@misc{10481/109382,
year = {2025},
month = {5},
url = {https://hdl.handle.net/10481/109382},
abstract = {In the meteorological disaster emergency decision-making problem, the quantitative collection of decision information is complex and uncertain, and the mutual interference between decision makers affects group decision-making. To solve this problem, a quantum group consensus model based on linguistic Z-number is proposed. Firstly, the model uses linguistic Z-number to represent the evaluation information of decision makers, and provides feedback matrix to assist decision adjustment. In addition, the model also considers the effect of confidence on the efficiency of group consensus adjustment, and adjusts the weights of decision makers according to the distance between the final decision matrix and the group consensus matrix. Secondly, a maximum Deng entropy model is constructed to determine the attributes' weights in uncertain environments. On this basis, a quantum-like Bayesian network is constructed, the interference angle is measured by using Deng entropy, and the quantum probabilities of alternatives are calculated. Finally, the applicability and superiority of the model are verified through meteorological disaster case. Sensitivity and comparative analysis confirm the effectiveness of the model under different conditions. The results show that the model can improve group decision consensus under different confidence levels and multi-dimensional matrix input, and has strong robustness and wide applicability.},
organization = {Social Science Fund Project of Jiangsu Province (23GLB006)},
organization = {National Natural Science Foundation of China (72371137,71801085)},
organization = {Jiangsu University Philosophy and Social Science project (2022SJYB0187)},
organization = {National Scholarship Foundation of China (202209045002)},
organization = {MICIU/AEI/10.13039/501100011033 and by ERDF/EU, PID2022- 139297OB-I00},
organization = {Regional Ministry of University, Research and Innovation, C-ING-165-UGR2},
organization = {European Union under the Andalusia ERDF Programme 2021-2027},
publisher = {Elsevier},
keywords = {Multi-attribute group decision making},
keywords = {Linguistic Z-numbers},
keywords = {Group consensus process},
title = {Quantum group consensus model based on linguistic Z-numbers and its application to meteorological disaster emergency},
doi = {10.1016/j.ins.2024.121777},
author = {Xu, Yizhao and Yan, Shuli and Pérez Gálvez, Ignacio Javier and Cabrerizo Lorite, Francisco Javier},
}