[
Ala, A., Simic, V., Pamucar, D., & Jana, C. (2023). A Novel Neutrosophic-Based Multi-Objective Grey Wolf Optimizer for Ensuring the Security and Resilience of Sustainable Energy: A Case Study of Belgium. Sustainable Cities and Society. https://doi.org/10.1016/j.scs.2023.104709
]Search in Google Scholar
[
Bajec, P., & Tuljak-Suban, D. (2019). A framework for detecting the proper multi-criteria decision-making method taking into account the characteristics of third-party logistics, the requirements of managers, and the type of input data. In Application of Decision Science in Business and Management. IntechOpen. https://doi.org/10.5772/intechopen.87222
]Search in Google Scholar
[
Baskaran, V., Madasamy, M., Kumar, S. P., & Sahana, S. V. (2023). Modeling the land suitability for agricultural utility in a semi-arid region of Tirunelveli district, South India using multi-criteria and geospatial approach. Modeling Earth Systems and Environment, 1-11. https://doi.org/10.1007/s40808-023-01706-5
]Search in Google Scholar
[
Bobar, Z., Božanić, D., Đurić-Atanasievski, K., Pamučar, D.: (2020). Ranking and Assessment of the Efficiency of Social Media using the Fuzzy AHP-Z Number Model - Fuzzy MABAC, Acta Polytechnica Hungarica, 17(3), 43-70. https://doi.org/10.12700/APH.17.3.2020.3.3
]Search in Google Scholar
[
Božanić, D. I., Pamučar, D. S., & Karović, S. M. (2016). Hibridni model fuzzy AHP–MABAC za rangiranje potencijalnih lokacija za izradu maskirnih vezova. Vojnotehnički glasnik/Military Technical Courier, 64(3), 705-729. https://doi.org/10.5937/vojtehg64-9261
]Search in Google Scholar
[
Božanić, D., Pamučar, D., & Bojanić, D. (2015). Modification of the analytic hierarchy process (AHP) method using fuzzy logic: Fuzzy AHP approach as a support to the decision making process concerning engagement of the group for additional hindering. Serbian Journal of Management, 10(2), 151-171. https://doi.org/10.5937/sjm10-7223
]Search in Google Scholar
[
Bozanic, D., Tešić, D., Komazec, N., Marinković, D., & Puška, A. (2023). Interval fuzzy AHP method in risk assessment. Reports in Mechanical Engineering, 4(1), 131-140. https://doi.org/10.31181/rme040122082023b
]Search in Google Scholar
[
Buckley, J. J. (1985). Fuzzy hierarchical analysis. Fuzzy sets and systems, 17(3), 233-247. https://doi.org/10.1016/0165-0114(85)90090-9
]Search in Google Scholar
[
Chang, D. Y. (1996). Applications of the extent analysis method on fuzzy AHP. European journal of operational research, 95(3), 649-655. https://doi.org/10.1016/0377-2217(95)00300-2
]Search in Google Scholar
[
Chen, H., Huang, A. B., Peng, B., & Liu, Y. M. (2023). Evaluation of Post-Earthquake Geological Environment Carrying Capacity Based on AHP-GIS Coupled Analysis Method. Acadlore TTransactions on Geosciences, 2(1), 14-23. https://doi.org/10.56578/atg020102
]Search in Google Scholar
[
Dabić-Miletić, S., & Raković, K. (2023). Ranking of autonomous alternatives for the realization of intralogistics activities in sustainable warehouse systems using the TOPSIS method. Spectrum of Engineering and Management Sciences, 1(1), 48-57. https://doi.org/10.31181/sems1120234m
]Search in Google Scholar
[
Fattoruso, G., Barbati, M., Ishizaka, A. and Squillante, M. (2022). A hybrid AHPSort II and multi-objective portfolio selection method to support quality control in the automotive industry. Journal of the Operational Research Society, 1-16. https://doi.org/10.1080/01605682.2022.2033140
]Search in Google Scholar
[
Fattoruso, G., Scognamiglio, S. and Violi, A. (2022). A New Dynamic and Perspective Parsimonious AHP Model for Improving Industrial Frameworks. Mathematics, 10(17). https://doi.org/10.3390/math10173138
