How to cite this paper
Aikhuele, D & Turan, F. (2017). Extended TOPSIS model for solving multi-attribute decision making problems in engineering.Decision Science Letters , 6(4), 365-376.
Refrences
Atanassov, K. T. (1986). Intuitionistic fuzzy sets. Fuzzy Sets and Systems, 20(1), 87–96. http://doi.org/10.1016/S0165-0114(86)80034-3
Bai, Z. (2013). An Interval-Valued Intuitionistic Fuzzy TOPSIS Method Based on an Improved Score Function. The Scientific World Journal, 2013, 1–9. http://doi.org/10.1155/2013/879089
Braglia1, M., Frosolini, M., & Montanari, R. (2003). Fuzzy TOPSIS approach for failure mode, effects and criticality analysis. Quality and Reliability Engineering International, 19(5), 425–443.
Chang, K. H., & Wen, T. C. (2010). A novel efficient approach for DFMEA combining 2-tuple and the OWA operator. Expert Systems with Applications, 37(3), 2362–2370. http://doi.org/10.1016/j.eswa.2009.07.026
Chen, S. M., & Chiou, C. H. (2015). A new method for multiattribute decision making based on interval-valued intuitionistic fuzzy sets, PSO techniques and evidential reasoning methodology. Proceedings - International Conference on Machine Learning and Cybernetics, 1(6), 403–409. http://doi.org/10.1109/ICMLC.2014.7009149
Chen, S.-M., & Tan, J.-M. (1994). Handling multicriteria fuzzy decision-making problems based on vague set theory. Fuzzy Sets and Systems, 67(2), 163–172.
Despic, O., & Simonovic, S. P. (2000). Aggregation operators for soft decision making in water resources. Fuzzy Sets and Systems, 115(1), 11–33. http://doi.org/10.1016/S0165-0114(99)00030-5
Hong, D. H., & Choi, C.-H. (2000). Multi-criteria fuzzy decision making problems based on vague set theory. Fuzzy Sets and Systems, 114(1), 103–113. http://doi.org/10.1016/S0165-0114(98)00271-1
Jahromi, M. K. (2012). Multiattribute decision making models and methods using intuitionistic fuzzy sets. International Mathematical Forum, 7(57), 2847–2851. http://doi.org/10.1016/j.jcss.2004.06.002
Li, D.-F. (2005). Multiattribute decision making models and methods using intuitionistic fuzzy sets. Journal of Computer and System Sciences, 70(1), 73–85. http://doi.org/10.1016/j.jcss.2004.06.002
Li, D.-F. (2014). Decision and Game Theory in Management With Intuitionistic Fuzzy Sets. Studies in Fuzziness and Soft Computing, 308, 1–462. http://doi.org/10.1007/978-3-642-40712-3
Lin, L., Yuan, X. H., & Xia, Z. Q. (2007). Multicriteria fuzzy decision-making methods based on intuitionistic fuzzy sets. Journal of Computer and System Sciences, 73(1), 84–88. http://doi.org/10.1016/j.jcss.2006.03.004
Liu, H.-C., Liu, L., & Li, P. (2015). Failure mode and effects analysis using intuitionistic fuzzy hybrid TOPSIS approach. Soft Comput, 19, 1085–1098. http://doi.org/10.1007/s00500-014-1321-x
Liu, M., & Ren, H. (2014). A New Intuitionistic Fuzzy Entropy and Application in Multi-Attribute Decision Making. Information, 5(4), 587–601. http://doi.org/10.3390/info5040587
Liu, P., & Zhang, L. (2014). The Extended VIKOR Method for Multiple Criteria Decision Making Problem Based on Neutrosophic Hesitant Fuzzy Set.
