Finding Effective Factor for Circular Economy Using Uncertain MCDM Approach

Aditi Biswas; Kamal Hossain Gazi; Sankar Prasad Mondal

doi:10.31181/msa1120245

Authors

Aditi Biswas Department of Basic Science and Humanities, Greater Kolkata College of Engineering and Management, West Bengal, India Author https://orcid.org/0009-0001-1972-6536
Kamal Hossain Gazi Department of Applied Mathematics, Maulana Abul Kalam Azad University of Technology, West Bengal, 741249, India Author https://orcid.org/0000-0001-7179-984X
Sankar Prasad Mondal Department of Basic Science and Humanities, Greater Kolkata College of Engineering and Management, West Bengal, India Author https://orcid.org/0000-0003-4690-2598

DOI:

https://doi.org/10.31181/msa1120245

Keywords:

Circular economy, Financial modeling, Uncertainty modeling, Interval numbers, DEMATEL

Abstract

The paper aims to analyze the efficiency of the related criterion for adopting the circular economy concepts. The five related criteria, namely sustainability, resource management, product lifespan, collaboration and partnerships, and technology-innovation, are considered to formulate the decision-making models. For methodology, interval-valued DEMATEL is considered. Multi expert’s data sets are taken to reach the final decision. Finally, analysis of the result in an uncertain environment and the scatter diagram to examine the dependency among the criteria.

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References

Kabirifar, K., Ashour, M., Yazdani, M., Mahdiyar, A., & Malekjafarian, M. (2023). Cybernetic parsimonious mcdm modeling with application to the adoption of circular economy in waste management. Applied Soft Computing, 139(110186). https://doi.org/10.1016/j.asoc.2023.110186

Soni, A., Das, P. K., & Kumar, S. (2023). Selection of waste plastics for incorporation in agrowaste as sustainable building construction materials concerning circular economy: An integrated mcdm approach. Clean Technologies and Environmental Policy, 25, 2929–2949. https://doi.org/10.1007/s10098-023-02539-7

Balasbaneh, A. T., & Sher, W. (2024). Economic and environmental life cycle assessment of alternative mass timber walls to evaluate circular economy in building: Mcdm method. nvironment,

Development and Sustainability, 26, 239–268. https://doi.org/10.1007/s10668-022-02707-7

Shaocheng, T. (1994). Interval number and fuzzy number linear programmings. Fuzzy Sets and Systems, 66(3), 301–306. https://doi.org/10.1016/0165-0114(94)90097-3

Gazi, K. H., Biswas, A., Singh, P., Rahaman, M., Maity, S., Mahata, A., & Mondal, S. P. (2024). A comprehensive literature review of fuzzy differential equations with applications. Journal of Fuzzy Extension and Applications, 1–28. https://doi.org/10.22105/jfea.2024.449970.1426

Pamucar, D., Yazdani, M., Obradovic, R., Kumar, A., & Torres-Jim´enez, M. (2020). A novel fuzzy hybrid neutrosophic decision-making approach for the resilient supplier selection problem. International Journal of Intelligent Systems, 35, 1934–1986. https://doi.org/10.1002/int.22279

Wang, Y., Zhan, J., Zhang, C., & Xu, Z. (2024). A group consensus model with prospect theory under probabilistic linguistic term sets. Information Sciences, 653(119800). https://doi.org/10.1016/j.ins.2023.119800

Arruda, E. H., Melatto, R. A. P. B., Levy, W., & de Melo Conti, D. (2021). Circular economy: A brief literature review (2015–2020). Sustainable Operations and Computers, 2, 79–86.

Khan, S., & Haleem, A. (2021). Investigation of circular economy practices in the context of emerging economies: A cocoso approach. International Journal of Sustainable Engineering, 14(3), 357–367.

Elroi, H., Zbigniew, G., Agnieszka,W.-C.,&Piotr, S. (2023). Enhancingwaste resource efficiency: Circular economy for sustainability and energy conversion. Frontiers in Environmental Science, 11, 1303792.

Konash, A., & Nasr, N. (2022). The circular economy and resource use reduction: A case study of long-term resource efficiency measures in a medium manufacturing company. Cleaner Production Letters, 3, 100025.

Singhal, D., Tripathy, S., & Jena, S. K. (2020). Remanufacturing for the circular economy: Study and evaluation of critical factors. Resources, Conservation and Recycling, 156, 104681.

Mesa, J. A. (2023). Design for circularity and durability: An integrated approach from dfx guidelines. Research in Engineering Design, 34(4), 443–460.