]Search in Google Scholar
[
Gallizo, J. L., Jiménez, F., & Salvador, M. (2002). Adjusting financial ratios: a Bayesian analysis of the Spanish manufacturing sector. Omega, 30(3), 185-195. https://doi.org/10.1016/S0305-0483(02)00026-9
]Search in Google Scholar
[
Ghorui, N., Ghosh, A., Mondal, S. P., Kumari, S., Jana, S., & Das, A. (2021). Evaluation of performance for School Teacher Recruitment using MCDM techniques with Interval Data. Multicultural Education, 7(5). http://ijdri.com/me/wp-content/uploads/2021/05/45.pdf
]Search in Google Scholar
[
Ghosh, A. (2021). Analyzing Efficiency of Indian Life Insurance Companies using DEA and SEM. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(12), 3897-3919. https://turcomat.org/index.php/turkbilmat/article/view/8178
]Search in Google Scholar
[
Ghosh, A., Jana, S. (2017). Best Indian Information Technology company based on Financial Ratios analysis using VIKOR method. Arthvati-Journal of Economics, 3 (7), 89-100. https://scholar.google.com/citations?view_op=view_citation&hl=en&user=5H7fhGEAAAAJ&citation_for_view=5H7fhGEAAAAJ:Y0pCki6q_DkC
]Search in Google Scholar
[
Ghunaim, H., & Dichter, J. (2019). Applying the FAHP to improve the performance evaluation reliability of software defect classifiers. IEEE Access, 7, 62794-62804. https://doi.org/10.1109/ACCESS.2019.2915964
]Search in Google Scholar
[
Hadžikadunić, A., Stević, Ž., Badi, I., & Roso, V. (2023). Evaluating the Logistics Performance Index of European Union Countries: An Integrated Multi-Criteria Decision-Making Approach Utilizing the Bonferroni Operator. International Journal of Knowledge and Innovation Studies, 1(1), 44-59. https://doi.org/10.56578/ijkis010104
]Search in Google Scholar
[
Hangshenas, S., Özçelik, Y., Mikaeil, R., & Moghaddam, S. (2017). Ranking and Assesment of tunneling projects risks using fuzzy MCDM (Case Study: Toyserkan Doolayi Tunnel). https://www.researchgate.net/publication/316276762_Ranking_and_Assessment_of_Tunneling_Projects_Risks_Using_Fuzzy_MCDM_Case_Study_Toyserkan_Doolayi_Tunnel
]Search in Google Scholar
[
Hsieh, H. N., Chen, J. F., & Do, Q. H. (2015). Applying TRIZ and fuzzy AHP based on lean production to develop an innovative design of a new shape for machine tools. Information, 6(1), 89-110. https://doi.org/10.3390/info6010089
]Search in Google Scholar
[
Jana, C. (2021). Multiple attribute group decision-making method based on extended bipolar fuzzy MABAC approach. Computational and Applied Mathematics, 40(6), 227. https://doi.org/10.1007/s40314-021-01606-3
]Search in Google Scholar
[
Jana, C., Dobrodolac, M., Simic, V., Pal, M., Sarkar, B., & Stević, Ž. (2023). Evaluation of sustainable strategies for urban parcel delivery: Linguistic q-rung orthopair fuzzy Choquet integral approach. Engineering Applications of Artificial Intelligence, 126. https://doi.org/10.1016/j.engappai.2023.106811
]Search in Google Scholar
[
Jana, C., Mohamadghasemi, A., Pal, M., & Martinez, L. (2023). An improvement to the interval type-2 fuzzy VIKOR method. Knowledge-Based Systems, 280. https://doi.org/10.1016/j.knosys.2023.111055
]Search in Google Scholar
[
Jana, C., Simic, V., Pal, M., Sarkar, B., & Pamucar, D. (2024). Hybrid multi-criteria decision-making method with a bipolar fuzzy approach and its applications to economic condition analysis. Engineering Applications of Artificial Intelligence, 132. https://doi.org/10.1016/j.engappai.2023.107837
]Search in Google Scholar
[
Jana, S., Basu, S (2021). Ranking of Top 20 Pharmaceutical Companies in India using TOPSIS. Empirical Economics Letters, ISSN 1681 8997, Special Issue 3.
