Abstract
With the continuous development of the global economy, global environmental pollution, climate degradation and global warming are becoming increasingly serious. In order to deal with the increasingly serious environmental problems, the government is vigorously supporting and promoting the development of new energy vehicles (NEVs). As the core unit of NEVs, one of the main challenges faced by hydrogen fuel cell (HFC) supplier is to select the best supplier for their business among all possible suppliers. Selecting the optimal supplier is a key decision in green supplier management. Therefore, it is extremely important and meaningful to select an optimal HFC supplier to provide power for NEVs. This paper proposes a new decision-making framework based on Decision-Making Trial and Evaluation Laboratory (DEMATEL) method and Complex proportional assessment (COPRAS) method under interval-valued probabilistic linguistic environment to select the appropriate HFC supplier of NEVs. Firstly, this paper establishes the evaluation criteria system of HFC supplier assessment which is the synthesis of economical, environmental, social, technical, organisation and service aspects. Then, in order to express the uncertainty of expert decision-making, this paper uses interval-valued probabilistic linguistic term set (IVPLTS) to describe the evaluation information. Next, the interval-valued probabilistic linguistic term set decision-making trial and evaluation laboratory (IVPLTS-DEMATEL) method is applied to calculate the criteria weights. Moreover, this paper constructs the interval-valued probabilistic linguistic term set Complex Proportional Assessment (IVPLTS-COPRAS) model for the selection of HFC supplier of NEVs. Finally, a case in China with sensitivity analysis and comparison analysis are executed to illustrate the feasibility and validity of the proposed approach. This paper provides valuable references for investors and companies to select the most appropriate HFC supplier of NEVs under uncertain environment.
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Abbreviations
- NEVs:
-
New energy vehicles
- HFCVs:
-
Hydrogen fuel cell vehicles
- HFC:
-
Hydrogen fuel cell
- DEMATEL:
-
Decision-Making Trial and Evaluation Laboratory
- COPRAS:
-
Complex proportional assessment
- IVPLTS:
-
Interval-valued probabilistic linguistic term set
- IVPLTS-DEMATEL:
-
Interval-valued probabilistic linguistic term set decision-making trial and evaluation laboratory
- IVPLTS-COPRAS:
-
Interval-valued probabilistic linguistic term set Complex Proportional Assessment
- MCDM:
-
Multi-criteria decision-making
- TOPSIS:
-
Technique for order of preference by similarity to ideal solution
- VIKOR:
-
Vise Kriterijumsk Optimizacija Kompromisno Resenje
- DMs:
-
Decision-makers
References
Abdel-Baset M, Chang V, Gamal A, Smarandache F (2019) An integrated neutrosophic ANP and VIKOR method for achieving sustainable supplier selection: A case study in importing field. Comput Ind 106:94–110. https://doi.org/10.1016/j.compind.2018.12.017
Afrane S, Ampah JD, Agyekum EB, Amoh PO, Yusuf AA, Fattah IMR, Agbozo E, Elgamli E, Shouran M, Mao G, Kamel S (2022) Integrated AHP-TOPSIS under a Fuzzy Environment for the Selection of Waste-To-Energy Technologies in Ghana: A Performance Analysis and Socio-Enviro-Economic Feasibility Study. Int J Environ Res Public Health 19. https://doi.org/10.3390/ijerph19148428
Alamroshan F, La’li M, Yahyaei M (2022) The green-agile supplier selection problem for the medical devices: a hybrid fuzzy decision-making approach. Environ Sci Pollut Res 29(5):6793–6811. https://doi.org/10.1007/s11356-021-14690-z
Ali J, Lee B, Oh J, Lee J, Roh B (2021) A novel features prioritization mechanism for controllers in software-defined networking. Comput Mater Continua 69(1):267–82. https://doi.org/10.32604/cmc.2021.017813