Saurav Datta, Chitrasen Samantra, Siba Sankar Mahapatra, Goutam Mondal, Partha Sarathi Chakraborty, G. M. (2013). Selection of internet assessment vendor using TOPSIS method in fuzzy environment. International Journal of Business Performance and Supply Chain Modelling, 5(1), 1–27. http://doi.org/10.1504/IJBPSCM.2013.051645
Song, W., Ming, X., Wu, Z., & Zhu, B. (2013). Failure modes and effects analysis using integrated weight-based fuzzy TOPSIS. International Journal of Computer Integrated Manufacturing, 26(12), 1172–1186. http://doi.org/10.1080/0951192X.2013.785027
Wan, S. P., & Li, D. F. (2015). Fuzzy mathematical programming approach to heterogeneous multiattribute decision-making with interval-valued intuitionistic fuzzy truth degrees. Information Sciences, 325, 484–503. http://doi.org/10.1016/j.ins.2015.07.014
Wu, J. (2015). Consistency in MCGDM Problems with Intuitionistic Fuzzy Preference Relations Based on an Exponential Score Function. Group Decision and Negotiation, 25(2), 399–420. http://doi.org/10.1007/s10726-015-9447-5
Xu, Z. (2007). Intuitionistic preference relations and their application in group decision making. Information Sciences, 177(11), 2363–2379. http://doi.org/10.1016/j.ins.2006.12.019
Xu, Z. (2014). Intuitionistic preference modeling and interactive decision making. In Studies in Fuzziness and Soft Computing (pp. 195–223). http://doi.org/10.1007/978-3-642-28403-8
Xu, Z., & Liao, H. (2015). A survey of approaches to decision making with intuitionistic fuzzy preference relations. Knowledge-Based Systems, 80, 131–142. http://doi.org/10.1016/j.knosys.2014.12.034
Xu, Z., Member, S., & Liao, H. (2013). Intuitionistic fuzzy analytic hierarchy process. IEEE Transactions on Fuzzy Systems, 22(4), 1. http://doi.org/10.1109/TFUZZ.2013.2272585
Ye, J. (2010). Fuzzy decision-making method based on the weighted correlation coefficient under intuitionistic fuzzy environment. European Journal of Operational Research, 205(1), 202–204. http://doi.org/10.1016/j.ejor.2010.01.019
Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8, 338–353. http://doi.org/10.1016/S0019-9958(65)90241-X
Bai, Z. (2013). An Interval-Valued Intuitionistic Fuzzy TOPSIS Method Based on an Improved Score Function. The Scientific World Journal, 2013, 1–9. http://doi.org/10.1155/2013/879089
Braglia1, M., Frosolini, M., & Montanari, R. (2003). Fuzzy TOPSIS approach for failure mode, effects and criticality analysis. Quality and Reliability Engineering International, 19(5), 425–443.
Chang, K. H., & Wen, T. C. (2010). A novel efficient approach for DFMEA combining 2-tuple and the OWA operator. Expert Systems with Applications, 37(3), 2362–2370. http://doi.org/10.1016/j.eswa.2009.07.026
Chen, S. M., & Chiou, C. H. (2015). A new method for multiattribute decision making based on interval-valued intuitionistic fuzzy sets, PSO techniques and evidential reasoning methodology. Proceedings - International Conference on Machine Learning and Cybernetics, 1(6), 403–409. http://doi.org/10.1109/ICMLC.2014.7009149
Chen, S.-M., & Tan, J.-M. (1994). Handling multicriteria fuzzy decision-making problems based on vague set theory. Fuzzy Sets and Systems, 67(2), 163–172.