]Search in Google Scholar
[
Jana, S., Maji, B., Sarkar, A. (2019). Linear Programming Approach for Portfolio Review. Parishodh Journal, 8(XI), 692-702. https://www.academia.edu/84206671/Linear_Programming_Approach_for_Portfolio_Review
]Search in Google Scholar
[
Johnson, H., Isaksson, L., & Fiedler, M. (2006, April). SF Wu. A decision system for adequate authentication. In Proceedings of the International Conference on Networking, International Conference on Systems and International Conference on Mobile Communications and Learning Technologies (ICNICONSMCL’06), Washington, DC, USA. https://doi.org/10.1109/ICNICONSMCL.2006.9
]Search in Google Scholar
[
Khan, A. A., Mashat, D. S., & Dong, K. (2024). Evaluating Sustainable Urban Development Strategies through Spherical CRITIC-WASPAS Analysis. Journal of Urban Development and Management, 3(1), 1-17. https://doi.org/10.56578/judm030101
]Search in Google Scholar
[
Krstic, M., Tadic, S., & Agnusdei, L. (2023). Evaluating governance models in intermodal terminal operations: A hybrid grey MCDM approach. Journal of Intelligent Management Decision, 2(4), 179-191. https://doi.org/10.56578/jimd020403
]Search in Google Scholar
[
Kumar, R. D., &Nagarajan, V. (2021). Implementation and performance measure of fuzzy AHP for resource allocation in 5G. Fluctuation and Noise Letters, 20(02), 2150020. https://doi.org/10.1142/S0219477521500206
]Search in Google Scholar
[
Kung, J. Y., Chuang, T. N., &Ky, C. M. (2011, June). A fuzzy MCDM method to select the best company based on financial report analysis. In 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011) (pp. 2013-2017). IEEE. https://doi.org/10.1109/FUZZY.2011.6007679
]Search in Google Scholar
[
Laitinen, E. K. (2006). Financial statement data in assessing the future potential of a technology firm: The case of Nokia. International Review of Financial Analysis, 15(3), 256-286. https://doi.org/10.1016/j.irfa.2005.03.001
]Search in Google Scholar
[
Low, C., & Hsueh Chen, Y. (2012). Criteria for the evaluation of a cloud-based hospital information system outsourcing provider. Journal of medical systems, 36, 3543-3553. https://doi.org/10.1007/s10916-012-9829-z
]Search in Google Scholar
[
Modibbo, U. M., Hassan, M., Ahmed, A. and Ali, I. (2022). Multi-criteria decision analysis for pharmaceutical supplier selection problem using fuzzyTOPSIS.” Management Decision 60 (3), 806-836. https://doi.org/10.1108/MD-10-2020-1335
]Search in Google Scholar
[
Nandi, S., Granata, G., Jana, S., Ghorui, N., Mondal, S. P., &Bhaumik, M. (2023). Evaluation of the treatment options for COVID-19 patients using generalized hesitant fuzzy-multi criteria decision making techniques. Socio-Economic Planning Sciences. https://doi.org/10.1016/j.seps.2023.101614
]Search in Google Scholar
[
Nazzal, D., Mustafa, D., Halabi, E., Gnimat, S., & Gayada, S. (2019). Evaluation of types, stages and treatment of breast cancer among Palestinian women. Palestinian Medical and Pharmaceutical Journal (Pal. Med. Pharm. J.), 5(1), 35-40. https://doi.org/10.59049/2790-0231.1029
]Search in Google Scholar
[
Öcal, M. E., Oral, E. L., Erdis, E., &Vural, G. (2007). Industry financial ratios—application of factor analysis in Turkish construction industry. Building and environment, 42(1), 385-392. https://doi.org/10.1016/j.buildenv.2005.07.023
]Search in Google Scholar
[
Onay, A., Karamaşa, Ç., & Saraç, B. (2016). Application of Fuzzy AHP in Selection of Accounting Elective Courses in Undergraduate and Graduate Level. Journal of Accounting Finance and Auditing Studies, 2(4), 20-42. https://www.acadlore.com/article/JAFAS/2016_2_4/jafas020402
]Search in Google Scholar
[
Petrović, N., Živanović, T., & Mihajlović, J. (2023). Evaluating the annual operational efficiency of passenger and freight road transport in Serbia through entropy and TOPSIS methods. Journal of Engoneering Management and Systems Engineering, 2(4), 204-211. https://doi.org/10.56578/jemse020402
]Search in Google Scholar
[
