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Research Article

An approach to hesitant fuzzy linguistic multiple criteria group decision making with uncertain criteria weights considering incomparability between alternatives

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Pages 2606-2618 | Received 16 May 2022, Accepted 13 Dec 2022, Published online: 10 Feb 2023

References

  • Angilella, S., & Mazzu, S. (2019). A credit risk model with an automatic override for innovative small and medium-sized enterprises. Journal of the Operational Research Society, 70(10), 1784–1800. https://doi.org/10.1080/01605682.2017.1411313
  • Cavaliere, D., Morente-Molinera, J. A., Loia, V., Senatore, S., & Herrera-Viedma, E. (2020). Collective scenario understanding in a multivehicle system by consensus decision making. IEEE Transactions on Fuzzy Systems, 28(9), 1984–1995. https://doi.org/10.1109/TFUZZ.2019.2928787
  • Chen, Y. L., & Cheng, L. C. (2009). Mining maximum consensus sequences from group ranking data. European Journal of Operational Research, 198(1), 241–251. https://doi.org/10.1016/j.ejor.2008.09.00
  • Cheng, D., Yuan, Y. X., Wu, Y., Hao, T. T., & Cheng, F. X. (2022). Maximum satisfaction consensus with budget constraints considering individual tolerance and compromise limit behaviors. European Journal of Operational Research, 297(1), 221–238. https://doi.org/10.1016/j.ejor.2021.04.051
  • Degen, F., & Kratzig, O. (2022). Future in battery production: An extensive benchmarking of novel production technologies as guidance for decision making in engineering. IEEE Transactions on Engineering Management, 1–19. https://doi.org/10.1109/TEM.2022.3144882
  • Di Bella, E., Gandullia, L., Leporatti, L., Montefiori, M., & Orcamo, P. (2018). Ranking and prioritization of emergency departments based on multi-indicator systems. Social Indicators Research, 136(3), 1089–1107. https://doi.org/10.1007/s11205-016-1537-5
  • Erol, I., Ar, I. M., Peker, I., & Searcy, C. (2022). Alleviating the impact of the barriers to circular economy adoption through blockchain: An investigation using an integrated MCDM-based QFD with hesitant fuzzy linguistic term sets. Computers & Industrial Engineering, 165, 107962. https://doi.org/10.1016/j.cie.2022.107962
  • Finger, G. S. W., & Lima, F. R. (2022). A hesitant fuzzy linguistic QFD approach for formulating sustainable supplier development programs. International Journal of Production Economics, 247, 108428. https://doi.org/10.1016/j.ijpe.2022.108428
  • Jabeur, K., & Martel, J. (2010). An agreement index with respect to a consensus preorder. Group Decision and Negotiation, 19(6), 571–590. https://doi.org/10.1007/s10726-009-9160-3
  • Keck, S., & Tang, W. J. (2021). Elaborating or aggregating? The joint effects of group decision-making structure and systematic errors on the value of group interactions. Management Science, 67(7), 4287–4309. https://doi.org/10.1287/mnsc.2020.3688
  • Kundu, P., Gorcun, O. F., & Kucukonder, H. (2021). Medical device selection in private hospitals by integrated fuzzy MCGDM methods: A case study in choosing MRI (Magnetic Resonance Imaging) System. Journal of the Operational Research Society, 73, 2059–2079. https://doi.org/10.1080/01605682.2021.1960910
  • Liao, H. C., Wu, X. L., Liang, X. D., Xu, J. P., & Herrera, F. (2018). A new hesitant fuzzy linguistic ORESTE method for hybrid multi-criteria decision making. IEEE Transactions on Fuzzy Systems, 26(6), 3793–3807. https://doi.org/10.1109/TFUZZ.2018.2849368
  • Liao, H. C., Xu, Z. S., & Zeng, X. J. (2014). Distance and similarity measures for hesitant fuzzy linguistic term sets and their application in multi-criteria decision making. Information Sciences, 271, 125–142. https://doi.org/10.1016/j.ins.2014.02.125
  • Liao, H. C., Xu, Z. S., & Zeng, X. J. (2015). Hesitant fuzzy linguistic VIKOR method and its application in qualitative multiple criteria decision making. IEEE Transactions on Fuzzy Systems, 23(5), 1343–1355. https://doi.org/10.1109/TFUZZ.2014.2360556
  • Lima, A. S., de Souza, J. N., Moura, J. A., & da Silva, I. P. (2018). A consensus-based multicriteria group decision model for information technology management committees. IEEE Transactions on Engineering Management, 65(2), 276–292. https://doi.org/10.1109/TEM.2017.2787564
  • Ma, L. C. (2016). A new group ranking approach for ordinal preferences based on group sequences. European Journal of Operational Research, 251(1), 171–181. https://doi.org/10.1016/j.ejor.2015.10.042
  • Mehlawat, M. K., Gupta, P., Khaitan, A., & Pedrycz, W. (2020). A hybrid intelligent approach to integrated fuzzy multiple depot capacitated green vehicle routing problem with split delivery and vehicle selection. IEEE Transactions on Fuzzy Systems, 28(6), 1155–1166. https://doi.org/10.1109/TFUZZ.2019.2946110
  • Meng, F. Y., & Ding, Y. Q. (2020). An improved ELECTRE-III for recommending new energy vehicles with heterogeneous decision-making information. International Journal of Modelling, Identification and Control, 34(4), 328–341. https://doi.org/10.1504/IJMIC.2020.112298
