How to cite this paper
Quynh, M., Thu, T., Huong, Q., Van, A., Van, H & Van, D. (2020). Distribution center location selection using a novel multi criteria decision-making approach under interval neutrosophic complex sets.Decision Science Letters , 9(3), 501-510.
Refrences
Abdel-Basset, M., & Mohamed, M. (2019). A novel and powerful framework based on neutrosophic sets to aid patients with cancer. Future Generation Computer Systems, 98, 144-153.
Abdel-Basset, M., Chang, V., Gamal, A., & Smarandache, F. (2019). An integrated neutrosophic ANP and VIKOR method for achieving sustainable supplier selection: A case study in importing field. Computers in Industry, 106, 94-110.
Ali, M., & Smarandache, F. (2017). Complex neutrosophic set. Neural Computing and Applications, 28(7), 1817-1834.
Ali, M., Dat, L.Q., Son, L.H., & Smarandache, F. (2018). Interval Complex Neutrosophic Set: Formulation and Applications in Decision-Making. International Journal of Fuzzy Systems, 20(3), 986-999.
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 & Computer Modelling, 53(1-2), 98-09.
Chu, T. C., & Hsu, W. C. (2016). Evaluating Distribution Centers via a Maximizing Set and Minimizing Set Based Fuzzy MCDM Approach. Journal of Business and Economics, 7(1), 81-93.
Chen, C. T. (2001). A fuzzy approach to select the location of the distribution center. Fuzzy Sets and Systems, 118(1), 65-73.
Tamir, D. E., Rishe, N. D., & Kandel, A. (2015). Complex Fuzzy Sets and Complex Fuzzy Logic an Overview of Theory and Applications in D.E. Tamir et al. (eds.), Fifty Years of Fuzzy Logic and its Applications, Studies in Fuzziness and Soft Computing, 326, 661-681.
Das, S., Kumar, S., Kar, S., & Pal, T. (2019). Group decision making using neutrosophic soft matrix: An algorithmic approach. Journal of King Saud University-Computer and Information Sciences, 31(4), 459-468.
Greenfield, S., Chiclana, F., & Dick, S. (2016, July). Interval-valued complex fuzzy logic. In 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (pp. 2014-2019). IEEE.
Hua, X., Hu, X., & Yuan, W. (2016). Research optimization on logistics distribution center location based on adaptive particle swarm algorithm. Optik - International Journal for Light and Electron Optics, 127(20), 8443-8450.
Hiassat, A., Diabat, A., & Rahwan, I. (2017). A genetic algorithm approach for location-inventory-routing problem with perishable products. Journal of Manufacturing Systems, 42, 93-103.
Li, S., & Wei, Z. (2018) A hybrid approach based on the analytic hierarchy process and 2-tuple hybrid ordered weighted averaging for location selection of distribution centers, PLoS ONE, 13(11), e0206966.
Liu, P., & You, X. (2019). Bidirectional projection measure of linguistic neutrosophic numbers and their application to multi-criteria group decision making. Computers & Industrial Engineering, 128, 447-457.
Peng, J. J., Wang, J. Q., Wang, J., Zhang, H. Y., & Chen, X. H. (2014). Simplified neutrosophic sets and their applications in multi-criteria group decision-making problems. International Journal of Systems Science, 47(10), 2342-2358.
Pham, T. Y., Ma, H. M., Yeo, G. T. (2017). Application of fuzzy delphi TOPSIS to locate logistics centers in Vietnam: The Logisticians’ perspective. Asian Journal of Shipping & Logistics, 33(4), 211-219.
Pramanik, S., Dalapati, S., & Roy, T. K. (2016). Logistics Center Location Selection Approach Based on Neutrosophic Multi-Criteria Decision Making, 161-174; in Florentin Smarandache, Surapati Pramanik. New Trends in Neutrosophic Theory and Applications. 2016. hal-01408066.
Rahmani, A., & Mirhassani, S. A. (2014). A hybrid Firefly-Genetic Algorithm for the capacitated facility location problem. Information Sciences, 283(4), 70-78.
Rao, C., Goh, M., Zhao, Y., & Zheng, J. (2015). Location selection of city logistics centers under sustainability. Transportation Research Part D Transport & Environment, 36, 29-44.
Ramot, D., Milo, R., Friedman, M., & Kandel, A. (2002). Complex fuzzy sets. IEEE Transactions on Fuzzy Systems, 10(2), 171-186.
