References:
[1] Hung, S., Subic, A., Wellnitz, J. "Sustainable automotive technologies", Springer, Berlin, 2011.
[2] Jaller, M., Pineda, L., Ambrose, H. "Evaluating the use of zero-emission vehicles in last mile deliveries", ITS Reports, (2017). http://dx.doi.org/10.7922/G2JM27TW Retrieved from https://escholarship.org/uc/item/7kr753nm.
[3] Davis, B. A., Figliozzi, M. A. "A methodology to evaluate the competitiveness of electric delivery trucks", Transportation Research Part E: Logistics and Transportation Review, 49(1), pp 8–23 (2013).
[4] Rasouli, S., Timmermans, H. "Uncertainty in travel demand forecasting models: Literature review and research agenda", Transportation Letters, 4(1), pp 55-73 (2012).
[5] Klemick, H., Kopits, E., Wolverton, A. et al. "Heavy-duty trucking and the energy efficiency paradox: evidence from focus groups and interviews", Transportation Research Part A: Policy and Practice, 77, pp 154–166 (2015).
[6] Brownstone, D., Bunch, D. S., Golob, T. F. et al. "Atransactions choice model for forecasting demand for alternative-fuel vehicles", Research in Transportation Economics, 4, pp 87–129 (1996).
[7] Miller, M., Wang, Q., Fulton, L. "Truck Choice Modeling: Understanding California’s Transition to Zero-Emission Vehicle Trucks Taking into Account Truck Technologies, Costs, and Fleet Decision Behavior", (2017), UC Davis: National Center for Sustainable Transportation. Retrieved from https://escholarship.org/uc/item/1xt3k10x.
[8] Zhang, Y., Jiang, Y., Rui, W. et al. "Analyzing truck fleets’ acceptance of alternative fuel freight vehicles in China", Renewable Energy, 134, pp 1148–1155 (2019).
[9] Bunch, D. S., Brandley, M., Golob, T. F. et al. "Demand for clean alternative-fuel vehicles in California: A discrete-choice stated preference pilot project", Transportation Research Part A: Policy and Practice, 27(3), pp 237–253 (1993).
[10] Kurani, K. S., Turrentine, T. Sperling, D. "Demand for electric vehicles in hybrid household: An exploratory analysis", Transport Policy, 1(4), pp 224–256 (1994).
[11] Jeremy, H., Richard, N. "Life cycle model of alternative fuel vehicles: Emissions, energy, and cost trade-offs", Transportation Research Part, 35, pp 243–266 (2001).
[12] Aydin, S., Kahraman, C. "Vehicle selection for public transportation using an integrated multi criteria decision making approach: a case of Ankara", Journal of Intelligent & Fuzzy Systems, 26(5), pp 2467-2481.
[13] Yavuz, M., Oztaysi, B., Onar, S. C. et al. "Multi-criteria evaluation of alternativefuel vehicles via a hierarchical hesitant fuzzy linguistic model", Expert System and Application, 42(5), pp 2835–2848 (2015).
[14] Wtróbski, J., Maecki, K., Kijewska, K. et al. "Multi-criteria analysis of electric vans for city logistics", Sustainability 9(8), pp 1453 (2017).
[15] Jaller, M., Otay, I., "Evaluating sustainable vehicle technologies for freight transportation using spherical fuzzy AHP and TOPSIS", Advances in Intelligent Systems and Computing, 1197, pp 118–126 (2020).
[16] Alkharabsheh, A., Moslem, S., Oubahman, L. et al. "An integrated approach of multi-criteria decision-making and grey theory for evaluating urban public transportation systems", Sustainability, 13, Article no. 2740 (2021).
[17] Ma, J., Wang, N., Kong, D. "Market forecasting modeling study for new energy vehicle based on AHP and logit regression", Journal of Tongji University, 37(8), pp 1079–1084 (2009).
[18] Erdem, C., Enturk, I. S., Simsek, T. "Identifying the factors affecting the willingness to pay for fuel-efficient vehicles in Turkey: A case of hybrids", Energy Policy, 38(6), pp 3038–3043 (2010).
