摘要
1前言
粗糙集理论(Rough Set,RS)是由波兰学者Z.Pawlak在1982年提出的一种刻画不完整性和不确定性的数学工具.粗糙集理论不仅为信息科学和认知科学提供了新的科学逻辑和研究方法,而且为智能信息处理提供了有效的处理技术.近二十来年,RS理论已发展成为人工智能领域中一个较新的学术热点,引起了学术界科研人员的广泛关注.
In this paper, the application of rough sets theory to multicriteria decision analysis is discussed . Firstly, some basic and crucial concepts of rough sets theory are introduced. Then, the fuzzy measure represents the payoff obtained by the coalition in a coopertive game; in a multicriteria decision problem, the fuzzy measure can be interpreted as the conjoint importance of the criteria from the coalition. Finally, the application of this method is illustrated with an example.
出处
《计算机科学》
CSCD
北大核心
2002年第7期84-86,共3页
Computer Science
基金
国家自然科学基金(6997206)
陕西省自然科学基金(2001SL08)
