多粒度是近年来粗糙集领域研究的一个热点方向,而粒度约简是其中的一个核心问题。为了使得多粒度粗糙集能够用于处理连续型数据,引入模糊概念,构建了基于模糊等价关系的悲观多粒度模糊粗糙集模型,并进一步给出了粒度重要度的度量方法,设计一种基于启发式的粒度约简算法。以UCI(University of California Irvine)中3组数据集进行分析,实验结果表明所设计的算法能够在保持分类准确率不发生较大变化的情况下约去冗余的粒结构。
粮食是安天下,稳民心的物质基础,数字经济是中国高质量发展的根本要求。本文立足于江苏省数字经济与粮食产业发展实际情况,旨在通过提出通过数字经济赋能江苏省粮食产业高质量发展有效路径,解决当前粮食产业存在的数字化短板问题。本文根据高质量发展要求,建立数字经济和粮食产业高质量发展两套指标体系,运用熵权法对江苏省各地级市在数字经济与粮食产业高质量发展方面进行综合评分,并通过耦合模型,分析近十年内各地区两大系统的融合程度。为进一步验证所提出的路径假设,本文构建了固定效应模型和中介效应进行实证分析。研究结果表明,数字经济通过技术创新和物流供应链对粮食产业的高质量发展产生了显著的正向影响。Grain serves as the fundamental material basis for maintaining global stability and social harmony, while the digital economy represents a crucial driving force for high-quality development in China. Focusing on the development status of the digital economy and the grain industry in Jiangsu Province, this study aims to identify effective strategies to leverage the digital economy in enhancing the high-quality development of the grain industry and to address existing digitalization deficiencies within the sector. In line with high-quality development requirements, this paper constructs two indicator systems for assessing the digital economy and the high-quality development of the grain industry. It employs the entropy weight method to evaluate the development levels of the digital economy and the grain industry across various prefecture-level cities in Jiangsu Province. Additionally, a coupling model is utilized to analyze the integration degree of these two systems over the past decade. To validate the proposed pathways, fixed-effect models and mediation models are established for empirical analysis. The findings indicate that the digital economy significantly promotes the high-q