Alipour M, Hafezi R, Rani P, Hafezi M, Mardani A. (2021) A new Pythagorean fuzzy-based decision-making method through entropy measure for fuel cell and hydrogen components supplier selection. Energy 234. https://doi.org/10.1016/j.energy.2021.121208
Bai C, Zhang R, Shen S, Huang C, Fan X (2018) Interval-valued probabilistic linguistic term sets in multi-criteria group decision making. Int J Intell Syst 33(6):1301–1321. https://doi.org/10.1002/int.21983
Banaeian N, Mobli H, Fahimnia B, Nielsen IE, Omid M (2018) Green supplier selection using fuzzy group decision making methods: A case study from the agri-food industry. Comput Oper Res 89:337–347. https://doi.org/10.1016/j.cor.2016.02.015
Baumann M, Weil M, Peters JF, Chibeles-Martins N, Moniz AB (2019) A review of multi-criteria decision making approaches for evaluating energy storage systems for grid applications. Renew Sustain Energy Rev 107:516–534. https://doi.org/10.1016/j.rser.2019.02.016
Cano ZP, Banham D, Ye S et al (2018) Batteries and fuel cells for emerging electric vehicle markets. Nat Energy 3(4):279–289. https://doi.org/10.1038/s41560-018-0108-1
Che Y, Zhang X (2022) A novel multi-criteria decision-making framework for selecting municipal solid waste management alternative with 2-dimensional uncertain linguistic sets. Environ Sci Pollut Res 29:68582–68599. https://doi.org/10.1007/s11356-022-20494-6
Chen Z, Ming X, Zhou T, Chang Y (2020) Sustainable supplier selection for smart supply chain considering internal and external uncertainty: An integrated rough-fuzzy approach. Applied Soft Computing 87. https://doi.org/10.1016/j.asoc.2019.106004
Chen Y, Wang Y (2021) Multi-attribute group decision making based on power aggregation operators under interval-valued probabilistic linguistic term set. Fuzzy Syst Math 35(3):91–107
Dhiman HS, Deb D (2020) Fuzzy TOPSIS and fuzzy COPRAS based multi-criteria decision making for hybrid wind farms. Energy 202. https://doi.org/10.1016/j.energy.2020.117755
Dou Y, Zhu Q, Sarkis J (2014) Evaluating green supplier development programs with a grey-analytical network process-based methodology. Eur J Oper Res 233:420–431. https://doi.org/10.1016/j.ejor.2013.03.004
Dweiri F, Kumar S, Khan SA, Jain V (2016) Designing an integrated AHP based decision support system for supplier selection in automotive industry. Expert Syst Appl 62:273–283. https://doi.org/10.1016/j.eswa.2016.06.030
Fallahpour A, Olugu EU, Musa SN, Wong KY, Noori S (2017c) A decision support model for sustainable supplier selection in sustainable supply chain management. Comput Ind Eng 105:391–410. https://doi.org/10.1016/j.cie.2017.01.005
Fallahpour A, Wong K Y, Rajoo S, et al. (2021a) An integrated approach for a sustainable supplier selection based on Industry 4.0 concept. Environ Sci Pollut Res 1–19. https://doi.org/10.1007/s11356-021-17445-y
Fallahpour A, Nayeri S, Sheikhalishahi M, et al. (2021b) A hyper-hybrid fuzzy decision-making framework for the sustainable-resilient supplier selection problem: a case study of Malaysian Palm oil industry. Environ Sci Pollut Res 1–21. https://doi.org/10.1007/s11356-021-12491-y
Fu C, Ding X, Chang W (2022) An interval-valued linguistic Markov decision model with fast convergency. Eng Appl Artif Intell 114. https://doi.org/10.1016/j.engappai.2022.105158
Garg R, Kumar R, Garg S (2019) MADM-based parametric selection and ranking of e-learning websites using fuzzy COPRAS. IEEE Trans Educ 62(1):11–18. https://doi.org/10.1109/TE.2018.2814611
Ghadikolaei AS, Parkouhi SV, Saloukolaei DD (2022) Extension of a hybrid MABAC–DANP method under gray environment for green supplier selection. Int J Inf Technol Decis Mak 21(2):755–788. https://doi.org/10.1142/S021962202150070X
Grimm JH, Hofstetter JS, Sarkis J (2014) Critical factors for sub-supplier management:a sustainable food supply chains perspective. Int J Prod Econ 152:159–173. https://doi.org/10.1016/j.ijpe.2013.12.011
Gupta S, Soni U, Kumar G (2019) Green supplier selection using multi-criterion decision making under fuzzy environment: A case study in automotive industry. Comput Ind Eng 136:663–680. https://doi.org/10.1016/j.cie.2019.07.038