[19] Maria, Y. R., Susana, M., Manfred, F. et al. "Public attitudes towards and demand for hydrogen and fuel cell vehicles: A review of the evidence and methodological implications", Energy Policy, 38, pp 5301–5310 (2010).
[20] Mabit, S. L., Fosgerau, M. "Demand for alternativefuel vehicles when registration taxes are high", Transportation Research Part D: Transport and Environment, 16(3), pp 225–231 (2011).
[21] Behnam, V., Zandieh, M., Moghaddam, R. T. "Two novel FMCDM methods for alternative-fuel buses selection", Applied Mathematical Modeling, 35, pp 1396–1412 (2011).
[22] Zhang, Y., Yu, Y., Zou, B. "Analyzing public awareness and acceptance of alternative fuel vehicles in China: The case of EV", Energy Policy, 39, pp 7015–7024 (2011).
[23] Koohathongsumrit, N., Meethom, W. "An integrated approach of fuzzy risk assessment model and data envelopment analysis for route selection in multimodal transportation networks", Expert Systems with Applications, 171, Articel no. 114342 (2021).
[24] Poudenx, P. "The effect of transportation policies on energy consumption and greenhouse gas emission from urban passenger transportation", Transportation Research Part A: Policy and Practice, 42(6), pp 901-909 (2008).
[25] Daryanto, Y., Wee, H. M., Astanti, R. D., "Three-echelon supply chain model considering carbon emission and item deterioration", Transportation Research Part E: Logistics and Transportation Review, 122, pp 368-383 (2019).
[26] Zadeh, L.A. "Fuzzy sets", Information and Control, 8, pp 338-353 (1965).
[27] Atanassov, K.T. "Intuitionistic fuzzy sets", Fuzzy Sets ans Systems, 20(1), pp 87-96 (1986).
[28] Yager, R.R., Abbasov, A.M. "Pythagorean membership grades, complex numbers, and decision making", International Journal of Intelligent Systems, 28, pp 436-452 (2013).
[29] Yager, R.R. "Pythagorean fuzzy subsets", IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 2013 Joint,
Edmonton, Canada, IEEE, pp 57-61 (2013).
[30] Yager, R.R. "Pythagorean membership grades in multi criteria decision-making", IEEE Transactions on Fuzzy Systems, 22, pp 958-965 (2014).
[31] Yager, R.R. "Generalized orthopair fuzzy sets", IEEE Transactions on Fuzzy Systems, 25, pp 1222-1230 (2017).
[32] Liu, P., Wang, P. "Some q-rung orthopair fuzzy aggregation operator and their application to multi-attribute decision making", International Journal of Intelligent Systems, 33(2), pp 259-280 (2018).
[33] Garg, H. "CN-ROFS: connection number-based q-rung orthopair fuzzy set and their application to decision-making process", International Journal of Intelligent Systems, 36(7), pp 3106–3143 (2021).
[34] Peng, X., Dai, J., Garg, H. "Exponential operation and aggregation operator for q-rung orthopair fuzzy set and their decisionmaking method with a new score function", International Journal of Intelligent Systems, 33(11), pp 2255–2282 (2018).
[35] Jana, C., Muhiuddin, G., Pal, M. "Some Dombi aggregation of q-rung orthopair fuzzy numbers in multiple-attribute decision making", International Journal of Intelligent Systems, 34(12), pp 3220–3240 (2019).
[36] Wei, G., Gao, H., Wei, Y. "Some q-rung orthopair fuzzy Heronian mean operators in multiple attribute decision making", International Journal of Intelligent Systems, 33(7), pp 1426–1458 (2018).
[37] Lin, M., Li, X., Chen, L. "Linguistic q-rung orthopair fuzzy sets and their interactional partitioned Heronian mean aggregation operators", International Journal of Intelligent Systems, 35(2), pp 217–249 (2020).
[38] Riaz, M., Salabun, W., Farid, H. M. A. et al. "A robust q-rung orthopair fuzzy information aggregation using Einstein operations with application to sustainable energy planning decision management", Energies, 13(9), Article no. 2125 (2020).
