Healthcare waste disposal location selection by a multi-criteria decision-making method with intuitionistic fuzzy sets

Document Type : Research Paper


Department of Industrial Engineering, Shahed University, Tehran, Iran



Healthcare industries create hazardous waste (HCW), which can become a danger to the health of society. HCW disposal management is one of the main challenges for urban organizations and healthcare systems. Meanwhile, the HCW disposal location is a wrapped flow due to the contention of different alternatives, criteria, and government principles related to the HCW disposal. In this regard, a new multi-criteria decision-making (MCDM) approach is introduced under the intuitionistic fuzzy (IF) conditions to evaluate the importance degrees of criteria and decision-makers (DMs) by computing their weights and coping with uncertain situations. A new integrated weighting criteria method is provided based on aggregating the subjective and objective criterion weight. The subjective weight is gathered from an expert person and objective weight is computed from ordered weight averaging (OWA) method. Afterward, the DM weights are computed based on similarity measure approach. Also, a new ranking approach is introduced with an ideal and anti-ideal distance-based method. These methods are utilized under IF condition. Finally, a case study from the recent literature is applied to validate the proposed approach. This case determines that the proposed method has a high performance to take the appropriate decision.


Adar, T., & Delice, E. K. (2019). New integrated approaches based on MC-HFLTS for healthcare waste treatment technology selection. Journal of Enterprise Information Management. 32 (4), 688-711.
Andrinopoulos, K., Kerrigan, D., & Ellen, J. M. (2006). Understanding sex partner selection from the perspective of inner‐city black adolescents. Perspectives on sexual and reproductive health, 38(3), 132-138.
Aramesh, S., Mousavi, S. M., & Mohagheghi, V. (2021). A new comprehensive project scheduling, monitoring, and management framework based on the critical chain under interval type-2 fuzzy uncertainty. Iranian Journal of Fuzzy Systems, 18(1), 151-170.
Atanassov, k. (1986). Intuitionistic fuzzy sets. Fuzzy Sets and Systems, 2087-96.
Atanassov, K. T. (1994). New operations defined over the intuitionistic fuzzy sets. Fuzzy sets and Systems, 61(2), 137-142.
Chauhan A., Singh, A. (2016a) Healthcare waste management: a state-of-the-art literature review. International Journal of Environment and Waste Management, 18(2):120–144.
Chauhan, A., & Singh, A. (2016b). A hybrid multi-criteria decision making method approach for selecting a sustainable location of healthcare waste disposal facility. Journal of Cleaner Production, 139, 1001-1010.
Chen, X., Lin, J., Li, X., & Ma, Z. (2021). A novel framework for selecting sustainable healthcare waste treatment technologies under Z-number environment. Journal of the Operational Research Society, 72(9), 2032-2045.
Davoudabadi, R., Mousavi, S. M., & Mohagheghi, V. (2021). A new decision model based on DEA and simulation to evaluate renewable energy projects under interval-valued intuitionistic fuzzy uncertainty. Renewable Energy, 164, 1588-1601.
Dorfeshan, Y., Mousavi, S. M., Zavadskas, E. K., & Antucheviciene, J. (2021). A New Enhanced ARAS Method for Critical Path Selection of Engineering Projects with Interval Type-2 Fuzzy Sets. Int. J. Inf. Technol. Decis. Mak., 20(1), 37-65.
Ertuğrul, İ., & Karakaşoğlu, N. (2008). Comparison of fuzzy AHP and fuzzy TOPSIS methods for facility location selection. The International Journal of Advanced Manufacturing Technology, 39(7-8), 783-795.
Foroozesh, N., Jolai, F., Mousavi, S. M., & Karimi, B. (2021). A new fuzzy-stochastic compromise ratio approach for green supplier selection problem with interval-valued possibilistic statistical information. Neural Computing and Applications, 1-19.
Hajighasemi, Z., & Mousavi, S. M. (2018). A new approach in failure modes and effects analysis based on compromise solution by considering objective and subjective weights with interval-valued intuitionistic fuzzy sets. Iranian Journal of Fuzzy Systems, 15(1), 139-161.
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.
Liu, H. C., You, J. X., Shan, M. M., & Shao, L. N. (2015). Failure mode and effects analysis using intuitionistic fuzzy hybrid TOPSIS approach. Soft Computing, 19(4), 1085-1098.
