@misc{10481/109376,
year = {2025},
month = {7},
url = {https://hdl.handle.net/10481/109376},
abstract = {In opinion dynamics (OODs), the DeGroot and Hegselmann–Krause (HK) bounded confidence models are foundational tools for studying information evolution. However, both models have unavoidable limitations, particularly in group decision-making scenarios. This article proposes a novel OODs model that integrates the strengths of both the DeGroot and HK models within a unified framework. The proposed model balances ultimate consensus and diversity without requiring a subjectively chosen threshold by introducing an improved hyperbolic tangent function. Adjusting the function’s parameter enables a smooth transition between the DeGroot and HK models, enhancing adaptability across various scenarios. To determine the weights of agents during information evolution, we develop a calculation method based on a distance measure. Furthermore, the model’s properties are thoroughly analyzed through theoretical derivations. The model is extended to the linguistic environment, aligning with natural expression habits in real-world contexts. Comprehensive examples and comparisons validate the proposed model’s effectiveness, demonstrating its superiority and robustness.},
organization = {MICIU/AEI/10.13039/501100011033, ERDF/EU, PID2022-139297OB-I00},
organization = {Consejería de Universidad, Investigación e Innovación and by ERDF Andalusia Program 2021-2027, Grant C-ING-165-UGR23},
publisher = {IEEE},
keywords = {Information evolution},
keywords = {Group decision-making},
keywords = {Linguistic environment},
title = {A Group Decision-Making Model Integrating Information Consensus and Polarity},
doi = {10.1109/TSMC.2025.3585186},
author = {Quianlei, Jia and Cabrerizo Lorite, Francisco Javier and Pérez Gálvez, Ignacio Javier and Herrera Viedma, Enrique},
}