[1]胡星辰,李妍,陈紫健,等.粒度模糊规则建模方法研究综述[J].智能系统学报,2024,19(1):22-35.[doi:10.11992/tis.202306034]
HU Xingchen,LI Yan,CHEN Zijian,et al.Review of the research of granular fuzzy rule-based modeling[J].CAAI Transactions on Intelligent Systems,2024,19(1):22-35.[doi:10.11992/tis.202306034]
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HU Xingchen,LI Yan,CHEN Zijian,et al.Review of the research of granular fuzzy rule-based modeling[J].CAAI Transactions on Intelligent Systems,2024,19(1):22-35.[doi:10.11992/tis.202306034]
粒度模糊规则建模方法研究综述
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
19
期数:
2024年第1期
页码:
22-35
栏目:
综述
出版日期:
2024-01-05
- Title:
- Review of the research of granular fuzzy rule-based modeling
- Keywords:
- granular computing; information granule; fuzzy rule; fuzzy C-means clustering; granulation and degranulation; granularity; prototype; fuzzy set
- 分类号:
- TP182
- 文献标志码:
- 2023-11-24
- 摘要:
- 本文旨在梳理粒度模糊规则模型中的主要研究及构建方法，并且进行系统分析与总结。粒计算是一种能模拟人类思维方式和求解复杂问题的新兴理论体系，以此为基础的粒度模型为复杂非线性系统的描述和问题求解探索了新的方向。粒度模糊规则模型将信息粒融入现有的模糊规则建模方法中，进行粒度级别的系统建模，以实现更高层次的数据分析与推理。本文简要介绍模糊聚类和模糊规则模型的基础知识；归纳了信息粒的构建方法，并讨论了相应的评估方法；总结了典型的粒度模糊规则模型的设计架构和优化方法。
- Abstract:
- The purpose of this paper is to explore the main research and construction method for granular fuzzy rule model, and make a systematic analysis and summary of it. Granular computing is an emerging theoretical system that simulates patterns of human thinking and solves complex problems, and the granular model based on it explores a new direction for the description and problem solving of complex nonlinear system. Among which the granular fuzzy rule-based model incorporates information granule into existing fuzzy rule-based modeling methods to achieve granular-level system modeling for data analysis and inference at a higher level. This paper first briefly introduces the basics of fuzzy clustering and fuzzy rule-based models, next summarizes the construction method of information granules and discusses corresponding evaluation methods. Further, the design architecture and optimization method are summarized.
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备注/Memo
收稿日期:2023-06-15。
基金项目:国家自然科学基金项目（62376279，61906204，72001032）
作者简介:胡星辰，副教授，博士，主要研究方向为数据挖掘、计算智能。主持国家自然科学基金青年基金1项。发表学术论文20余篇。E-mail：xhu4@ualberta.ca;李妍，博士研究生，主要研究方向为数据挖掘、计算智能。E-mail：liyan18@nudt.edu.cn;刘忠，教授，博士生导师，国家新一代人工智能战略咨询委员会和重大项目专家组专家，国务院学科评议组成员，主要研究方向为智能系统工程。获国家科技进步二等奖、吴文俊人工智能科技进步一等奖等，授权发明专利 30 余项。发表学术论文 200 余篇，出版专著 5 部。E-mail：liuzhong@nudt.edu.n
通讯作者:胡星辰. E-mail：xhu4@ualberta.ca
更新日期/Last Update:
1900-01-01