Skip to main content

Advertisement

SpringerLink
Log in

Application of q-rung orthopair fuzzy based SWARA-COPRAS model for municipal waste treatment technology selection

  • Research Article
  • Published:
Environmental Science and Pollution Research Aims and scope Submit manuscript

Abstract

Despite several methods available for the treatment of solid wastes, the management of municipal solid waste is still a crucial and complex process. The available methods for waste treatment range from advanced to conventional techniques. The identification of a proper method for municipal solid waste management involves several techno-eco and environmental considerations. To solve the real-world problems of municipal waste management, the research proposed an integrated q-rung orthopair fuzzy number-based stepwise weight assessment ratio analysis-complex proportional assessment (SWARA-COPRAS) mathematical model to rank the waste treatment techniques. The research aimed to develop a systematic approach for a suitable selection of waste treatment methods. Ten (10) different alternatives for waste treatments were ranked against seven (07) different techno-eco and environmental criteria. The ambiguity in the decision was handled by the q-rung orthopair fuzzy numbers. The proposed integrated model has identified upcycling and recycling of waste having priority values of 100% and 99.9%, respectively, as the suitable practices for the successful management of generated solid wastes, whereas landfilling has obtained a minimum priority value of 66.782% and, therefore, is least preferable for waste management. The ranking of the alternatives followed the sequence as upcycling > recycling > pyrolysis > hydrolysis > biotechnological > core plasma pyrolysis > incineration > composting > gasification > landfilling. The comparison between the rankings of the proposed model with other techniques has revealed that the values of Spearman’s rank correlation coefficient are in the range of 0.8545 to 0.9272; thereby, the robustness of the proposed model is verified. Sensitivity analysis for the criteria weight has showed that the ranking results are influenced significantly by the change in criteria weights and suggested that an accurate estimation of the criteria weight is decisive in determining the overall ranking of the alternative. The study has provided a framework for decision-making in the technology selection for solid waste management.

Graphical Abstract

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

Data availability

All the data generated or analyzed during the study are included in the article.

Abbreviations

AHP:

Analytical hierarchy process

ARAS:

Additive ratio assessment

BCO:

Bee colony

BMO:

Bonferroni mean operator

BWM:

Best worst method

COPRAS:

Complex proportional assessment

CRITIC:

Criteria importance through intercriteria correlation

DM:

Decision maker

GHG:

Greenhouse gases

IoT:

Internet of things

MAUT:

Multi-attribute utility theory

MCDM:

Multi-criteria decision making

MIP:

Mixed-integer programming

MOORA:

Multi-objective optimization on the basis of ratio analysis

MSW:

Municipal solid waste

q-ROPFNs:

q-rung orthopair fuzzy numbers

q-ROPFWBMO:

q-rung orthopair fuzzy weighted Bonferroni mean operator

SA:

Sensitivity analysis

SRCC:

Spearman’s rank correlation coefficient

SWARA :

Stepwise weight assessment ratio analysis

TOPSIS:

Techniques for order performance by similarity to ideal solution

WASPAS:

Weighted aggregated sum product assessment

WPM:

Weighted product method

WSM:

Weighted sum method

WtE:

Waste-to-energy

References

  • Abbasi G, Khoshalhan F, Hosseininezhad SJ (2022) Municipal solid waste management and energy production: a multi-objective optimization approach to incineration and biogas waste-to-energy supply chain. Sustainable Energy Technol Assess 54:102809

    Article  Google Scholar 

  • Abdallah M, Hamdan S, Shabib A (2021) A multi-objective optimization model for strategic waste management master plans. J Clean Prod 284:124714

    Article  Google Scholar 

  • Afrane S, Ampah JD, Jin C, Liu H, Aboagye EM (2021) Techno-economic feasibility of waste-to-energy technologies for investment in Ghana: a multicriteria assessment based on fuzzy TOPSIS approach. J Clean Prod 318:128515

    Article  CAS  Google Scholar 

  • Ahluwalia, I. J., & Patel, U. (2018). Solid waste management in india: an assessment of resource recovery and environmental impact.

