making approach, International Journal of Production Research, 29(1991)1629-1644.
• [25] Parkan Ç., Ming-Lu W., Decision -making and performance measurement models with application to robot selection, Computers and Industrial Eng., 36(1999)503-523.
• [26] Chen, C.T., Extensions of the TOPSIS for group decision-making under fuzzy environment, Fuzzy Sets and Systems, 114(2000)1-9.
• [27] Tsaur,S., H., Chang T.Y., Yen C.H. The evaluation of airline service quality by fuzzy MCDM, Tourism Management, 23(2002)107-115.
• [28] Jee D.H., Kong K.J., A method for optimal material selection aided with decision making theory, Materials and Design , 21(2000)199-206.