Kara, S., Hauschild, M., Sutherland, J., & McAloone, T. (2022). Closed-loop systems to circular economy: A pathway to environmental sustainability? CIRP Annals, 71(2), 505–528.

Padilla-Rivera, A., Russo-Garrido, S., & Merveille, N. (2020). Addressing the social aspects of a circular economy: A systematic literature review. Sustainability, 12(19), 7912.

Gazi, K. H., Momena, A. F., Salahshour, S., Mondal, S. P.,&Ghosh, A. (2024). Synergistic strategy of sustainable hospital site selection in saudi arabia using spherical fuzzy mcdm methodology. Journal of Uncertain Systems, 17(3), 1–64. https://doi.org/10.1142/S1752890924500041

Mandal, S., Gazi, K. H., Salahshour, S., Mondal, S. P., Bhattacharya, P., & Saha, A. K. (2024). Application of interval valued intuitionistic fuzzy uncertain mcdm methodology for ph. d supervisor selection problem. Results in Control and Optimization, 15(100411), 1–33. https://doi.org/10.1016/j.rico.2024.100411

Mic, P., & Antmen, Z. F. (2021). A decision-making model based on topsis, waspas, and multimoora methods for university location selection problem. SAGE Open, 11(3), 1–18. https://doi.org/10.1177/21582440211040115

Akram, M., & Bibi, R. (2023). Multi-criteria group decision-making based on an integrated promethee approach with 2-tuple linguistic fermatean fuzzy sets. Granular Computing, 8, 917–941. https://doi.org/10.1007/s41066-022-00359-6

Morote, A. N., & Ruz-Vila, F. (2011). A fuzzy ahp multi-criteria decision-making approach applied to combined cooling, heating, and power production systems. International Journal of Information Technology & Decision Making, 10(3), 497–517. https://doi.org/http://dx.doi.org/10.1142/S0219622011004427

Emovon, I., & Aibuedefe, W. O. (2020). Fuzzy topsis application in materials analysis for economic production of cashew juice extractor. Fuzzy Information and Engineering, 12(1), 1–18. https://doi.org/10.1080/16168658.2020.1775332

Saraji, M. K., Streimikiene, D., & Lauzadytetutliene˙ , A. (2021). A novel pythagorean fuzzyswara- critic-copras method for evaluating the barriers to developing business model innovation for sustainability. Handbook of Research on Novel Practices and Current Successes in Achieving the Sustainable Development Goals, 1–31. https://doi.org/10.4018/978-1-7998-8426-2.ch001

Nithyanandham, D., & Augustin, F. (2021). Designing dematel method under bipolar fuzzy environment. Journal of Intelligent & Fuzzy Systems, 41(4), 1–17. https://doi.org/http://dx.doi.org/10.3233/JIFS-211112

Kashyap, A., Kumar, C., kumar, V., & Shukla, O. J. (2022). A dematel model for identifying the impediments to the implementation of circularity in the aluminum industry. Decision Analytics Journal, 5. https://doi.org/10.1016/j.dajour.2022.100134

Mishra, A. R., Liu, P., & Rani, P. (2022). Copras method based on interval-valued hesitant fermatean fuzzy sets and its application in selecting desalination technology. Applied Soft Computing, 119, 108570. https://doi.org/10.1016/j.asoc.2022.108570

Ahmadsaraei, M. S., Koshksaray, A. A., Soleimani, M., & Kazem, Z. (2022). Sustainable supply chain risk in food packaging industry: Integrated delphi-critic-copras method using fuzzy set theory. International Journal of Business Studies and Innovation, 2(1), 61–78. https://doi.org/10.35745/ijbsi2022v02.01.0006

Nyimbili, P. H., Erden, T. E., & Mwanaumo, E. M. (2023). A dematel-based approach of multicriteria evaluation for urban fire and emergency facilities. Frontiers in Environmental Economics, 2. https://doi.org/10.3389/frevc.2023.1198541

Momena, A. F., Gazi, K. H., Rahaman, M., Sobczak, A., Salahshour, S., Mondal, S. P., & Ghosh, A. (2024). Ranking and challenges of supply chain companies usingmcdmmethodology. Logistics, 8(3). https://doi.org/10.3390/logistics8030087

Adhikari, D., Gazi, K. H., Sobczak, A., Giri, B. C., Salahshour, S.,&Mondal, S. P. (2024). Ranking of different states in india based on sustainablewomen empowerment using mcdm methodology under uncertain environment. Journal of Uncertain Systems, 17(4), 1–52. https://doi.org/10.1142/S1752890924500107

