北京测绘2026，Vol.40Issue(9)：1284-1289,6.DOI:10.19580/j.cnki.1007-3000.2025110043
模糊C均值优化的CBR城市扩张模型研究
Urban expansion simulation based on an FCM-optimized CBR model
摘要
Abstract
To enhance the accuracy and efficiency of urban expansion simulation,this study introduced the fuzzy C-means(FCM)algorithm into the traditional case-based reasoning(CBR)model to optimize the case base structure,formed an improved FCM-CBR urban expansion simulation model,and validated it with Jixi City as the study area.The results indi-cated that the improved model outperformed the traditional model in terms of overall accuracy(99.39%),Kappa coefficient(96.29%),and figure of merit(0.167).Its computational efficiency was improved by more than 68%,and the model's spatial recognition capability and operational performance were significantly enhanced.These findings confirm that the FCM-CBR model can achieve efficient simulation of the urban expansion process while balancing accuracy and efficiency.关键词
城市扩张/案例推理(CBR)/模糊C均值(FCM)算法/鸡西市Key words
urban expansion/case-based reasoning(CBR)/fuzzy C-means(FCM)/Jixi City分类
天文与地球科学引用本文复制引用
叶欣,李昊,黄涵斌,李玉涛,徐兆阳,吕利娜..模糊C均值优化的CBR城市扩张模型研究[J].北京测绘,2026,40(9):1284-1289,6.基金项目
黑龙江省哲学社会科学研究规划项目(23JLB096) （23JLB096）
