Robotics & Machine Learning Daily News2024,Issue(Dec.5) :70-70.

Huazhong University of Science and Technology Researchers Detail New Studies and Findings in the Area of Intelligent Systems (A decentralized feedback-based con sensus model considering the consistency maintenance and readability of …)

华中科技大学的研究人员详细介绍了智能系统领域的新研究和发现(一种考虑一致性维护和可读性的基于分散反馈的感知模型…)

Robotics & Machine Learning Daily News2024,Issue(Dec.5) :70-70.

Huazhong University of Science and Technology Researchers Detail New Studies and Findings in the Area of Intelligent Systems (A decentralized feedback-based con sensus model considering the consistency maintenance and readability of …)

华中科技大学的研究人员详细介绍了智能系统领域的新研究和发现(一种考虑一致性维护和可读性的基于分散反馈的感知模型…)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-调查人员在Telligent Systems上发布新报告。根据消息来源来自华中科技大学的NewsRx记者的研究表明,“与”大规模群体决策的丰富(LSGDM)方法,分散的缺点达到工艺(CRP)已显示出许多优点。然而,当概率语言在分散型CRP中采用了偏好关系(PLPR),其一致性和可读性很差维持。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on in telligent systems. According to news originatingfrom Huazhong University of Sci ence and Technology by NewsRx correspondents, research stated, “Withthe enrichm ent of large-scale group decision-making (LSGDM) methods, the decentralized cons ensusreaching process (CRP) has demonstrated many advantages. However, when the probabilistic linguisticpreference relation (PLPR) is utilized in the decentra lized CRP, its consistency and readability are hardlyto maintain.”

Key words

Huazhong University of Science and Techn ology/Intelligent Systems/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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