[39] Riaz, M., Pamucar, D., Farid, H. M. A. et al. "q-Rung orthopair fuzzy prioritized aggregation operators and their application towards green supplier chain management", Symmetry, 12(6), Article no. 976 (2020).
[40] Riaz, M., Farid, H. M. A., Kalsoom, H. et al. "A Robust q-rung orthopair fuzzy Einstein prioritized aggregation operators with application towards MCGDM", Symmetry, 12(6), Article no. 1058 (2020).
[41] Farid, H. M. A., Riaz, M., "Some generalized q-rung orthopair fuzzy Einstein interactive geometric aggregation operators with improved operational laws", International Journal of Intelligent Systems, 36, pp 7239-7273 (2021).
[42] Liu, P., Liu, J. "Some q-Rung Orthopai Fuzzy Bonferroni Mean Operators and Their Application to Multi-Attribute Group
Decision Making", International Journal of Intelligent Systems, 33(2), pp 315-347 (2018).
[43] Joshi, B. P., Gegov, A. " Confidence levels q-rung orthopair fuzzy aggregation operators and its applications to MCDM problems", International Journal of Intelligent Systems, 35(1), pp 125-149 (2020).
[44] Riaz, M., Razzaq, A., Kalsoom, H., et al. "q-rung orthopair fuzzy geometric aggregation operators based on generalized and group-generalized parameters with application to water loss management", Symmetry, 12(8), Article no. 1236 (2020).
[45] Riaz, M., Garg, H., Farid, H. M. A., Aslam, M. "Novel q-rung orthopair fuzzy interaction aggregation operators and their
application to low-carbon green supply chain management", Journal of Intelligent & Fuzzy Systems, 41(2), pp 4109-4126 (2021).
[46] Akram, M., Khan, A., Alcantud, J.C. R. et al. "A hybrid decision-making framework under complex spherical fuzzy prioritized weighted aggregation operators", Expert Systems, 4, Article no. 12712 (2021).
[47] Jana, C., Pal, M., Liu, P. "Multiple attribute dynamic decision making method based on some complex aggregation functions in CQROF setting", Comp. Appl. Math, 41, Article no. 103, (2022).
[48] Feng, F., Zheng, Y., Alcantud, J. C. R. et al. "Minkowski weighted score functions of intuitionistic fuzzy values", Mathematics, 8(7), pp 1-30 (2020).
[49] Ashraf, S., Abdullah, S., Zeng, S. et al. "Fuzzy decision support modeling for hydrogen power plant selection based on single valued neutrosophic Sine trigonometric aggregation operators", Symmetry, 12(2), Article no 298 (2020).
[50] Liu, P., Chen, S. M., Wang, P. "Multiple-attribute group decision-making based on q-rung orthopair fuzzy power maclaurin symmetric mean operators", IEEE Transactions on Systems, Man, and Cybernetics, 99, pp 1–16 (2019).
[51] Xing, Y., Zhang, R., Zhou, Z. "Some q-rung orthopair fuzzy point weighted aggregation operators for multi-attribute decision making", Soft Computing, 23(11), pp 627–649 (2019).
[52] Liu, P., Wang, P. "Multiple-attribute decision-making based on Archimedean Bonferroni operators of q-rung orthopair fuzzy numbers", IEEE Transactions on Fuzzy Systems, 27(5), pp 834–848 (2019).
[53] Liu, Z., Liu, P. Liang, X. "Multiple attribute decision-making method for dealing with heterogeneous relationship among attributes and unknown attribute weight information under q-rung orthopair fuzzy environment", International Journal of Intelligent Systems, 33, pp 1900–1928 (2018).
[54] Mahmood, T., Ali, Z. "A novel approach of complex q-rung orthopair fuzzy hamacher aggregation operators and their application for cleaner production assessment in gold mines", Journal of Ambient Intelligence and Humanized Computing, 12, pp 8933–8959 (2021).