    Google Scholar 

  • Alao MA, Popoola OM, Ayodele TR (2022) Waste-to-energy nexus: an overview of technologies and implementation for sustainable development. Clean Energy Syst 3:100034. https://doi.org/10.1016/j.cles.2022.100034

    Article  Google Scholar 

  • Alinezhad A, Khalili J (2019) New methods and applications in multiple attribute decision making (MADM), vol 277. Springer

    Book  Google Scholar 

  • Asefi H, Zhang Y, Lim S, Maghrebi M, Shahparvari S (2020) A multi-criteria decision support framework for municipal solid waste landfill siting: a case study of New South Wales (Australia). Environ Monit Assess 192:1–15

    Article  Google Scholar 

  • Burgess JE, Parsons SA, Stuetz RM (2001) Developments in odour control and waste gas treatment biotechnology: a review. Biotechnol Adv 19(1):35–63

    Article  CAS  Google Scholar 

  • Capón-García E, Papadokonstantakis S, Hungerbühler K (2014) Multi-objective optimization of industrial waste management in chemical sites coupled with heat integration issues. Comput Chem Eng 62:21–36

    Article  Google Scholar 

  • Chen C, Wen Z, Wang Y, Zhang W, Zhang T (2022) Multi-objective optimization of technology solutions in municipal solid waste treatment system coupled with pollutants cross-media metabolism issues. Sci Total Environ 807:150664

    Article  CAS  Google Scholar 

  • Chen Y-C (2018) Effects of urbanization on municipal solid waste composition. Waste Manag 79:828–836

    Article  Google Scholar 

  • Cheng C, Lu J-W, Zhu R, Xiao Z, Costa AM, Thompson RG (2022) An integrated multi-objective model for disaster waste clean-up systems optimization. Transport Res E-Log 165:102867

    Article  Google Scholar 

  • Deng Y, Chen X, Adam NTS, Xu J (2022) A multi-objective optimization approach for clean treatment of food waste from an economic-environmental-social perspective: a case study from China. J Clean Prod 357:131559

    Article  Google Scholar 

  • Dogu O, Pelucchi M, Van de Vijver R, Van Steenberge PH, D’hooge DR, Cuoci A, Mehl M, Frassoldati A, Faravelli T, Van Geem KM (2021) The chemistry of chemical recycling of solid plastic waste via pyrolysis and gasification: State-of-the-art, challenges, and future directions. Progress in Energy and Combustion Science 84:100901. https://doi.org/10.1016/j.pecs.2020.100901

    Article  Google Scholar 

  • Erdem M (2022) Optimisation of sustainable urban recycling waste collection and routing with heterogeneous electric vehicles. Sustain Cities Soc 80:103785. https://doi.org/10.1016/j.scs.2022.103785

    Article  Google Scholar 

  • Fei F, Wen Z, Ri S (2022) Urban biowaste integrated management based on synergy mechanism and multi-objective optimization: a case study in Suzhou China. Sci Total Environ 823:153691

    Article  CAS  Google Scholar 

  • Foster W, Azimov U, Gauthier-Maradei P, Molano LC, Combrinck M, Munoz J, . . . Patino L (2021) Waste-to-energy conversion technologies in the UK: Processes and barriers–A review. Renew Sustain Energy Rev 135:110226

  • Garcia-Garcia G (2022) Using Multi-Criteria Decision Making to optimise solid waste management. Curr Opin Green Sustain Chem 37:100650. https://doi.org/10.1016/j.cogsc.2022.100650

    Article  Google Scholar 

  • Garlapati VK (2016) E-waste in India and developed countries: management, recycling, business and biotechnological initiatives. Renew Sustain Energy Rev 54:874–881

    Article  CAS  Google Scholar 

  • Gholami H, Saman MZM, Sharif S, Md Khudzari J, Zakuan N, Streimikiene D, Streimikis J (2020) A general framework for sustainability assessment of sheet metalworking processes. Sustainability 12(12):4957

    Article  Google Scholar 

  • Goulart Coelho LM, Lange LC, Coelho HM (2017) Multi-criteria decision making to support waste management: a critical review of current practices and methods. Waste Manag Res 35(1):3–28

    Article  Google Scholar 

  • Hashemi SE (2021) A fuzzy multi-objective optimization model for a sustainable reverse logistics network design of municipal waste-collecting considering the reduction of emissions. J Clean Prod 318:128577

    Article  Google Scholar 

  • Hashemkhani Zolfani S, Yazdani M, Zavadskas EK (2018) An extended stepwise weight assessment ratio analysis (SWARA) method for improving criteria prioritization process. Soft Comput 22:7399–7405

    Article  Google Scholar 

  • He X, Wang C-H, Shoemaker CA (2021) Multi-objective optimization of an integrated biomass waste fixed-bed gasification system for power and biochar co-production. Comput Chem Eng 154:107457