Momena, A. F., Gazi, K. H., Mukherjee, A. K., Salahshour, S., Ghosh, A., & Mondal, S. P. (2024). Adaptation challenges of edge computing model in educational institute. Journal of Intelligent & Fuzzy Systems, 1–18. https://doi.org/10.3233/JIFS-239887

Biswas, A., Gazi, K. H., Bhaduri, P., & Mondal, S. P. (2025). Site selection for girls hostel in a university campus by mcdm based strategy. Spectrum of Decision Making and Applications, 2(1), 68–93. https://doi.org/10.31181/sdmap21202511

Gazi, K. H., Raisa, N., Biswas, A., Azizzadeh, F., & Mondal, S. P. (2025). Finding the most important criteria inwomen’s empowerment for sports sector by pentagonal fuzzy dematel methodology. Spectrum of Decision Making and Applications, 2(1), 28–52. https://doi.org/10.31181/sdmap21202510

Biswas, A., Gazi, K. H., Mondal, S. P., & Ghosh, A. (2025). A decision-making framework for sustainable highway restaurant site selection: Ahp-topsis approach based on the fuzzy numbers. Spectrum of Operational Research, 2(1), 1–26. https://doi.org/10.31181/sor2120256

Singh, P., Gazi, K. H., Rahaman, M., Basuri, T., & Mondal, S. P. (2024). Solution strategy and associated results for fuzzy mellin transformation. Franklin Open, 7(100112), 1–11. https://doi.org/10.1016/j.fraope.2024.100112

Smidovnik, T., & Groselj, P. (2023). Solution for convergence problem in dematel method: Dematel of finite sum of influences. Symmetry, 15(7). https://doi.org/10.3390/sym15071357

Eti, S., Dinc，er, H., Y¨uksel, S., & G¨okalp, Y. (2023). Analysis of the suitability of the solar panels for hospitals: A new fuzzy decision-making model proposal with the t-spherical top-dematel method. Journal of Intelligent & Fuzzy Systems, 44(3), 4613–4625. https://doi.org/10.3233/JIFS-222968

Celik, M. T., & Arslankaya, S. (2023). Analysis of quality control criteria in an business with the fuzzy dematel method: Glass business example. Journal of Engineering Research, 11(2), 100039.

https://doi.org/10.1016/j.jer.2023.100039

Xue, P., Huang, S., Xie, K., Sun, Y.,&Fei, L. (2024). Identification of the critical factors in flood vulnerability assessment based on an improved dematel method under uncertain environments. International Journal of Disaster Risk Reduction, 100(104217). https://doi.org/10.1016/j.ijdrr.2023.104217

Bairbekova, G., Talgat, M., Jomartova, S., & Nugmanova, S. (2016). Interval arithmetic in calculations. Open Engineering, 6(1).

Quevedo, J. R. N. (2017). Fuzzy sets. a way to represent ambiguity and subjetivity. Boletın de Mathematics, 24(1), 57–88.

Tzeng, G.-H., Chiang, C.-H., & Li, C.-W. (2007). Evaluating intertwined effects in e-learning programs: A novel hybrid mcdm model based on factor analysis and dematel. Expert Systems with Applications, 32(4), 1028–1044. https://doi.org/10.1016/j.eswa.2006.02.004

Du, Y.-W., & Zhou, W. (2019). New improved dematel method based on both subjective experience and objective data. Engineering Applications of Artificial Intelligence, 83, 57–71. https://doi.org/10.1016/j.engappai.2019.05.001

Samvedi, A., & Jain, V. (2013). A study on the interactions between supply chain risk management criteria using fuzzy dematelmethod. International Journal of Operational Research, 18(3), 255–271. https://doi.org/10.1504/IJOR.2013.056685

Bongo, M. F., & Seva, R. R. (2023). Evaluating the performance-shaping factors of air traffic controllers using fuzzy dematel and fuzzy bwm approach. Aerospace, 10(3). https://doi.org/10.3390/aerospace10030252

Wei, P.-L., Huang, J.-H., Tzeng, G.-H., & Wu, S.-I. (2010). Causal modeling of web-advertising effects by improving sem based on dematel technique. International Journal of Information Technology & Decision Making, 9(5), 799–829. https://doi.org/10.1142/S0219622010004032

Shieh, J.-I.,Wu, H.-H., & Huang, K.-K. (2010). A dematel method in identifying key success factors of hospital service quality. Knowledge-Based Systems, 23(3), 277–282. https://doi.org/10.1016/j.knosys.2010.01.013

Zhu, X., Yan, R., & xing Xu, T. (2020). An integrated dematel-anp approach for mobile banking adoptions in china market. Discrete Dynamics in Nature and Society, 1(1843697). https://doi.org/10.1155/2020/1843697

