Collective decision-making in open environment: concepts, challenges, and leading technologies

Autor: Xueqi CHENG, Bingbing XU, Qi CAO, Shenghua LIU, Juan CHEN, Lei LIN, Huawei SHEN
Jazyk: čínština
Rok vydání: 2022
Předmět:
Zdroj: 智能科学与技术学报, Vol 4, Pp 45-54 (2022)
Druh dokumentu: article
ISSN: 2096-6652
DOI: 10.11959/j.issn.2096-6652.202219
Popis: Research on collective decision-making is based on new decision-making theories and their methods are driven by group participation, human-computer interaction, and big data, to realize complex problem solving and intelligent decision-making in an open environment.However, the open environment is of high openness, complex interaction, and emerging behaviors, making collective decision-making face the challenges of difficult incentive mechanism design, uncontrollable decision-making individuals, diverse decision-making environments, and highly complex decosion-making information.Based on the era background of collective decision-making in an open environment, a new decision-making paradigm was proposed, its conceptual connotation, main challenges, and leading technologies for effective implementation of collective decision-making were sorted out.The successful cases of collective decision-making were analyzed, in order to support the application of new decision-making paradigms in the fields of economy, medical care, and people’s livelihood, and to promote progress and changes in the corresponding fields.
Databáze: Directory of Open Access Journals