    Article  CAS  Google Scholar 

  • Hosseinalizadeh R, Shakouri H, Izadbakhsh H (2022) Planning for energy production from municipal solid waste: an optimal technology mix via a hybrid closed-loop system dynamics-optimization approach. Expert Syst Applications 199:116929

    Article  Google Scholar 

  • Huang Y, Xu J (2022) Bi-level multi-objective programming approach for bioenergy production optimization towards co-digestion of kitchen waste and rice straw. Fuel 316:123117

    Article  CAS  Google Scholar 

  • Hussaini A (2013) Vermiculture bio-technology: an effective tool for economic and environmental sustainability. Afr J Environ Sci Technol 7(2):56–60

    Google Scholar 

  • Izquierdo-Horna L, Kahhat R, Vázquez-Rowe I (2022) Reviewing the influence of sociocultural, environmental and economic variables to forecast municipal solid waste (MSW) generation. Sustainable Production and Consumption

    Book  Google Scholar 

  • Ji Y, Gao D, Liu Q, Su J, Liu Y, Zhao J, Yang Y, Fu Y, Huang G (2023) An integrated framework for agricultural non-point source pollution control technology evaluation: Application of an improved multiple attribute decision making method. Expert Systems with Applications 229:120319. https://doi.org/10.1016/j.eswa.2023.120319

    Article  Google Scholar 

  • Jiang G, Xu D, Hao B, Liu L, Wang S, Wu Z (2021) Thermochemical methods for the treatment of municipal sludge. J Clean Prod 311:127811

    Article  CAS  Google Scholar 

  • Khan AH, López-Maldonado EA, Khan NA, Villarreal-Gómez LJ, Munshi FM, Alsabhan AH, Perveen K (2021) Current solid waste management strategies and energy recovery in developing countries-State of art review. Chemosphere 291:133088. https://doi.org/10.1016/j.chemosphere.2021.133088

    Article  CAS  Google Scholar 

  • Korucuk S, Aytekin A, Ecer F, Karamaşa Ç, Zavadskas EK (2022) Assessing green approaches and digital marketing strategies for twin transition via fermatean fuzzy SWARA-COPRAS. Axioms 11:709. https://doi.org/10.3390/axioms11120709

    Article  Google Scholar 

  • Kumar A, Agrawal A (2020) Recent trends in solid waste management status, challenges, and potential for the future Indian cities–a review. Curr Res Environ Sustain 2:100011

    Article  Google Scholar 

  • Kwon EE, Kim S, Lee J (2019) Pyrolysis of waste feedstocks in CO2 for effective energy recovery and waste treatment. J CO2 Util 31:173–180

    Article  CAS  Google Scholar 

  • Le Pera A, Sellaro M, Bencivenni E (2022) Composting food waste or digestate? Characteristics, statistical and life cycle assessment study based on an Italian composting plant. J Clean Prod 350:131552

    Article  Google Scholar 

  • Li Z, Huang T, Lee J-Y, Wang T-H, Wang S, Jia X, . . . Zhang D (2022) Crisp and fuzzy optimization models for sustainable municipal solid waste management. J Clean Prod 370:133536

  • Liang X, Ji L, Xie Y, Huang G (2022) Economic-Environment-Energy (3E) objective-driven integrated municipal waste management under deep complexities–A novel multi-objective approach. Sustain Cities Soc 87:104190

    Article  Google Scholar 

  • Lopez G, Artetxe M, Amutio M, Alvarez J, Bilbao J, Olazar M (2018) Recent advances in the gasification of waste plastics. A critical overview. Renew Sustain Energy Rev 82:576–596

    Article  CAS  Google Scholar 

  • Makarichi L, Jutidamrongphan W, Techato K-a (2018) The evolution of waste-to-energy incineration: a review. Renew Sustain Energy Rev 91:812–821

    Article  CAS  Google Scholar 

  • Mayanti B, Songok J, Helo P (2021) Multi-objective optimization to improve energy, economic and, environmental life cycle assessment in waste-to-energy plant. Waste Manag 127:147–157

    Article  Google Scholar 

  • Mayer F, Bhandari R, Gäth S (2019) Critical review on life cycle assessment of conventional and innovative waste-to-energy technologies. Sci Total Environ 672:708–721

    Article  CAS  Google Scholar 

  • Mazzei HG, Specchia S (2023) Latest insights on technologies for the treatment of solid medical waste: a review. J Environ Chem Eng 11:109309. https://doi.org/10.1016/j.jece.2023.109309

    Article  CAS  Google Scholar 

  • Minelgaitė A, Liobikienė G (2019) Waste problem in European Union and its influence on waste management behaviours. Sci Total Environ 667:86–93

    Article  Google Scholar 

  • Mir, M. A., Ghazvinei, P. T., Sulaiman, N., Basri, N., Saheri, S., Mahmood, N., . . . 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. J. Environ. Manage, 166, 109-115.