Kaya, S. K., Aycin, E., & Pamucar, D. (2023). Evaluation of social factors within the circular economy concept for european countries. Central European Journal of Operations Research, 31, 73–108. https://doi.org/10.1007/s10100-022-00800-w

Grybaite, V., & Burinskiene , A. (2024). Assessment of circular economy development in the eu countries based on saw method. Sustainability, 16(21). https://doi.org/10.3390/su16219582

Khaw, K.W., Camilleri, M., Tiberius, V., Alnoor, A.,&Zaidan, A. S. (2024). Benchmarking electric power companies’ sustainability and circular economy behaviors: Using a hybrid pls-sem and mcdm approach. Environment, Development and Sustainability, 26, 6561–6599. https://doi.org/10.1007/S10668-023-02975-X

Radenovi´c, Z. J., & Raji´c, M. N. (2024). Assessing circular economy performances of selected countries using mcdm methods: Promethee vs. cocoso. Navigating the Circular Age of a sustainable Digital Revolution, 1–32. https://doi.org/10.4018/979-8-3693-2827-9.ch003

Brears, R. C. (2018). Natural resource management and the circular economy. Springer.

Gulseven, O., & Mostert, J. (2017). Application of circular economy for sustainable resource management in kuwait. International Journal of Social Ecology and Sustainable Development (IJSESD), 8(3), 87–99.

Pomoni, D. I., Koukou, M. K., Vrachopoulos, M. G., & Vasiliadis, L. (2024). Circular economy: A multilevel approach for natural resources and wastes under an agri-food perspective. Water-Energy Nexus.

Jorgensen, S., Pedersen, L. J. T., & Skard, S. (2023). Resource accounting for a circular economy: Evidence from a digitalised waste management system. Accounting Forum, 47(4), 553–582.

Clift, R., Martin, G., & Mair, S. (2022). Sustainability and the circular economy. In Assessing progress towards sustainability (pp. 35–56). Elsevier.

Velenturf, A. P., & Purnell, P. (2021). Principles for a sustainable circular economy. Sustainable production and consumption, 27, 1437–1457.

Luzzati, T., Distefano, T., Ialenti, S., & Andreoni, V. (2022). The circular economy and longer product lifetime: Framing the effects onworking time andwaste. Journal of Cleaner Production, 380, 134836.

Reslan, M., Last, N., Mathur, N., Morris, K. C., & Ferrero, V. (2022). Circular economy: A product life cycle perspective on engineering and manufacturing practices. Procedia CIRP, 105, 851–858.

Triguero, ´ A., Moreno-Mond´ejar, L., & S´aez-Mart´ınez, F. J. (2023). Circular economy and firm performance: The influence of product life cycle analysis, upcycling, and redesign. Sustainable Development, 31(4), 2318–2331.

Mathur, N., Last, N., & Morris, K. C. (2023). A process model representation of the end-of-life phase of a product in a circular economy to identify standards needs. Frontiers in Manufacturing Technology, 3, 988073.

Tuladhar, A., Iatridis, K., & Dimov, D. (2024). Collaboration among circular start-ups and incumbents in the circular economy context. Business Strategy and the Environment, 33(4), 3317–3330.

Berlin, D., Feldmann, A., & Nuur, C. (2022). Supply network collaborations in a circular economy: A case study of swedish steel recycling. Resources, Conservation and Recycling, 179, 106112.

Leder, N., Kumar, M., & Rodrigues, V. S. (2023). Influencing factors driving collaboration in circular business models. International Journal of Logistics Research and Applications, 1–24.

Ritter, M., Schilling, H., Br¨uggemann, H., Fr¨ohlich, T., Goldmann, D., Henze, R., et al. (2024). Towards achieving the sustainable development goals: A collaborative action plan leveraging the circular economy potentials. Gruppe. Interaktion. Organisation. Zeitschrift f¨ur Angewandte Organisationspsychologie (GIO), 1–13.

Khan, S. A. R., Sharif, A., Panait, M.,&Mardani, A. (2024). Technological innovation and circular economy approaches: Leading toward sdg-12.

Cramer, J. (2023). How circular economy and digital technologies can support the building sector to cope with its worldwide environmental challenge? npj Urban Sustainability, 3(1), 28.

Nasr, N. (2024). Technology innovation for the circular economy: Recycling, remanufacturing, design, system analysis and logistics. John Wiley & Sons.

Khan, K., & Khurshid, A. (2024). Are technology innovation and circular economy remedy for emissions? evidence fromthe netherlands. Environment, Development and Sustainability, 26(1), 1435–1449.