A novel consensus model with probabilistic linguistic preference relation for the utilization mode selection of renewable energy sources
Tóm tắt
Từ khóa
Tài liệu tham khảo
Bilal BO, Sambou V, Ndiaye PA et al (2010) Optimal design of a hybrid solar–wind-battery system using the minimization of the annualized cost system and the minimization of the loss of power supply probability (LPSP). Renew Energy 35(10):2388–2390
Chodkowska-Miszczuk J, Martinat S, Cowell R (2019) Community tensions, participation, and local development: Factors affecting the spatial embeddedness of anaerobic digestion in Poland and the Czech Republic. Energy Res Soc Sci 55:134–145
Feng X, Pang X, Zhang L (2020) On consistency and priority weights for interval probabilistic linguistic preference relations. Fuzzy Optimization Decis Mak 19(4):529–560
Freeman RE (2010) Strategic Management: A Stakeholder Approach. Cambridge University Press, Cambridge
Gao J, Xu Z, Liang Z et al (2019) Expected consistency-based emergency decision making with incomplete probabilistic linguistic preference relations. Knowl Based Syst 176:15–28
Gao J, Xu Z, Ren P et al (2019) An emergency decision making method based on the multiplicative consistency of probabilistic linguistic preference relations. Int J Mach Learn Cybern 10(7):1613–1629
Herrera F, Herrera-Viedma E, Verdegay JL (1996) A model of consensus in group decision making under linguistic assessments. Fuzzy Sets Syst 79(1):73–87
Hou F (2015) The prametric-based GDM selection procedure under linguistic assessments. In: IEEE International Conference on Fuzzy Systems, pp 1–8.
Hou F (2019) Triantaphyllou E. An iterative approach for achieving consensus when ranking a finite set of alternatives by a group of experts. Eur. J. Oper. Res 275(2):570–579
Hu G (2019) Exploration on utilization models for renewable energy of sichuan-tibet section in the jinsha river upper reaches. Huadian Technol 11(41):62–65
Liu A, Qiu H, Lu H et al (2019) A consensus model of probabilistic linguistic preference relations in group decision making based on feedback mechanism. IEEE Access 7:148231–148244
Liu PD, Li, Y, Zhang XH, Pedrycz W (2022) A Multiattribute group decision-making method with probabilistic linguistic information based on an adaptive consensus reaching model and evidential reasoning. IEEE Trans. Cybern. https://doi.org/10.1109/TCYB.2022.3165030
Liu PD, Zhang K, Wang P, Wang F (2022) A clustering-and maximum consensus-based model for social network large-scale group decision making with linguistic distribution. Inf Sci 602:269–297
Mercer N, Sabau G, Klinke A (2017) “Wind energy is not an issue for government”: Barriers to wind energy development in Newfoundland and Labrador, Canada. Energy Policy 108:673–683
Pang Q, Wang H, Xu Z (2016) Probabilistic linguistic term sets in multi-attribute group decision making. Inf Sci 369:128–143
Richards G, Noble B, Belcher K (2012) Barriers to renewable energy development: a case study of large-scale wind energy in Saskatchewan, Canada. Energy Policy 42:691–698
Song Y, Hu J (2019) Large-scale group decision making with multiple stakeholders based on probabilistic linguistic preference relation. Appl Soft Comput 80:712–722
Wang L, Singh C (2009) Multicriteria design of hybrid power generation systems based on a modified particle swarm optimization algorithm. IEEE Trans Energy Convers 24(1):163–172
Xu ZS (2004) EOWA and EOWG operators for aggregating linguistic labels based on linguistic preference relations. Int. J. Uncertain. Fuzziness Knowl. Based Syst 12(6): 791–810.
Zhang YX, Xu ZS, Liao HC (2017) A consensus process for group decision making with probabilistic linguistic preference relations. Inf Sci 414:260–275
Zhang YX, Xu ZS, Wang H et al (2016) Consistency-based risk assessment with probabilistic linguistic preference relation. Appl Soft Comput 49:817–833
Zhang YX, Xu ZS, Liao HC (2018) An ordinal consistency-based group decision making process with probabilistic linguistic preference relation. Inf Sci 467:179–198
Zhou H, Zhu N, Yang C et al (2018) Comprehensive performance evaluation method of hybrid renewable energy system based on exergy theory. Build Energy 46(8):53–58