Adar, T., & Delice, E. K. (2019). New integrated approaches based on MC-HFLTS for healthcare waste treatment technology selection. Journal of Enterprise Information Management.
Atanassov, K. (1986). Intuitionistic fuzzy sets. fuzzy sets and systems 20 (1), 87-96.
Atanassov, K. T. (1994). New operations defined over the intuitionistic fuzzy sets. Fuzzy sets and Systems, 61(2), 137-142.
Caniato, M., Tudor, T., & Vaccari, M. (2015). International governance structures for health-care waste management: A systematic review of scientific literature. Journal of Environmental Management, 153, 93-107.
Dorfeshan, Y., Tavakkoli-Moghaddam, R., Mousavi, S.M., & Vahedi-Nouri, B. (2020). A new weighted distance-based approximation methodology for flow shop scheduling group decisions under the interval-valued fuzzy processing time. Applied Soft Computing, 91, 106248.
Davoudabadi, R., Mousavi, S.M., & Mohagheghi, V. (2020). A new last aggregation method of multi-attributes group decision making based on concepts of TODIM, WASPAS and TOPSIS under interval-valued intuitionistic fuzzy uncertainty. Knowledge and Information Systems, 62(4), 1371-1391.
Davoudabadi, R., Mousavi, S. M., Šaparauskas, J., & Gitinavard, H. (2019). Solving construction project selection problem by a new uncertain weighting and ranking based on compromise solution with linear assignment approach. Journal of Civil Engineering and Management, 25(3), 241-251.
Dorfeshan, Y., & Mousavi, S. M. (2019). A group TOPSIS-COPRAS methodology with Pythagorean fuzzy sets considering weights of experts for project critical path problem. Journal of Intelligent & Fuzzy Systems, 36(2), 1375-1387.
Ghram, M., & Frikha, H. M. (2020). Assessing healthcare waste treatment technologies in Tunisia within fuzzy ARAS-H. In 2020 IEEE 13th International Colloquium of Logistics and Supply Chain Management (LOGISTIQUA) (pp. 1-6).
Ghram, M., & Frikha, H. M. (2020). Criteria weight elicitation of fuzzy ARAS-H method for healthcare waste treatment technologies assessment. In 2020 IEEE International Multi-Conference on:“Organization of Knowledge and Advanced Technologies”(OCTA) (pp. 1-5).
Giacchetta, G., & Marchetti, B. (2013). Medical waste management: a case study in a small size hospital of central Italy. Strategic Outsourcing: An International Journal.
Hashemi, H., Bazargan, J., & Mousavi, S. M. (2013). A compromise ratio method with an application to water resources management: an intuitionistic fuzzy set. Water resources management, 27(7), 2029-2051.
Khatibi, V., & Montazer, G. A. (2009). Intuitionistic fuzzy set vs. fuzzy set application in medical pattern recognition. Artificial Intelligence in Medicine, 47(1), 43-52.
Komilis, D., Fouki, A., & Papadopoulos, D. (2012). Hazardous medical waste generation rates of different categories of health-care facilities. Waste management, 32(7), 1434-1441.
Kumar, M., Prasad Yadav, S., & Kumar, S. (2013). Fuzzy system reliability evaluation using time-dependent intuitionistic fuzzy set. International Journal of Systems Science, 44(1), 50-66.
Kuo, T. (2017). A modified TOPSIS with a different ranking index. European journal of operational research, 260(1), 152-160.
Liu, H. C., You, J. X., Lu, C., & Shan, M. M. (2014). Application of interval 2-tuple linguistic MULTIMOORA method for health-care waste treatment technology evaluation and selection. Waste Management, 34(11), 2355-2364.
Liu, H. C., You, J. X., Lu, C., & Chen, Y. Z. (2015). Evaluating health-care waste treatment technologies using a hybrid multi-criteria decision making model. Renewable and Sustainable Energy Reviews, 41, 932-942.
Liu, P., Rani, P., & Mishra, A. R. (2021). A novel Pythagorean fuzzy combined compromise solution framework for the assessment of medical waste treatment technology. Journal of Cleaner Production, 292, 126047.
Lu, C., You, J. X., Liu, H. C., & Li, P. (2016). Health-care waste treatment technology selection using the interval 2-tuple induced TOPSIS method. International journal of environmental research and public health, 13(6), 562.
Mir, M. A., Ghazvinei, P. T., Sulaiman, N. M. N., Basri, N. E. A., Saheri, S., Mahmood, N. Z., ... & Aghamohammadi, N. (2016). Application of TOPSIS and VIKOR improved versions in a multi criteria decision analysis to develop an optimized municipal solid waste management model. Journal of environmental management, 166, 109-115.
Mishra, A. R., Mardani, A., Rani, P., & Zavadskas, E. K. (2020). A novel EDAS approach on intuitionistic fuzzy set for assessment of health-care waste disposal technology using new parametric divergence measures. Journal of Cleaner Production, 272, 122807.