    Article  Google Scholar 

  • Moh Y (2017) Solid waste management transformation and future challenges of source separation and recycling practice in Malaysia. Resour Conserv Recycl 116:1–14

    Article  Google Scholar 

  • Munir M, Mardon I, Al-Zuhair S, Shawabkeh A, Saqib N (2019) Plasma gasification of municipal solid waste for waste-to-value processing. Renew Sustain Energy Rev 116:109461

    Article  CAS  Google Scholar 

  • Nguyen H-HT, Nguyen HT, Ahmed SF, Rajamohan N, Yusuf M, Sharma A, Arunkumar P, Deepanrah B, Tran H, Al-Gheethi A, Vo DN (2023) Emerging waste-to-wealth applications of fly ash for environmental remediation: a review. Environ Res 227:115800. https://doi.org/10.1016/j.envres.2023.115800

    Article  CAS  Google Scholar 

  • Nkuna SG, Olwal TO, Chowdhury SD (2022) Assessment of thermochemical technologies for wastewater sludge-to-energy: an advance MCDM model. Cleaner Eng Technol 9:100519

    Article  Google Scholar 

  • Ooi JK, Woon KS, Hashim H (2021) A multi-objective model to optimize country-scale municipal solid waste management with economic and environmental objectives: a case study in Malaysia. J Clean Prod 316:128366

    Article  Google Scholar 

  • Perna A, Minutillo M, Lavadera AL, Jannelli E (2018) Combining plasma gasification and solid oxide cell technologies in advanced power plants for waste to energy and electric energy storage applications. Waste Manag 73:424–438

    Article  CAS  Google Scholar 

  • Prado ES, Miranda FS, de Araujo LG, Petraconi G, Baldan MR (2020) Thermal plasma technology for radioactive waste treatment: a review. J Radioanal Nucl Chem 325:331–342

    Article  CAS  Google Scholar 

  • Rabbani M, Mokarrari KR, Akbarian-saravi N (2021) A multi-objective location inventory routing problem with pricing decisions in a sustainable waste management system. Sustain Cities Soc 75:103319

    Article  Google Scholar 

  • Ramya P, Ramya V (2023) E-waste management using hybrid optimization-enabled deep learning in IoT-cloud platform. Adv Eng Softw 176:103353

    Article  Google Scholar 

  • Ravajiri ES, Jalali A, Houshfar E (2023) Multi-objective optimization and 4E analysis of an integrated system based on waste-to-energy, solar PV, power-to-gas, and HDH-RO desalination. Energ Conver Manage 277:116677

    Article  Google Scholar 

  • Sagnak M, Berberoglu Y, Memis İ, Yazgan O (2021) Sustainable collection center location selection in emerging economy for electronic waste with fuzzy best-worst and fuzzy TOPSIS. Waste Manag 127:37–47

    Article  Google Scholar 

  • Saravanan A, Kumar PS, Nhung TC, Ramesh B, Srinivasan S, Rangasamy G (2022) A review on biological methodologies in municipal solid waste management and landfilling: resource and energy recovery. Chemosphere 309:136630. https://doi.org/10.1016/j.chemosphere.2022.136630

    Article  CAS  Google Scholar 

  • Seay J, Ternes ME (2022) A review of current challenges and legal advances in the global management of plastic waste. Clean Techn Environ Policy 24(3):731–738

    Article  Google Scholar 

  • Seker S (2022) IoT based sustainable smart waste management system evaluation using MCDM model under interval-valued q-rung orthopair fuzzy environment. Technol Soc 71:102100

    Article  Google Scholar 

  • Seo MW, Lee SH, Nam H, Lee D, Tokmurzin D, Wang S, Park Y-K (2022) Recent advances of thermochemical conversion processes for biorefinery. Bioresource technology 343:126109

    Article  CAS  Google Scholar 

  • Shahnazari A, Rafiee M, Rohani A, Nagar BB, Ebrahiminik MA, Aghkhani MH (2020) Identification of effective factors to select energy recovery technologies from municipal solid waste using multi-criteria decision making (MCDM): a review of thermochemical technologies. Sustainable Energy Technol Assess 40:100737