Prajapati, D., Daultani, Y., Cheikhrouhou, N., & Pratap, S. (2020). Identification and ranking of key factors impacting efficiency of Indian shipping logistics sector. Opsearch, 57, 765-786. https://doi.org/10.1007/s12597-020-00442-z
]Search in Google Scholar
[
Saaty, T. (1980, November). The analytic hierarchy process (AHP) for decision making. In Kobe, Japan, 1, p. 69. http://www.cashflow88.com/decisiones/saaty1.pdf
]Search in Google Scholar
[
Seruffo, M., Frances, C., Santana, A., & Vijaykumar, N. (2012). Heuristic algorithm based on multicriteria analysis for selection of first mile access in standard integrated services digital broadcasting terrestrial. IET Communications, 6(17), 2933-2940. https://doi.org/10.1049/iet-com.2012.0237
]Search in Google Scholar
[
Sharma, A., Hussain, V. M. S., Kumar, P. A., & Pandit, M. (2023). Prioritization of forging die design criteria based on failure analysis using fuzzy analytic hierarchy process (FAHP). Materials Today: Proceedings, 80, 925-932. https://doi.org/10.1016/j.matpr.2022.11.329
]Search in Google Scholar
[
Shekar, P. R., & Mathew, A. (2023). Integrated assessment of groundwater potential zones and artificial recharge sites using GIS and Fuzzy-AHP: a case study in Peddavagu watershed, India. Environmental Monitoring and Assessment, 195(7). https://doi.org/10.1007/s10661-023-11474-5
]Search in Google Scholar
[
Shiue, W., Li, S. T., & Chen, K. J. (2008). A frame knowledge system for managing financial decision knowledge. Expert Systems with Applications, 35(3), 1068-1079. https://doi.org/10.1016/j.eswa.2007.08.035
]Search in Google Scholar
[
Stevic, Z., N. Mujakovic, A. Goli, and S. Moslem. Selection of logistics distribution channels for final product delivery: FUCOM-MARCOS model. Journal of Intelligent Management Decision 2 (4), 172-178. https://doi.org/10.56578/jimd020402
]Search in Google Scholar
[
Sun, J., & Li, H. (2009). Financial distress prediction based on serial combination of multiple classifiers. Expert Systems with Applications, 36(4), 8659-8666. https://doi.org/10.1016/j.eswa.2008.10.002
]Search in Google Scholar
[
Taletović, M. (2023). Application of Multi-Criteria Decision-Making Methods in Warehouse: A Brief Review. Spectrum of Engineering and Management Sciences, 1(1), 25-37. https://doi.org/10.31181/sems11202331t
]Search in Google Scholar
[
Van Laarhoven, P. J., & Pedrycz, W. (1983). A fuzzy extension of Saaty’s priority theory. Fuzzy sets and Systems, 11(1-3), 229-241. https://doi.org/10.1016/S0165-0114(83)80082-7
]Search in Google Scholar
[
Wang, Y. J., & Lee, H. S. (2008). A clustering method to identify representative financial ratios. Information Sciences, 178(4), 1087-1097. https://doi.org/10.1016/j.ins.2007.09.016
]Search in Google Scholar
[
Xidonas, P., Mavrotas, G., & Psarras, J. (2009). A multicriteria methodology for equity selection using financial analysis. Computers & operations research, 36(12), 3187-3203. https://doi.org/10.1016/j.cor.2009.02.009
]Search in Google Scholar
[
Yang, C. C., & Chen, B. S. (2004). Key quality performance evaluation using fuzzy AHP. Journal of the Chinese Institute of Industrial Engineers, 21(6), 543-550. https://doi.org/10.1080/10170660409509433
]Search in Google Scholar
[
Zadeh, L. A. (1965). Fuzzy sets. Information and control, 8(3), 338-353. https://doi.org/10.1016/S0019-9958(65)90241-X
]Search in Google Scholar
[
Zangoueinezhad, A., & Moshabaki, A. (2011). Measuring university performance using a knowledge-based balanced scorecard. International Journal of Productivity and Performance Management, 60(8), 824-843. https://doi.org/10.1108/17410401111182215
]Search in Google Scholar
[
Zavadskas, E. K., Turskis, Z., Stević, Ž., & Mardani, A. (2020). Modelling procedure for the selection of steel pipes supplier by applying fuzzy AHP method. Operational Research in Engineering Sciences: Theory and Applications, 3(2), 39-53. https://oresta.org/menu-script/index.php/oresta/article/view/53
]Search in Google Scholar