Despic, O., & Simonovic, S. P. (2000). Aggregation operators for soft decision making in water resources. Fuzzy Sets and Systems, 115(1), 11–33. http://doi.org/10.1016/S0165-0114(99)00030-5
Hong, D. H., & Choi, C.-H. (2000). Multi-criteria fuzzy decision making problems based on vague set theory. Fuzzy Sets and Systems, 114(1), 103–113. http://doi.org/10.1016/S0165-0114(98)00271-1
Jahromi, M. K. (2012). Multiattribute decision making models and methods using intuitionistic fuzzy sets. International Mathematical Forum, 7(57), 2847–2851. http://doi.org/10.1016/j.jcss.2004.06.002
Li, D.-F. (2005). Multiattribute decision making models and methods using intuitionistic fuzzy sets. Journal of Computer and System Sciences, 70(1), 73–85. http://doi.org/10.1016/j.jcss.2004.06.002
Li, D.-F. (2014). Decision and Game Theory in Management With Intuitionistic Fuzzy Sets. Studies in Fuzziness and Soft Computing, 308, 1–462. http://doi.org/10.1007/978-3-642-40712-3
Lin, L., Yuan, X. H., & Xia, Z. Q. (2007). Multicriteria fuzzy decision-making methods based on intuitionistic fuzzy sets. Journal of Computer and System Sciences, 73(1), 84–88. http://doi.org/10.1016/j.jcss.2006.03.004
Liu, H.-C., Liu, L., & Li, P. (2015). Failure mode and effects analysis using intuitionistic fuzzy hybrid TOPSIS approach. Soft Comput, 19, 1085–1098. http://doi.org/10.1007/s00500-014-1321-x
Liu, M., & Ren, H. (2014). A New Intuitionistic Fuzzy Entropy and Application in Multi-Attribute Decision Making. Information, 5(4), 587–601. http://doi.org/10.3390/info5040587
Liu, P., & Zhang, L. (2014). The Extended VIKOR Method for Multiple Criteria Decision Making Problem Based on Neutrosophic Hesitant Fuzzy Set.
Saurav Datta, Chitrasen Samantra, Siba Sankar Mahapatra, Goutam Mondal, Partha Sarathi Chakraborty, G. M. (2013). Selection of internet assessment vendor using TOPSIS method in fuzzy environment. International Journal of Business Performance and Supply Chain Modelling, 5(1), 1–27. http://doi.org/10.1504/IJBPSCM.2013.051645
Song, W., Ming, X., Wu, Z., & Zhu, B. (2013). Failure modes and effects analysis using integrated weight-based fuzzy TOPSIS. International Journal of Computer Integrated Manufacturing, 26(12), 1172–1186. http://doi.org/10.1080/0951192X.2013.785027
Wan, S. P., & Li, D. F. (2015). Fuzzy mathematical programming approach to heterogeneous multiattribute decision-making with interval-valued intuitionistic fuzzy truth degrees. Information Sciences, 325, 484–503. http://doi.org/10.1016/j.ins.2015.07.014
Wu, J. (2015). Consistency in MCGDM Problems with Intuitionistic Fuzzy Preference Relations Based on an Exponential Score Function. Group Decision and Negotiation, 25(2), 399–420. http://doi.org/10.1007/s10726-015-9447-5
Xu, Z. (2007). Intuitionistic preference relations and their application in group decision making. Information Sciences, 177(11), 2363–2379. http://doi.org/10.1016/j.ins.2006.12.019
Xu, Z. (2014). Intuitionistic preference modeling and interactive decision making. In Studies in Fuzziness and Soft Computing (pp. 195–223). http://doi.org/10.1007/978-3-642-28403-8
Xu, Z., & Liao, H. (2015). A survey of approaches to decision making with intuitionistic fuzzy preference relations. Knowledge-Based Systems, 80, 131–142. http://doi.org/10.1016/j.knosys.2014.12.034
Xu, Z., Member, S., & Liao, H. (2013). Intuitionistic fuzzy analytic hierarchy process. IEEE Transactions on Fuzzy Systems, 22(4), 1. http://doi.org/10.1109/TFUZZ.2013.2272585
Ye, J. (2010). Fuzzy decision-making method based on the weighted correlation coefficient under intuitionistic fuzzy environment. European Journal of Operational Research, 205(1), 202–204. http://doi.org/10.1016/j.ejor.2010.01.019
Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8, 338–353. http://doi.org/10.1016/S0019-9958(65)90241-X