  • Mohamadabadi, H. S., Tichkowsky, G., & Kumar, A. (2009). Development of a multi-criteria assessment model for ranking of renewable and non-renewable transportation fuel vehicles. Energy, 34(1), 112–125. https://doi.org/10.1016/j.energy.2008.09.004
  • Oztaysi, B., Onar, S. C., & Kahraman, C. (2021). Electric vehicle selection by using fuzzy KEMIRA. Journal of Multiple-Valued Logic and Soft Computing, 37(3–4), 437–461.
  • Rodríguez, R. M., Martinez, L., & Herrera, F. (2012). Hesitant fuzzy linguistic terms sets for decision making. IEEE Transactions on Fuzzy Systems, 20(1), 109–119. https://doi.org/10.1109/TFUZZ.2011.2170076
  • Roubens, M., & Vincke, P. (1985). Preference modelling. Lecture notes in economics and mathematical systems. Springer-Verlag.
  • Roy, B. (1991). The outranking approach and the foundations of ELECTRE methods. Theory and Decision, 31(1), 49–73. https://doi.org/10.1007/BF00134132
  • Tang, J., Meng, F. Y., & Zhang, Y. L. (2022). Common probability-based interactive algorithms for group decision making with normalized probability linguistic preference relations. Fuzzy Optimization and Decision Making, 21(1), 99–136. https://doi.org/10.1007/s10700-021-09360-1
  • Tian, Z. P., Nie, R. X., Wang, J. Q., & Zhang, H. Y. (2019). Signed distance-based ORESTE for multicriteria group decision-making with multigranular unbalanced hesitant fuzzy linguistic information. Expert Systems, 36(1), e12350. https://doi.org/10.1111/exsy.12350
  • Turk, S., Deveci, M., Ozcan, E., Canitez, F., & John, R. (2021). Interval type-2 fuzzy sets improved by Simulated Annealing for locating the electric charging stations. Information Sciences, 547, 641–666. https://doi.org/10.1016/j.ins.2020.08.076
  • Valogianni, K., Ketter, W., Collins, J., & Zhdanov, D. (2020). Sustainable electric vehicle charging using adaptive pricing. Production and Operations Management, 29(6), 1550–1572. https://doi.org/10.1111/poms.13179
  • Vanhuylenbroeck, G. (1995). The conflict-analysis method-bridging the gap between ELECTRE, PROMETHEE and ORESTE. European Journal of Operational Research, 82(3), 490–502.
  • Wang, J. Q., Wu, J. T., Wang, J., Zhang, H. Y., & Chen, X. H. (2014). Interval-valued hesitant fuzzy linguistic sets and their applications in multi-criteria decision-making problems. Information Sciences, 288, 55–72. https://doi.org/10.1016/j.ins.2014.07.034
  • Wei, G. W., Wei, C., Wu, J., & Guo, Y. F. (2021). Probabilistic linguistic multiple attribute group decision making for location planning of electric vehicle charging stations based on the generalized Dice similarity measures. Artificial Intelligence Review, 54(6), 4137–4167. https://doi.org/10.1007/s10462-020-09950-2
  • Wu, W. S., Kou, G., & Peng, Y. (2018). A consensus facilitation model based on experts’ weights for investment strategy selection. Journal of the Operational Research Society, 69(9), 1435–1444. https://doi.org/10.1080/01605682.2017.1398203
  • Wu, Y. N., Jia, W. B., Li, L. W. Y., Song, Z. X., Xu, C. B., & Liu, F. T. (2019). Risk assessment of electric vehicle supply chain based on fuzzy synthetic evaluation. Energy, 182, 397–411. https://doi.org/10.1016/j.energy.2019.06.007
  • Wu, Z., & Liao, H. C. (2022). Multi-criteria group decision making with a partial-ranking-based ordinal consensus reaching process for automotive development management. Economic Research-Ekonomska Istraživanja, Published Online, 35(1), 4839–4864. https://doi.org/10.1080/1331677X.2021.2019077
  • Xu, J. P., Zhong, L., Yao, L. M., & Wu, Z. B. (2018). An interval type-2 fuzzy analysis towards electric vehicle charging station allocation from a sustainable perspective. Sustainable Cities and Society, 40, 335–351. https://doi.org/10.1016/j.scs.2017.12.010
  • Xu, Z. S. (2005). Deviation measures of linguistic preference relations in group decision making. Omega, 33(3), 249–254. https://doi.org/10.1016/j.omega.2004.04.008
  • Yoo, Y., Escobedo, A. R., & Skolfield, J. K. (2020). A new correlation coefficient for comparing and aggregating non-strict and incomplete rankings. European Journal of Operational Research, 285(3), 1025–1041. https://doi.org/10.1016/j.ejor.2020.02.027
  • Zadeh, L. A. (1975). The concept of a linguistic variable and its application to approximate reasoning-I. Information Sciences, 8(3), 199–249. https://doi.org/10.1016/0020-0255(75)90036-5
  • Zhou, J. L., Wu, Y. N., Wu, C. H., He, F. Y., Zhang, B. Y., & Liu, F. T. (2020). A geographical information system based multi-criteria decision-making approach for location analysis and evaluation of urban photovoltaic charging station: A case study in Beijing. Energy Conversion and Management, 205, 112340. https://doi.org/10.1016/j.enconman.2019.112340
  • Ziemba, P. (2021). Multi-criteria approach to stochastic and fuzzy uncertainty in the selection of electric vehicles with high social acceptance. Expert Systems with Applications, 173, 114686. https://doi.org/10.1016/j.eswa.2021.114686

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