Hashemi S, Karimi A, Tavana M (2015) An integrated green supplier selection approach with analytic network process and improved Grey relational analysis. Int J Prod Econ 159:178–191. https://doi.org/10.1016/j.ijpe.2014.09.027
Hashemkhani ZS, Pourhossein M, Yazdani M, Zavadskas EK (2018) Evaluating construction projects of hotels based on environmental sustainability with MCDM framework. Alex Eng J 57(1):357–365. https://doi.org/10.1016/j.aej.2016.11.002
He Q, Chen P (2022) Developing a green supplier evaluation system for the Chinese semiconductor manufacturing industry based on supplier willingness. Oper Manag Res pp. 1–18. https://doi.org/10.1007/s12063-022-00299-z
Hendiani S, Mahmoudi A, Liao H (2020) A multi-stage multi-criteria hierarchical decision-making approach for sustainable supplier selection. Appl Soft Comput 94. https://doi.org/10.1016/j.asoc.2020.106456
Herrera F, Herrera-Viedma E, Verdegay JL (1995) A sequential selection process in group decision making with a linguistic assessment approach. Inf Sci 85(4):223–239. https://doi.org/10.1016/0020-0255(95)00025-K
Hosseini Dehshiri SJ, Emamat MSMM, Amiri M (2022) A novel group BWM approach to evaluate the implementation criteria of blockchain technology in the automotive industry supply chain. Expert Syst Appl 198. https://doi.org/10.1016/j.eswa.2022.116826
Jain V, Sangaiah AK, Sakhuja S, Thoduka N, Aggarwal R (2018) Supplier selection using fuzzy AHP and TOPSIS: a case study in the Indian automotive industry. Neural Comput Appl 29:555–564. https://doi.org/10.1007/s00521-016-2533-z
Jasim NA (2021) Evaluation of contractors performance in Iraqi Construction Projects Using Multiple Criteria Complex Proportional Assessment Method (COPRAS). IOP Conf Ser Mater Sci Eng 1076(1):12106
Kamranfar S, Azimi Y, Gheibi M et al (2022) Analyzing green construction development barriers by a hybrid decision-making method based on DEMATEL and the ANP. Buildings 12(10):1641. https://doi.org/10.3390/buildings12101641
Kang D, Anuja A, Narayanamoorthy S, Gangemi M, Ahmadian A (2022) A dual hesitant q-rung orthopair enhanced MARCOS methodology under uncertainty to determine a used PPE kit disposal. Environ Sci Pollut Res pp. 1–18. https://doi.org/10.1007/s11356-022-21601-3
Kayapinar Kaya S, Aycin E (2021) An integrated interval type 2 fuzzy AHP and COPRAS-G methodologies for supplier selection in the era of Industry 4.0. Neural Comput Appl 33(16):10515–35. https://doi.org/10.1007/s00521-021-05809-x
Khan SA, Kusi-Sarpong S, Arhin FK, Kusi-Sarpong H (2018) Supplier sustainability performance evaluation and selection: A framework and methodology. J Clean Prod 205:964–979. https://doi.org/10.1016/j.jclepro.2018.09.144
Krishankumar R, Mishra AR, Ravichandran KS, Peng X, Zavadskas EK, Cavallaro F, Mardani A (2020) A Group Decision Framework for Renewable Energy Source Selection under Interval-Valued Probabilistic linguistic Term Set. Energies (basel) 13(4):986. https://doi.org/10.3390/en13040986
Li P, Peng H (2020) A Novel IVPLTS Decision Method Based on Regret Theory and Cobweb Area Model”. Math Probl Eng 2020:1–10. https://doi.org/10.1155/2020/5649525
Li P, Chen H (2021) Evaluation of green building suppliers based on IVPLTS-CBR decision-making method. Int J Intell Comput Cybern 15:17–40. https://doi.org/10.1108/IJICC-06-2021-0118
Li B, Zhang Y, Xu Z (2020a) The Medical Treatment Service Matching Based on the Probabilistic Linguistic Term Sets with Unknown Attribute Weights. Int J Fuzzy Syst 22(5):1487–1505. https://doi.org/10.1007/s40815-020-00844-7
Li P, Liu J, Wei C (2020b) Factor relation analysis for sustainable recycling partner evaluation using probabilistic linguistic DEMATEL. Fuzzy Optim Decis Making 19(4):471–497. https://doi.org/10.1007/s10700-020-09326-9