    Article  Google Scholar 

  • Sikarwar VS, Hrabovský M, Van Oost G, Pohořelý M, Jeremiáš M (2020) Progress in waste utilization via thermal plasma. Prog Energy Combust Sci 81:100873

    Article  Google Scholar 

  • Sondh S, Upadhyay DS, Patel S, Patel RN (2022) A strategic review on municipal solid waste (living solid waste) management system focusing on policies, selection criteria and techniques for waste-to-value. J Clean Prod 356:131908. https://doi.org/10.1016/j.jclepro.2022.131908

    Article  CAS  Google Scholar 

  • Soni A, Das P, Yusuf M (2022a) An experimental investigation on physical-mechanical-tribological performance of thermoplastic composites with partial sand replacements. Materialwissenschaft und Werkstofftechnik 53(9):1028–1042

    Article  CAS  Google Scholar 

  • Soni A, Das PK, Hashmi AW, Yusuf M, Kamyab H, Chelliapan S (2022b) Challenges and opportunities of utilizing municipal solid waste as alternative building materials for sustainable development goals: a review. Sustain Chem Pharm 27:100706

    Article  CAS  Google Scholar 

  • Soni A, Das PK, Kumar P (2022c) A review on the municipal solid waste management status, challenges and potential for the future Indian cities. Environment, Development and Sustainability, pp 1–49

    Google Scholar 

  • Soni A, Das PK, Yusuf M, Kamyab H, Chelliapan S (2022d) Development of sand-plastic composites as floor tiles using silica sand and recycled thermoplastics: a sustainable approach for cleaner production. Sci Rep 12(1):18921

    Article  CAS  Google Scholar 

  • Soni A, Das PK, Yusuf M, Pasha AA, Irshad K, Bourchak M (2022e) Synergy of RHA and silica sand on physico-mechanical and tribological properties of waste plastic–reinforced thermoplastic composites as floor tiles. Environ Sci Pollut Res:1–19

  • Soni A, Das PK, Yusuf M, Ridha S (2022f) Tribological behavior of particulates reinforced sustainable composites: effect of composition, load, and sliding speed. Sustain Chem Pharm 29:100748

    Article  CAS  Google Scholar 

  • Soni A, Kumar DP, Yusuf M, Ridha S (2022g) Experimental investigations on the workability of sustainable composite by recycling waste plastics and agro-waste. Zastita Materijala 63(4):493–501

    Article  Google Scholar 

  • Soni A, Yusuf M, Beg M, Hashmi AW (2022h) An application of artificial neural network (ANN) to predict the friction coefficient of nuclear grade graphite. Mater Today: Proc 68:701–709

    Article  CAS  Google Scholar 

  • Soni A, Yusuf M, Mishra VK, Beg M (2022i) An assessment of thermal impact on chemical characteristics of edible oils by using FTIR spectroscopy. Mater Today: Proc 68:710–716

    Article  CAS  Google Scholar 

  • Soni A, Das PK, Yusuf M, Ridha S, Kamyab H, Alam MA , . . ., Pandit B (2023a) Synergy of silica sand and waste plastics as thermoplastic composites on abrasive wear characteristics under conditions of different loads and sliding speeds. Chemosphere 323:138233

  • Soni A, Das PK, Yusuf M, Ridha S, Kamyab H, Chelliapan S, Kirpichnikova I, Mussa ZH (2023b) Valorization of post-consumers plastics and agro-waste in sustainable polymeric composites for tribological applications. Waste Biomass Valorization 1–17. https://doi.org/10.1007/s12649-023-02103-w

  • Tomić T, Kremer I, Schneider DR (2022) Economic efficiency of resource recovery—analysis of time-dependent changes on sustainability perception of waste management scenarios. Clean Techn Environ Policy 24:543–562. https://doi.org/10.1007/s10098-021-02165-1

    Article  Google Scholar 

  • Tsui T-H, Wong JW (2019) A critical review: emerging bioeconomy and waste-to-energy technologies for sustainable municipal solid waste management. Waste Disposal Sustain Energy 1:151–167

    Article  Google Scholar 

  • Varjani S, Sivashanmugam P, Tyagi VK, Gunasekaran M (2022) Breakthrough in hydrolysis of waste biomass by physico-chemical pretreatment processes for efficient anaerobic digestion. Chemosphere 294:133617

