摘要
应用粗糙集模型构建知识结构是一种有效的方法。文章介绍了基于模糊集值映射的变精度FT-粗糙集模型及其性质,通过模糊技能包含度的概念定义了由变精度FT-粗糙集模型上逆、下逆算子诱导的知识状态及知识结构,探讨了这一类知识结构的性质,最后提出了用该模型构建知识结构族的算法。
Applying the rough set model to construct knowledge structures is an effective method.This paper introduced the variable precision FT-rough set model based on fuzzy set-valued mappings and its properties.Through the concept of fuzzy skill inclusion degree,the knowledge state and structure induced by the upper and lower inverse operators of the variable precision FT-rough set model were defined.And the characteristics of this type of knowledge structure were further explored.Ultimately,the algorithms for constructing a family of knowledge structures using this model were proposed.
作者
杨竞菁
黄传义
李进金
YANG Jingjing;HUANG Chuanyi;LI Jinjin(School of Mathematics and Computer Science,Quanzhou Normal University,Quanzhou Fujian 362000,China;School of Mathematics and Statistics,Minnan Normal University,Zhangzhou Fujian 363000,China;Key Laboratory of New Technologies and Knowledge Engineering for Big Data Management in Fujian Province(Quanzhou Normal University),Quanzhou Fujian 362000,China;Fujian University Laboratory of Intelligent Computing and Information Processing(Quanzhou Normal University),Quanzhou Fujian 362000,China)
出处
《泉州师范学院学报》
2025年第2期34-44,共11页
Journal of Quanzhou Normal University
基金
国家自然科学基金项目(12271191)
福建省自然科学基金项目(2023J05175)。
关键词
变精度FT-粗糙集
上逆算子
下逆算子
知识结构
模糊技能映射
variable precision FT-rough set
upper inverse operator
lower inverse operator
knowledge structure
fuzzy skill map
