A Multi-agent Decision-Theoretic Rough Set Model

被引：0
|
作者：
Yang, Xiaoping [1 ]
Yao, Jingtao [2 ]
机构：
[1] Zhejiang Ocean Univ, Sch Math Phys & Informat Sci, Zhoushan 316004, Zhejiang, Peoples R China
[2] Univ Regina, Dept Comp Sci, Saskatoon, SK S4S 0A2, Canada
来源：
ROUGH SET AND KNOWLEDGE TECHNOLOGY (RSKT) | 2010年 / 6401卷
基金：
中国国家自然科学基金; 加拿大自然科学与工程研究理事会;
关键词：
Decision-theoretic rough sets; probabilistic rough sets; multi-agent decision making;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The decision-theoretic rough set (DTRS) model considers cost and risk factors when classifying an equivalence class into a particular region. Using DTRS, informative decisions with rough rules can be made. The current research has a focus on single agent decision makings. We propose a multi-agent DTRS model in this paper. This model seeks synthesized or consensus decision when there are multiple sets of decision preferences and criteria adopted by different agents. A set of rough decision rules that are satisfied by multiple agents can be derived from the multi-agent decision-theoretic rough set model.
引用
收藏
页码：711 / 718
页数：8
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