智能系统学报2024，Vol.19Issue(6)：1528-1538,11.DOI:10.11992/tis.202306026
基于划分序乘积空间的多尺度决策模型
Multi-scale decision model based on partition order product space
摘要
Abstract
Knowledge acquisition in multiscale decision systems is an important research problem.Existing studies on multiscale decision systems only typically address multiple scales of condition and decision attributes,but they often overlook scenarios where condition attributes have multiple views.As a new granular computing model,the partition or-der product space simultaneously considers multiple levels and views.Therefore,this paper uses the partition order product space to describe and solve multiscale decision problems and establishes a multiscale decision model based on this space,which is referred to as the partition order multiscale decision system.First,the study proposes a partition or-der multiscale decision system based on the partition order product space,which can describe multiscale decision prob-lems from multiple views.Second,two different lattice structures within the problem solution space of the partition or-der multiscale decision system are provided.Third,two optimal problem-solving level selection algorithms are intro-duced for the two different lattice structures to address the multiscale decision problem from multiple views.Finally,the effectiveness of the proposed model and algorithms is verified through experiments.关键词
粒计算/粗糙集/多尺度决策系统/划分序乘积空间/多层次/多视角/格结构/最优问题求解层Key words
granular computing/rough set/multi-scale decision system/partition order product space/multilevel/mul-tiview/lattice structure/optimal problem solving level分类
信息技术与安全科学引用本文复制引用
徐怡,张杰..基于划分序乘积空间的多尺度决策模型[J].智能系统学报,2024,19(6):1528-1538,11.基金项目
国家自然科学基金项目(62076002) （62076002）
国家自然科学青年基金项目(61402005) （61402005）
安徽省自然科学面上基金项目(2008085MF194). （2008085MF194）