[55] Saha, A., Majumder, P., Dutta, D. et al. "Multi-attribute decision making using q-rung orthopair fuzzy weighted fairly aggregation operators ", Journal of Ambient Intelligence and Humanized Computing, 12, pp 8149–8171 (2021).
[56] Hussain, A., Ali, M. I., Mahmood, T. "Hesitant q-rung orthopair fuzzy aggregation operators with their applications in multicriteria decision making ", Iranian Journal of Fuzzy Systems, 17(3), pp 117-134 (2020).
[57] Jana, C., Pal, M., Wang, J. "A robust aggregation operator for multi-criteria decision-making method with bipolar fuzzy soft environment", Iranian Journal of Fuzzy Systems, 16(6), pp 1-16 (2019).
[58] Wang, L., Garg, H., Li, N. "Pythagorean fuzzy interactive Hamacher power aggregation operators for assessment of express service quality with entropy weight", Soft Computing, 25, pp 973–993 (2021).
[59] Wang, L., Garg, H. "Algorithm for multiple attribute decision-making with interactive archimedean norm operations under pythagorean fuzzy uncertainty", International Journal of Computational Intelligence Systems, 14(1), pp 503-527 (2021).
[60] Wang, L., Li, N. "Pythagorean fuzzy interaction power Bonferroni mean aggregation operators in multiple attribute decision making", International Journal of Intelligent Systems, 35(1), pp 150-183 (2020).
[61] Wei, G. "Pythagorean fuzzy interaction aggregation operators and their application to multiple attribute decision making", Journal of Intelligent & Fuzzy Systems, 33(4), pp 2119-2132 (2017).
[62] Gao, H., Lu, M., Wei, G. et al. "Some novel Pythagorean fuzzy interaction aggregation operators in multiple attribute decision making", Fundamenta Informaticae, 159(4), pp 385-428 (2018).
[63] Garg, H. "Some series of intuitionistic fuzzy interactive averaging aggregation operators", Springer Plus, 5, Artilce no. 999 (2016).
[64] Garg, H. "Generalised Pythagorean fuzzy geometric interactive aggregation operators using Einstein operations and their application to decision making", Journal of Experimental & Theoretical Artificial Intelligence, 30(6), pp 763-794 (2018).
[65] Garg, H., Arora, "Novel scaled prioritized intuitionistic fuzzy soft interaction averaging aggregation operators and their application to multi criteria decision making", Engineering Applications of Artificial Intelligence, 71, pp 100-112 (2018).
[66] Farid, H. M. A., Riaz, M. "Single-valued neutrosophic Einstein interactive aggregation operators with applications for material selection in engineering design: case study of cryogenic storage tank", Complex and Intelligent Systems, https://doi.org/10.1007/s40747- 021-00626-0. (2022).
[67] Lin, M., Li, X., Chen, R. et al. "Picture fuzzy nteractional partitioned Heronian mean aggregation operators: an application to MADM process", Artificial Intelligence Review, 55, pp 1171–1208 (2022).
[68] Luo, S., Xing, L. "Picture fuzzy interaction partitioned heronian aggregation operators for hotel selection", Mathematics, 8(1), Aricle no 3 (2020).
[69] He, Y. D., Chen, H. Y., Zhou, L. G. "Generalized intuitionistic fuzzy geometric interaction operators and their application to decision making", Expert System and Application, 41, pp 2484–2495 (2014).
[70] Yager, R. R. "Prioritized aggregation operators", International Journal of Approximate Reasoning, 48, pp 263–274 (2008).
[71] Third Assessment Report-Climate Change 2001, the third assessment report of the intergovernmental panel on climate change, IPCC/WMO/UNEP.
[72] www.eea.europa.eu/data-and-maps/indicators/transport-emissions-of-air-pollutants-8/transport-emissions-of-air-pollutants-8.
[73] Dobranskyte-Niskota, A., Perujo, A., Pregl, M., "Indicators to assess sustainability of transport activities", European Commission Joint Research Centre Institute for Environment and Sustainability, DOI 10.2788/54736.
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