Machine Learning Methods for Multi-criteria Decision Making

多标准决策的机器学习方法

• 批准号: 250377-2012
• 负责人: Yao, JingTao
• 金额: $ 1.02万
• 依托单位: University of Regina
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2013
• 资助国家: 加拿大
• 起止时间: 2013-01-01 至 2014-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=525040
• 关键词: Machine; Learning; Methods; Multi; criteria

Multi-criteria decision making remains an active and challenging research topic. The proposed research program aims to utilize machine learning methods, such as rough sets and granular computing, in rule induction for complex decision making. In particular, I will examine three-way decision making, especially when multi-criteria and multi-agent are involved.

多标准决策仍然是一个活跃且具有挑战性的研究课题。 拟议的研究计划旨在利用机器学习方法，例如粗糙集和粒度计算，进行复杂决策的规则归纳。 特别是，我将研究三向决策，特别是当涉及多标准和多代理时。