A convenient version of T-S fuzzy model with enhanced performance

摘要：

This paper proposes a methodology for automatically extracting a convenient version of T-S fuzzy models from data using a novel clustering technique, called variable string length Artificial Bee Colony (ABC) algorithm based fuzzy c-means clustering approach (VABC-FCM). In this methodology, the rule number of the T-S model is automatically determined by the VABC-FCM, without knowing the rule number as a prior. In addition, the fuzzy partition matrix of the VABCFCM is directly applied to identify the T-S fuzzy model, which brings convenience to the T-S fuzzy model construction. Experiments show that the proposed methodology presents a convenient version of T-S fuzzy model with enhanced performance.

关键词： T-S fuzzy model automatic fuzzy c-means Artificial Bee Colony variable length genotypes extracting

作者: Yu-fei Zhang Zhi-gang Su Pei-hong Wang

作者单位: School of energy & environment of Southeast University Nanjing, China

会议类型: 国际会议

会议名称: 2011 Eighth International Conference on Fuzzy System and Knowledge Discovery(第八届模糊系统与知识发现国际会议 FSKD 2011)

会议地点: 上海

会议语种:英文

页码: 1122-1127

在线出版日期: 2011-07-26（万方平台首次上网日期，不代表论文的发表时间）