    Article  Google Scholar 

  • Vaverková MD (2019) Landfill impacts on the environment. Geosciences 9(10):431

    Article  Google Scholar 

  • Wang Z, Ren J, Goodsite ME, Xu G (2018) Waste-to-energy, municipal solid waste treatment, and best available technology: comprehensive evaluation by an interval-valued fuzzy multi-criteria decision making method. J Clean Prod 172:887–899

    Article  Google Scholar 

  • Xu J, Li R, Shi Y, Deng Y (2022) Life cycle assessment-based optimization approaches for sustainable disposal of municipal solid waste. Sustain Cities Soc 79:103665. https://doi.org/10.1016/j.scs.2021.103665

    Article  Google Scholar 

  • Yang W, Liu R, Li C, Song Y, Hu C (2021) Hydrolysis of waste polyethylene terephthalate catalyzed by easily recyclable terephthalic acid. Waste Manag 135:267–274

    Article  CAS  Google Scholar 

  • Zavadskas EK, Kaklauskas A, Turskis Z, Tamošaitienė J (2009) Multi-attribute decision-making model by applying grey numbers. Informatica 20(2):305–320

    Article  Google Scholar 

  • Zavadskas EK, Turskis Z, Vilutiene T (2010) Multiple criteria analysis of foundation instalment alternatives by applying additive ratio assessment (ARAS) method. Arch Civ Mech Eng 10(3):123–141

    Article  Google Scholar 

  • Zewdie MM, Yeshanew SM (2023) GIS based MCDM for Waste disposal site selection in Dejen town. Ethiopia, Environmental and Sustainability Indicators, p 100228

    Google Scholar 

  • Zhang Y, Cui Y, Liu S, Fan L, Zhou N, Peng P, Wang Y, Guo F, Min M, Cheng Y, Liu Y, Lie H, Chen P, Li B, Ruan R (2020) Fast microwave-assisted pyrolysis of wastes for biofuels production–A review. Bioresource technology 297:122480. https://doi.org/10.1016/j.biortech.2019.122480

    Article  CAS  Google Scholar 

  • Zhou Z, Tang Y, Chi Y, Ni M, Buekens A (2018) Waste-to-energy: a review of life cycle assessment and its extension methods. Waste Manag Res 36(1):3–16

    Article  Google Scholar 

  • Zhuo Q, Yan W (2022) Optimizing the number and location of household waste collection sites by multi-maximal covering location model: an empirical study in Minamata City, Kumamoto Prefecture Japan. J Clean Prod 379:134644

    Article  Google Scholar 

Download references

Acknowledgements

The author would like to thank the National Institute of Technology (NIT) Agartala for providing the resources in conducting this research.

Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, National Institute of Technology (NIT) Agartala, Jirania, Tripura, 799046, India

    Ashish Soni & Pankaj Kumar Das

  2. Department of Production Engineering, National Institute of Technology (NIT) Agartala, Agartala, Tripura, India

    Sanjay Kumar

Authors
  1. Ashish Soni
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Pankaj Kumar Das
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Sanjay Kumar
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

Ashish Soni: conceptualization, data curation, and writing original draft of the manuscript.

Pankaj Kumar Das supervised, edited, and provided resources and facilities for this work.

Sanjay Kumar helped in the formal analyses of the research.

Corresponding author

Correspondence to Ashish Soni.

Ethics declarations

Ethical approval and consent to participate

Ethical approval and consent to participate are not applicable since there are no human or animal subjects.

Consent for publication

All the authors agreed to the submission of the manuscript to Environmental Science and Environmental Research.

Competing interests

The authors declare no competing interests.

Additional information

Responsible Editor: Ioannis A. Katsoyiannis

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Highlights

• An integrated q-rung orthopair fuzzy number-based SWARA-COPRAS model for ranking of waste treatment facilities.

• Techno-eco and environmental considerations in solid waste management.

• Comparative and sensitivity analysis of the SWARA- COPRAS model.

• Capacity to handle impreciseness and uncertainty in making a decision.

• A reliable mathematical model for municipal solid waste management.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Soni, ., Das, P.K. & Kumar, S. Application of q-rung orthopair fuzzy based SWARA-COPRAS model for municipal waste treatment technology selection. Environ Sci Pollut Res 30, 88111–88131 (2023). https://doi.org/10.1007/s11356-023-28602-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11356-023-28602-w

Keywords

Search

Navigation