Liu, J., Lin, S., Chen, H., & Zhou, L. (2013). The continuous quasi-OWA operator and its application to group decision making. Group Decision and Negotiation, 22(4), 715-738.
Melo, M. T., Nickel, S., & Saldanha-Da-Gama, F. (2009). Facility location and supply chain management–A review. European journal of operational research, 196(2), 401-412.
Memari, A., Dargi, A., Jokar, M. R. A., Ahmad, R., & Rahim, A. R. A. (2019). Sustainable supplier selection: A multi-criteria intuitionistic fuzzy TOPSIS method. Journal of manufacturing systems, 50, 9-24.
Mishra, A. R., & Rani, P. (2021). Multi-criteria healthcare waste disposal location selection based on Fermatean fuzzy WASPAS method. Complex & Intelligent Systems, 1-16.
Mohagheghi, V., & Mousavi, S. M. (2021). A new multi-period optimization model for resilient-sustainable project portfolio evaluation under interval-valued Pythagorean fuzzy sets with a case study. International Journal of Machine Learning and Cybernetics, 1-20.
Mousavi, S. M., Vahdani, B., Tavakkoli-Moghaddam, R., Ebrahimnejad, S., & Amiri, M. (2013). A multi-stage decision-making process for multiple attributes analysis under an interval-valued fuzzy environment. The International Journal of Advanced Manufacturing Technology, 64(9-12), 1263-1273.
Narayanamoorthy, S., Annapoorani, V., Kang, D., Baleanu, D., Jeon, J., Kureethara, J. V., & Ramya, L. (2020). A novel assessment of bio-medical waste disposal methods using integrating weighting approach and hesitant fuzzy MOOSRA. Journal of Cleaner Production, 275, 122587.
Rabbani, M., Heidari, R., Farrokhi-Asl, H., & Rahimi, N. (2018). Using metaheuristic algorithms to solve a multi-objective industrial hazardous waste location-routing problem considering incompatible waste types. Journal of Cleaner Production, 170, 227-241.
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. DOI: 10.1109/TEM.2020.3023707
Ranjbari, M., Esfandabadi, Z. S., Shevchenko, T., Chassagnon-Haned, N., Peng, W., Tabatabaei, M., & Aghbashlo, M. (2021). Mapping healthcare waste management research: past evolution, current challenges, and future perspectives towards a circular economy transition. Journal of Hazardous Materials, 126724.
Szmidt, E., & Kacprzyk, J. (2000). Distances between intuitionistic fuzzy sets. Fuzzy sets and systems, 114(3), 505-518.
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.
Vahdani, B., Hadipour, H., Sadaghiani, J. S., & Amiri, M. (2010). Extension of VIKOR method based on interval-valued fuzzy sets. The International Journal of Advanced Manufacturing Technology, 47(9-12), 1231-1239.
Wang, F., Zeng, S., & Zhang, C. (2013). A method based on intuitionistic fuzzy dependent aggregation operators for supplier selection. Mathematical Problems in Engineering, 2013.
Xu, Z. S. (2007). Intuitionistic fuzzy aggregation operators. IEEE Transactions on Fuzzy Systems, 15(6), 1179–1187.
Xu, Z. S., & Chen, J. (2008). An overview of distance and similarity measures of intuitionistic fuzzy sets. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 16(04), 529-555.
Xu, Z., & Yager, R. R. (2006). Some geometric aggregation operators based on intuitionistic fuzzy sets. International journal of general systems, 35(4), 417-433.
Yager, R. R. (1988). On ordered weighted averaging aggregation operators in multicriteria decisionmaking. IEEE Transactions on systems, Man, and Cybernetics, 18(1), 183-190.
Yazdani, M., Tavana, M., Pamučar, D., & Chatterjee, P. (2020). A rough based multi-criteria evaluation method for healthcare waste disposal location decisions. Computers & Industrial Engineering, 143, 106394.
Ye, J. (2009). Multicriteria fuzzy decision-making method based on a novel accuracy function under interval-valued intuitionistic fuzzy environment. Expert systems with Applications, 36(3), 6899-6902.
Yue, Z. (2011). Deriving decision maker’s weights based on distance measure for interval-valued intuitionistic fuzzy group decision making. Expert Systems with Applications, 38(9), 11665-11670.
Zadeh, L. A. (1978). Fuzzy sets as a basis for a theory of possibility. Fuzzy sets and systems, 1(1), 3-28.
Zadeh, L. A. (1996). Fuzzy sets. In Fuzzy sets, fuzzy logic, and fuzzy systems: selected papers by Lotfi A Zadeh (pp. 394-432).
Zhao, J., You, X. Y., Liu, H. C., & Wu, S. M. (2017). An extended VIKOR method using intuitionistic fuzzy sets and combination weights for supplier selection. Symmetry, 9(9), 169.