Smarandache, F. (1998). Neutrosophy: Neutrosophic Probability, Set, and Logic. Analytic Synthesis Synthetic Analysis. American Research Press.
Selvachandran, G., Pal, M., Alhawari, T. A. A., & Salleh, A. R. (2018). Interval-valued complex fuzzy sets and its application to the Malaysian economy. International Journal of Fuzzy System Applications, 7(1), 22-31.
Selvachandran, G., Pal, M., Alhawari, T. A. A., & Salleh, A. R. (2018). Interval-Valued Complex Fuzzy Sets and Its Application to the Malaysian Economy. International Journal of Fuzzy System Applications, 7(1), 22-31.
Singh, R. K., Chaudhary, N., & Saxena, N. (2018). Selection of warehouse location for a global supply chain: A case study. IIMB Management Review, 30, 343-356.
Sodenkamp, M. A., Tavana, M., & Caprio, D. D. (2018). An aggregation method for solving group multi-criteria decision-making problems with single-valued neutrosophic sets. Applied Soft Computing, 71, 715-727.
Toro, E. M., Franco, J. F., & Echeverri, M. G. (2017). A Multi-Objective Model for the Green Capacitated Location-Routing Problem Considering Environmental Impact. Computers & Industrial Engineering, 110, 114-125.
Wang, H., Smarandache, F., Zhang, Y., & Sunderraman, R. (2005). Single valued neutrosophic sets, Proc Of 10th 476 Int Conf on Fuzzy Theory and Technology, Salt Lake City, 477 Utah. 2005, from: http://fs.unm.edu/SingleValuedNeutrosophicSets.pdf
Wang, H., Smarandache, F., Sunderraman, R., & Zhang, Y. Q. (2005). Interval Neutrosophic Sets and Logic: Theory and Applications in Computing. Logic in Computer Science. arXiv:cs/0505014 [cs.LO].
Yazdanbakhsh, O., & Dick, C. (2018). A systematic review of complex fuzzy sets and logic. Fuzzy Sets and Systems, 338(1), 1-22.
Zhalechian, M., Tavakkoli-Moghaddam R., & Rahimi, Y. (2017). A self-adaptive evolutionary algorithm for a fuzzy multi-objective hub location problem: An integration of responsiveness and social responsibility. Engineering Applications of Artificial Intelligence, 62, 1-16.
Abdel-Basset, M., Chang, V., Gamal, A., & Smarandache, F. (2019). An integrated neutrosophic ANP and VIKOR method for achieving sustainable supplier selection: A case study in importing field. Computers in Industry, 106, 94-110.
Ali, M., & Smarandache, F. (2017). Complex neutrosophic set. Neural Computing and Applications, 28(7), 1817-1834.
Ali, M., Dat, L.Q., Son, L.H., & Smarandache, F. (2018). Interval Complex Neutrosophic Set: Formulation and Applications in Decision-Making. International Journal of Fuzzy Systems, 20(3), 986-999.
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 & Computer Modelling, 53(1-2), 98-09.
Chu, T. C., & Hsu, W. C. (2016). Evaluating Distribution Centers via a Maximizing Set and Minimizing Set Based Fuzzy MCDM Approach. Journal of Business and Economics, 7(1), 81-93.
Chen, C. T. (2001). A fuzzy approach to select the location of the distribution center. Fuzzy Sets and Systems, 118(1), 65-73.
Tamir, D. E., Rishe, N. D., & Kandel, A. (2015). Complex Fuzzy Sets and Complex Fuzzy Logic an Overview of Theory and Applications in D.E. Tamir et al. (eds.), Fifty Years of Fuzzy Logic and its Applications, Studies in Fuzziness and Soft Computing, 326, 661-681.
Das, S., Kumar, S., Kar, S., & Pal, T. (2019). Group decision making using neutrosophic soft matrix: An algorithmic approach. Journal of King Saud University-Computer and Information Sciences, 31(4), 459-468.
Greenfield, S., Chiclana, F., & Dick, S. (2016, July). Interval-valued complex fuzzy logic. In 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (pp. 2014-2019). IEEE.
Hua, X., Hu, X., & Yuan, W. (2016). Research optimization on logistics distribution center location based on adaptive particle swarm algorithm. Optik - International Journal for Light and Electron Optics, 127(20), 8443-8450.