Li Y, Zhang Y, Xu Z (2020c) A Decision-Making Model Under Probabilistic Linguistic Circumstances with Unknown Criteria Weights for Online Customer Reviews. Int J Fuzzy Syst 22(3):777–789. https://doi.org/10.1007/s40815-020-00812-1
Liang D, Kobina A, Quan W (2018) Grey Relational Analysis Method for Probabilistic Linguistic Multi-criteria Group Decision-Making Based on Geometric Bonferroni Mean. Int J Fuzzy Syst 20(7):2234–2244. https://doi.org/10.1007/s40815-017-0374-2
Liu F, Zhao F, Liu Z, Hao H (2018) The impact of fuel cell vehicle deployment on road transport greenhouse gas emissions: The China case. Int J Hydrogen Energy 43:22604–22621. https://doi.org/10.1016/j.ijhydene.2018.10.088
Liu A, Xiao Y, Lu H, Tsai S, Song W (2019a) A fuzzy three-stage multi-attribute decision-making approach based on customer needs for sustainable supplier selection. J Clean Prod 239. https://doi.org/10.1016/j.jclepro.2019.118043
Liu H, Quan M, Li Z, Wang Z (2019b) A new integrated MCDM model for sustainable supplier selection under interval-valued intuitionistic uncertain linguistic environment. Inf Sci 486:254–270. https://doi.org/10.1016/j.ins.2019.02.056
Liu X, Tian G, Fathollahi-Fard AM, Mojtahedi M (2020) Evaluation of ship’s green degree using a novel hybrid approach combining group fuzzy entropy and cloud technique for the order of preference by similarity to the ideal solution theory. Clean Technol Environ Policy 22(2):493–512. https://doi.org/10.1007/s10098-019-01798-7
Liu P, Gao H, Fujita H (2021) The new extension of the MULTIMOORA method for sustainable supplier selection with intuitionistic linguistic rough numbers. Appl Soft Comput 99. https://doi.org/10.1016/j.asoc.2020.106893
Luthra S, Govindan K, Kannan D, Mangla SK, Garg CP (2017) An integrated framework for sustainable supplier selection and evaluation in supply chains. J Clean Prod 140(3):1686–1698. https://doi.org/10.1016/j.jclepro.2016.09.078
Manerba D, Mansini R, Perboli G (2018) The Capacitated Supplier Selection problem with Total Quantity Discount policy and Activation Costs under uncertainty. Int J Prod Econ 198:119–132. https://doi.org/10.1016/j.ijpe.2018.01.035
Mao Q, Chen J, Lv J, et al. (2023) Selection of plastic solid waste treatment technology based on cumulative prospect theory and fuzzy DEMATEL. Environ Sci Pollut Res 1–32. https://doi.org/10.3390/10.1007/s11356-022-25004-2
Memari A, Dargi A, Akbari Jokar MR, Ahmad R, Abdul Rahim AR (2019) Sustainable supplier selection: A multi-criteria intuitionistic fuzzy TOPSIS method. J Manuf Syst 50:9–24. https://doi.org/10.1016/j.jmsy.2018.11.002
Mishra AR, Rani P, Mardani A, Pardasani KR, Govindan K, Alrasheedi M (2020) Healthcare evaluation in hazardous waste recycling using novel interval-valued intuitionistic fuzzy information based on complex proportional assessment method. Comput Ind Eng 139:106140. https://doi.org/10.1016/j.cie.2019.106140
Mohammed A, Harris I, Govindan K (2019) A hybrid MCDM-FMOO approach for sustainable supplier selection and order allocation. Int J Prod Econ 217:171–184. https://doi.org/10.1016/j.ijpe.2019.02.003
Narayanamoorthy S, Ramya L, Kalaiselvan S, Kureethara JV, Kang D (2021) Use of DEMATEL and COPRAS method to select best alternative fuel for control of impact of greenhouse gas emissions. Socio-Econ Plan Sci 76. https://doi.org/10.1016/j.seps.2020.100996
Nezhadroshan AM, Fathollahi-Fard AM, Hajiaghaei-Keshteli M (2021) A scenario-based possibilistic-stochastic programming approach to address resilient humanitarian logistics considering travel time and resilience levels of facilities. Int J Syst Sci: Oper Logist 8(4):321–347. https://doi.org/10.1080/23302674.2020.1769766
Pang Q, Wang H, Xu Z (2016) Probabilistic linguistic term sets in multi-attribute group decision making. Inf Sci 369:128–143. https://doi.org/10.1016/j.ins.2016.06.021
Patil SK, Kant R (2014) A hybrid approach based on fuzzy DEMATEL and FMCDM to predict success of knowledge management adoption in supply chain. Appl Soft Comput 18:126–135. https://doi.org/10.1016/j.asoc.2014.01.027
