摘要
粒计算是当前计算智能研究领域中模拟人类思维的新方法,它覆盖了所有有关粒的理论、方法和技术,是解决复杂问题的有效工具。粒概念是粒计算与形式概念分析相结合提出的一个重要概念。针对动态形式背景中粒概念的更新问题,介绍了面向对象粒概念,分析了面向对象粒概念的外延与内涵的变化规律,并在对象与属性逐步删减的环境下给出了更新面向对象粒概念的方法。最后,通过数值实验验证了该算法的有效性。
Granular computing(GrC)is a new method to simulate human's thinking in the field of computational intelligence research.GrC includes all theories,methods and technologies related to granularity,and it is an effective tool to solve complex problems.Granular concept is an important notion which is defined by combining granular computing and formal concept analysis.In order to update the granular concepts in a dynamic formal context,this paper introduces the notion of an object-oriented granular concept,analyzes how the extent and intent of the object-oriented granular concept are changed,and puts forward approaches to update the object-oriented granular concepts when objects and attributes are gradually removed from a formal context.Finally,some numerical experiments are conducted to show the effectiveness of the proposed algorithms.
作者
李粉宁
范敏
李金海
LI Fen-ning;FAN Min;LI Jin-hai(Data Science Research Center,Kunming University of Science and Technology,Kunming 650500,Yunnan,China;Faculty of Science,Kunming University of Science and Technology,Kunming 650500,Yunnan,China)
出处
《山东大学学报（理学版）》
CAS
CSCD
北大核心
2019年第4期105-115,共11页
Journal of Shandong University(Natural Science)
基金
国家自然科学基金资助项目(61562050
61305057
61573173)
关键词
概念格
粒计算
粒概念
动态更新
concept lattice
granular computing
granular concept
dynamic updating