Hiassat, A., Diabat, A., & Rahwan, I. (2017). A genetic algorithm approach for location-inventory-routing problem with perishable products. Journal of Manufacturing Systems, 42, 93-103.
Li, S., & Wei, Z. (2018) A hybrid approach based on the analytic hierarchy process and 2-tuple hybrid ordered weighted averaging for location selection of distribution centers, PLoS ONE, 13(11), e0206966.
Liu, P., & You, X. (2019). Bidirectional projection measure of linguistic neutrosophic numbers and their application to multi-criteria group decision making. Computers & Industrial Engineering, 128, 447-457.
Peng, J. J., Wang, J. Q., Wang, J., Zhang, H. Y., & Chen, X. H. (2014). Simplified neutrosophic sets and their applications in multi-criteria group decision-making problems. International Journal of Systems Science, 47(10), 2342-2358.
Pham, T. Y., Ma, H. M., Yeo, G. T. (2017). Application of fuzzy delphi TOPSIS to locate logistics centers in Vietnam: The Logisticians’ perspective. Asian Journal of Shipping & Logistics, 33(4), 211-219.
Pramanik, S., Dalapati, S., & Roy, T. K. (2016). Logistics Center Location Selection Approach Based on Neutrosophic Multi-Criteria Decision Making, 161-174; in Florentin Smarandache, Surapati Pramanik. New Trends in Neutrosophic Theory and Applications. 2016. hal-01408066.
Rahmani, A., & Mirhassani, S. A. (2014). A hybrid Firefly-Genetic Algorithm for the capacitated facility location problem. Information Sciences, 283(4), 70-78.
Rao, C., Goh, M., Zhao, Y., & Zheng, J. (2015). Location selection of city logistics centers under sustainability. Transportation Research Part D Transport & Environment, 36, 29-44.
Ramot, D., Milo, R., Friedman, M., & Kandel, A. (2002). Complex fuzzy sets. IEEE Transactions on Fuzzy Systems, 10(2), 171-186.
Smarandache, F. (1998). Neutrosophy: Neutrosophic Probability, Set, and Logic. Analytic Synthesis Synthetic Analysis. American Research Press.
Selvachandran, G., Pal, M., Alhawari, T. A. A., & Salleh, A. R. (2018). Interval-valued complex fuzzy sets and its application to the Malaysian economy. International Journal of Fuzzy System Applications, 7(1), 22-31.
Selvachandran, G., Pal, M., Alhawari, T. A. A., & Salleh, A. R. (2018). Interval-Valued Complex Fuzzy Sets and Its Application to the Malaysian Economy. International Journal of Fuzzy System Applications, 7(1), 22-31.
Singh, R. K., Chaudhary, N., & Saxena, N. (2018). Selection of warehouse location for a global supply chain: A case study. IIMB Management Review, 30, 343-356.
Sodenkamp, M. A., Tavana, M., & Caprio, D. D. (2018). An aggregation method for solving group multi-criteria decision-making problems with single-valued neutrosophic sets. Applied Soft Computing, 71, 715-727.
Toro, E. M., Franco, J. F., & Echeverri, M. G. (2017). A Multi-Objective Model for the Green Capacitated Location-Routing Problem Considering Environmental Impact. Computers & Industrial Engineering, 110, 114-125.
Wang, H., Smarandache, F., Zhang, Y., & Sunderraman, R. (2005). Single valued neutrosophic sets, Proc Of 10th 476 Int Conf on Fuzzy Theory and Technology, Salt Lake City, 477 Utah. 2005, from: http://fs.unm.edu/SingleValuedNeutrosophicSets.pdf
Wang, H., Smarandache, F., Sunderraman, R., & Zhang, Y. Q. (2005). Interval Neutrosophic Sets and Logic: Theory and Applications in Computing. Logic in Computer Science. arXiv:cs/0505014 [cs.LO].
Yazdanbakhsh, O., & Dick, C. (2018). A systematic review of complex fuzzy sets and logic. Fuzzy Sets and Systems, 338(1), 1-22.
Zhalechian, M., Tavakkoli-Moghaddam R., & Rahimi, Y. (2017). A self-adaptive evolutionary algorithm for a fuzzy multi-objective hub location problem: An integration of responsiveness and social responsibility. Engineering Applications of Artificial Intelligence, 62, 1-16.