Rodriguez RM, Martinez L, Herrera F (2012) Hesitant Fuzzy Linguistic Term Sets for Decision Making. IEEE Trans Fuzzy Syst 20(1):109–119. https://doi.org/10.1109/TFUZZ.2011.2170076
Rong L, Wang L, Liu P (2022) Supermarket fresh food suppliers evaluation and selection with multigranularity unbalanced hesitant fuzzy linguistic information based on prospect theory and evidential theory. Int J Intell Syst 37(3):1931–1971. https://doi.org/10.1002/int.22761
Safaeian M, Fathollahi-Fard AM, Tian G et al (2019) A multi-objective supplier selection and order allocation through incremental discount in a fuzzy environment. J Intell Fuzzy Syst 37(1):1435–1455. https://doi.org/10.3233/JIFS-182843
Sarkis J, Dhavale D (2015) Supplier selection for sustainable operations: A triple-bottom-line approach using a Bayesian framework. Int J Prod Econ 166:177–191. https://doi.org/10.1016/j.ijpe.2014.11.007
Savkovic S, Jovancic P, Djenadic S, Tanasijevic M, Miletic F (2022) Development of the hybrid MCDM model for evaluating and selecting bucket wheel excavators for the modernization process. Exp Syst Appl 201. https://doi.org/10.1016/j.eswa.2022.117199
Shahsavar MM, Akrami M, Kian Z et al (2022) Bio-recovery of municipal plastic waste management based on an integrated decision-making framework. J Ind Eng Chem 108:215–234. https://doi.org/10.1016/j.jiec.2022.01.002
Shieh J, Wu H, Huang K (2010) A DEMATEL method in identifying key success factors of hospital service quality. Knowl-Based Syst 23(3):277–282. https://doi.org/10.1016/j.knosys.2010.01.013
Sivagami R, Krishankumar R, Sangeetha V, Ravichandran KS, Kar S, Gandomi AH (2021) Assessment of cloud vendors using interval-valued probabilistic linguistic information and unknown weights. Int J Intell Syst 36(8):3813–3851. https://doi.org/10.1002/int.22439
Soroudi M, Omrani G, Moataar F et al (2018) A comprehensive multi-criteria decision making-based land capability assessment for municipal solid waste landfill sitting. Environ Sci Pollut Res 25:27877–27889. https://doi.org/10.1007/s11356-018-2765-9
Stević Ž, Pamučar D, Puška A, Chatterjee P (2020) Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of alternatives and ranking according to COmpromise solution (MARCOS). Comput Ind Eng 140. https://doi.org/10.1016/j.cie.2019.106231
Sun L, Peng J, Dinçer H, Yüksel S (2022) Coalition-oriented strategic selection of renewable energy system alternatives using q-ROF DEMATEL with golden cut. Energy 256. https://doi.org/10.1016/j.energy.2022.124606
Tavana M, Shaabani A, Santos-Arteaga FJ et al (2021) An integrated fuzzy sustainable supplier evaluation and selection framework for green supply chains in reverse logistics. Environ Sci Pollut Res 28(38):53953–53982. https://doi.org/10.1007/s11356-021-14302-w
Tian G, Lu W, Zhang X, et al. (2023) A survey of multi-criteria decision-making techniques for green logistics and low-carbon transportation systems. Environ Sci Pollut Res 1–23. https://doi.org/10.1007/s11356-023-26577-2
Wang H, Xu Z, Zeng X (2018) Hesitant fuzzy linguistic term sets for linguistic decision making: Current developments, issues and challenges. Inform Fusion 43:1–12. https://doi.org/10.1016/j.inffus.2017.11.010
Wang R, Li X, Li C (2021a) Optimal selection of sustainable battery supplier for battery swapping station based on Triangular fuzzy entropy -MULTIMOORA method. J Energy Storage 34. https://doi.org/10.1016/j.est.2020.102013
Wang W, Tian G, Zhang T et al (2021b) Scheme selection of design for disassembly (DFD) based on sustainability: A novel hybrid of interval 2-tuple linguistic intuitionistic fuzzy numbers and regret theory. J Clean Prod 281:124724. https://doi.org/10.1016/j.jclepro.2020.124724
Wang C, Dang T, Nguyen N, Wang J (2022) A combined Data Envelopment Analysis (DEA) and Grey Based Multiple Criteria Decision Making (G-MCDM) for solar PV power plants site selection: A case study in Vietnam. Energy Rep 8:1124–1142. https://doi.org/10.1016/j.egyr.2021.12.045