Mishra, A. R., & Rani, P. (2021). Multi-criteria healthcare waste disposal location selection based on Fermatean fuzzy WASPAS method. Complex & Intelligent Systems, 1-16.
Moghiseh, H., Mousavi, S.M., & Patoghi, A. (2019). A new project controlling approach based on earned value management and group decision-making process with triangular intuitionistic fuzzy sets. Journal of Industrial and Systems Engineering, 12(3), 177-195.
Mousavi, S.M., Gitinavard, H., Vahdani, B., & Foroozesh, N. (2019). Hierarchical group compromise ranking methodology based on Euclidean–Hausdorff distance measure under uncertainty: An application to facility location selection problem. Journal of Optimization in Industrial Engineering, 12(2), 93-105.
Mousavi, S.M., Foroozesh, N., Zavadskas, E. K., & Antucheviciene, J. (2020). A new soft computing approach for green supplier selection problem with interval type-2 trapezoidal fuzzy statistical group decision and avoidance of information loss. Soft Computing, 24(16), 12313-12327.
Mousavi, S.M., Gitinavard, H., & Vahdani, B. (2021). ELECTRE I-based group decision methodology with risk preferences in an imprecise setting for flexible manufacturing systems. Journal of Optimization in Industrial Engineering, 14(2), 239-253.
Ouyang, L., Zhu, Y., Zheng, W., & Yan, L. (2021). An information fusion FMEA method to assess the risk of healthcare waste. Journal of Management Science and Engineering, 6(1), 111-124.
Pamučar, D., Puška, A., Stević, Ž., & Ćirović, G. (2021). A new intelligent MCDM model for HCW management: The integrated BWM–MABAC model based on D numbers. Expert Systems with Applications, 175, 114862.
Rani, P., Mishra, A. R., Krishankumar, R., Ravichandran, K. S., & Gandomi, A. H. (2020). A new Pythagorean fuzzy based decision framework for assessing healthcare waste treatment. IEEE Transactions on Engineering Management.
Rouyendegh, B. D., Yildizbasi, A., & Üstünyer, P. (2020). Intuitionistic fuzzy TOPSIS method for green supplier selection problem. Soft Computing, 24(3), 2215-2228.
Ruoyan, G., Lingzhong, X., Huijuan, L., Chengchao, Z., Jiangjiang, H., Yoshihisa, S., ... & Chushi, K. (2010). Investigation of health care waste management in Binzhou District, China. Waste management, 30(2), 246-250.
Shi, H., Liu, H. C., Li, P., & Xu, X. G. (2017). An integrated decision making approach for assessing healthcare waste treatment technologies from a multiple stakeholder. Waste management, 59, 508-517.
Szmidt, E., & Kacprzyk, J. (2000). Distances between intuitionistic fuzzy sets. Fuzzy sets and systems, 114(3), 505-518.
Szmidt, E., & Baldwin, J. F. (2006). Intuitionistic fuzzy set functions, mass assignment theory, possibility theory and histograms. In 2006 IEEE International Conference on Fuzzy Systems (pp. 35-41).
Torkayesh, A. E., Malmir, B., & Asadabadi, M. R. (2021). Sustainable waste disposal technology selection: The stratified best-worst multi-criteria decision-making method. Waste Management, 122, 100-112.
Torkayesh, A. E., Zolfani, S. H., Kahvand, M., & Khazaelpour, P. (2021). Landfill location selection for healthcare waste of urban areas using hybrid BWM-grey MARCOS model based on GIS. Sustainable Cities and Society, 67, 102712.
Wan, S. P., Wang, Q. Y., & Dong, J. Y. (2013). The extended VIKOR method for multi-attribute group decision making with triangular intuitionistic fuzzy numbers. Knowledge-Based Systems, 52, 65-77.
Windfeld, E. S., & Brooks, M. S. L. (2015). Medical waste management–A review. Journal of environmental management, 163, 98-108.
Xiao, F. (2018). A novel multi-criteria decision making method for assessing health-care waste treatment technologies based on D numbers. Engineering Applications of Artificial Intelligence, 71, 216-225.
Xu, Z., & Yager, R. R. (2006). Some geometric aggregation operators based on intuitionistic fuzzy sets. International journal of general systems, 35(4), 417-433.
Yue, Z. (2011). A method for group decision-making based on determining weights of decision makers using TOPSIS. Applied Mathematical Modelling, 35(4), 1926-1936.
Yue, Z. (2014). Aggregating crisp values into intuitionistic fuzzy number for group decision making. Applied Mathematical Modelling, 38(11-12), 2969-2982.
Zadeh, L. A. (1996). Fuzzy sets. In Fuzzy sets, fuzzy logic, and fuzzy systems: selected papers by Lotfi A Zadeh (pp. 394-432).