Multi-Criteria Intelligent Decision Making Approaches and Applications

多准则智能决策方法及应用

• 批准号: RGPIN-2017-06034
• 负责人: Yao, JingTao
• 金额: $ 1.68万
• 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: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=635006
• 关键词: Multi; Criteria; Intelligent; Decision; Making

Two major challenges remain in many decision-making problems, too many choices and contradictive criteria. It gets worse with large, complex, unstructured, and incomplete data. The proposed research program aims to utilize machine learning methods such as rough sets, game theory and granular computing for complex and critical decision makings. In particular, I will examine ternary decision-makings when multi-criteria are involved. Applications will be drawn from intrusion detection, financial prediction, and cancer diagnoses.

许多决策问题仍然存在两大挑战：选择过多和标准相互矛盾。对于大量、复杂、非结构化和不完整的数据，情况会变得更糟。拟议的研究计划旨在利用粗糙集、博弈论和粒度计算等机器学习方法来进行复杂且关键的决策。特别是，我将研究涉及多标准时的三元决策。应用程序将来自入侵检测、金融预测和癌症诊断。