基于粗糙集理论的数据情报侦查决策研究
Decision-making for Investigation of Data Intelligence Based on Rough Set Theory
薛亚龙 1刘梓泞 1王质淳2
作者信息
- 1. 宁夏警官职业学院,宁夏 银川 750021
- 2. 南京师范大学法学院,江苏 南京 210023
- 折叠
摘要
鉴于在传统数据情报侦查决策中存在数据决策生命周期性短、运算挖掘实时性适应难、决策冗余性和离群性较多等突出问题,引入基于粗糙集理论的数据情报侦查决策研究范式.以粗糙集理论数据情报侦查决策的内涵与属性为研究逻辑起点,提出粗糙集理论数据情报侦查决策的评价指标,构建粗糙集理论数据情报侦查决策的挖掘流程,探讨粗糙集理论数据情报侦查决策的应用方法.这不仅能够提升数据情报侦查决策关联规则的精确性,还能够强化数据情报侦查决策运算挖掘的鲁棒性和容错性,增强数据情报侦查决策运用的正向同配属性关系,从而实现粗糙集理论数据情报侦查决策的应然价值效果.
Abstract
In view of the prominent problems in traditional decision-making for investigation of data intelligence,such as the short life cycle of data-related decision-making,difficult real-time adaptation of operation mining,redundancy and outlier in decision-making,this article introduces a research paradigm based on rough set theory.Taking the connotation and attributes of the decision-making for investigation of data intelligence based on rough set theory as the logical starting point,we propose an evaluation index system,try to construct data mining process and discuss the methods applied to the decision-making for investigation of data investigation based on rough set theory.These endeavors are expected to improve the accuracy of rules relevant to decision-making for investigation of data intelligence,strengthen the robustness and fault tolerance of the operation mining in decision-making for investigation of data intelligence,enhance the positive homology relationship of such decision-making,thereby achieving anticipated value effect of using rough set theory on decision-making for investigation of data intelligence.
关键词
粗糙集理论/数据犯罪情势/情报侦查决策Key words
rough set theory/situation of data-related crimes/decision-making for investigation of intelligence引用本文复制引用
基金项目
教育部人文社会科学研究规划基金(20YJC820028)
出版年
2024
NETL
NSTL
万方数据