山西大学学报（自然科学版）2024，Vol.47Issue(4)：737-750,14.DOI:10.13451/j.sxu.ns.2023066
基于证据理论的多粒度决策背景最优粒度选取方法
Optimal Granularity Selection in Multi-granularity Decision Context Based on Evidence Theory
摘要
Abstract
Multi-granularity formal concept analysis is an important tool for data mining and knowledge discovery.In this paper,we study the method of selecting the optimal granularity combination of attributes in multi-granularity formal decision context under covering multi-granularity.Firstly,based on the covering granularity method of attributes,multi-granularity formal context and multi-granularity formal decision context are defined,and rough approximation and belief structure in multi-granularity formal con-text are also defined.Secondly,based on granule consistency,the selection method of optimal granularity combination of attributes in granule consistent multi-granularity formal decision context is studied,and it is proved that the optimal granularity combination of attributes can be characterized by the belief function in evidence theory.Finally,based on rough set theory and evidence theory,the selection method of optimal granularity combination of attributes in granule consistent multi-granularity formal decision context is given.关键词
形式概念分析/多粒度/最优粒度选取/证据理论/粗糙集Key words
formal concept analysis/multi-granularity/optimal granularity selection/evidence theory/rough set分类
信息技术与安全科学引用本文复制引用
王太滨,李德玉,翟岩慧..基于证据理论的多粒度决策背景最优粒度选取方法[J].山西大学学报（自然科学版）,2024,47(4):737-750,14.基金项目
国家自然科学基金(61972238 （）
62072294) （）