Wei C, Rodríguez RM, Li P (2020) Note on entropies of hesitant fuzzy linguistic term sets and their applications. Inf Sci 512:352–368. https://doi.org/10.1016/j.ins.2019.06.018
Wu P, Zhou L, Martínez L (2022) An integrated hesitant fuzzy linguistic model for multiple attribute group decision-making for health management center selection. Comput Ind Eng 171. https://doi.org/10.1016/j.cie.2022.108404
Xu Z, Qin J, Liu J, Martínez L (2019) Sustainable supplier selection based on AHPSort II in interval type-2 fuzzy environment. Inf Sci 483:273–293. https://doi.org/10.1016/j.ins.2019.01.013
Yan X, Bao X, Zhao R et al (2022) Performance measurement for green supplier selection based on data envelopment analysis. Environ Sci Pollut Res 29(30):45960–45970. https://doi.org/10.1007/s11356-021-17897-2
Yazdani M, Alidoosti A, Zavadskas EK (2011) Risk analysis of critical infrastructures using fuzzy COPRAS. Econ Res-Ekonomska Istraživanja 24(4):27–40. https://doi.org/10.1080/1331677X.2011.11517478
Yu C, Shao Y, Wang K, Zhang L (2019) A group decision making sustainable supplier selection approach using extended TOPSIS under interval-valued Pythagorean fuzzy environment. Expert Syst Appl 121:1–17. https://doi.org/10.1016/j.eswa.2018.12.010
Yuan Y, Xu Z, Zhang Y (2022) The DEMATEL–COPRAS hybrid method under probabilistic linguistic environment and its application in Third Party Logistics provider selection. Fuzzy Optim Decis Making 21(1):137–156. https://doi.org/10.1007/s10700-021-09358-9
Zadeh LA (1975) The concept of a linguistic variable and its application to approximate reasoning-I. Inf Sci 8(3):109–119. https://doi.org/10.1016/0020-0255(75)90036-5
Zavadskas EK, Kaklauskas A (1996) Determination of an efficient contractor by using the new method of multi criteria assessment. In: Langford DA, Retik A (eds) International symposium for the organization and management of construction: shaping theory and practice. Managing the construction project and managing risk, vol 2. Taylor & Francis, Routledge, pp 94–104
Zhang C, Tian G, Fathollahi-Fard AM et al (2020) Interval-valued intuitionistic uncertain linguistic cloud petri net and its application to risk assessment for subway fire accident. IEEE Trans Autom Sci Eng 19(1):163–177. https://doi.org/10.1109/TASE.2020.3014907
Zhang Z, Gao J, GaoY, Yu W (2021) Two-sided matching decision making with multi-granular hesitant fuzzy linguistic term sets and incomplete criteria weight information. Expert Syst Appl 168. https://doi.org/10.1016/j.eswa.2020.114311
Zheng Y, Xu Z, He Y, Liao H (2018) Severity assessment of chronic obstructive pulmonary disease based on hesitant fuzzy linguistic COPRAS method. Appl Soft Comput 69:60–71. https://doi.org/10.1016/j.asoc.2018.04.035
Zuo W, Li Y, Wang Y (2019) Research on the optimization of new energy vehicle industry research and development subsidy about generic technology based on the three-way decisions. J Clean Prod 212:46–55. https://doi.org/10.1016/j.jclepro.2018.11.263
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All authors contributed to the study conception and design. Conceptualization, data curation and investigation were performed by Qinghua Mao. Jinjin Chen contributed to methodology, software, formal analysis, writing—original draft and writing—review & editing. Jian Lv contributed to resources and supervision. Validation, methodology and supervision were performed by Mengxin Guo. Mingjun Tian contributed to investigation and supervision.
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Mao, Q., Chen, J., Lv, J. et al. A hybrid DEMATEL-COPRAS method using interval-valued probabilistic linguistic term set for sustainable hydrogen fuel cell supplier of new energy vehicles. Environ Sci Pollut Res 30, 74236–74264 (2023). https://doi.org/10.1007/s11356-023-27470-8
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DOI: https://doi.org/10.1007/s11356-023-27470-8