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粗糙模糊集的格论性质 被引量:1

Lattice Theory Properties of Fuzzy Rough Sets
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摘要 由Pawlak于1982年提出来的粗糙集(rough set)理论是一种处理不完全和不充分信息的数学工具,是传统集合论的拓展,近年来由于在机器学习、知识发现、模式识别、决策支持等领域获得成功的应用引起广大研究人员的关注,经过近20年来计算机科学领域和数学领域的学者的努力,粗糙集理论和应用都得到迅速的发展. Let U denote a finite and nonempty set called the universe, and P(U) a power set. Suppose R is an equivalence relation on U. Consider the equivalence relation ≈(X≈<=>YRX= RY and RX = RY, X,Y,∈(U)) on F(U), the quotient set denoted by F(U)/#. In this paper we show that F(U)/≈ is a distributive lattice.
作者 刘贵龙
出处 《计算机科学》 CSCD 北大核心 2003年第9期83-84,共2页 Computer Science
基金 教育部科学技术重点项目资助
关键词 粗糙模糊集 格论性质 粗糙集 模糊集 计算机 Rough fuzzy set, Distributive lattice. Lower approximation, Upper approximation
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参考文献4

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同被引文献10

  • 1刘贵龙.模糊近似空间上的粗糙模糊集的公理系统[J].计算机学报,2004,27(9):1187-1191. 被引量:18
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