TY - JOUR
T1 - A novel consensus model with probabilistic linguistic preference relation for the utilization mode selection of renewable energy sources
AU - You, Xinli
AU - Hou, Fujun
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
PY - 2023/5
Y1 - 2023/5
N2 - The exploitation and utilization of renewable energy is an important issue that contributes to the sustainable development of the national economy. This paper deals with the utilization mode selection of renewable energy in a group decision making (GDM) problem with multiple stakeholders whose assessments are represented as the probabilistic linguistic preference relations (PLPRs). For GDM problems with PLPRs, two requirements should be satisfied before selection process: individual consistency and group consensus. In this regard, a premetric-based consensus measure of PLPRs is defined to describe the consensus level among stakeholders and a consensus improvement model is developed to modify the identified PLPRs while guaranteeing the consistency of the adjusted PLPRs. Then, the proposed method is applied to solve the utilization modes selection of multiple renewable energy in the Jinsha River upper reaches. Finally, the robustness and comparative analysis validate the good adaptability, high efficiency and better practical use values of this method.
AB - The exploitation and utilization of renewable energy is an important issue that contributes to the sustainable development of the national economy. This paper deals with the utilization mode selection of renewable energy in a group decision making (GDM) problem with multiple stakeholders whose assessments are represented as the probabilistic linguistic preference relations (PLPRs). For GDM problems with PLPRs, two requirements should be satisfied before selection process: individual consistency and group consensus. In this regard, a premetric-based consensus measure of PLPRs is defined to describe the consensus level among stakeholders and a consensus improvement model is developed to modify the identified PLPRs while guaranteeing the consistency of the adjusted PLPRs. Then, the proposed method is applied to solve the utilization modes selection of multiple renewable energy in the Jinsha River upper reaches. Finally, the robustness and comparative analysis validate the good adaptability, high efficiency and better practical use values of this method.
KW - Consensus improvement model
KW - Consistency
KW - Premetric-based consensus measure
KW - Probabilistic linguistic preference relation
KW - Utilization of renewable energy
UR - http://www.scopus.com/inward/record.url?scp=85147373145&partnerID=8YFLogxK
U2 - 10.1007/s13042-022-01733-1
DO - 10.1007/s13042-022-01733-1
M3 - Article
AN - SCOPUS:85147373145
SN - 1868-8071
VL - 14
SP - 1845
EP - 1861
JO - International Journal of Machine Learning and Cybernetics
JF - International Journal of Machine Learning and Cybernetics
IS - 5
ER -