A rule-based development of incremental models

作者：Li, Jinbo; Pedrycz, Witold^*; Wang, Xianmin

来源：International Journal of Approximate Reasoning, 2015, 64: 20-38.

DOI：10.1016/j.ijar.2015.06.007

• Incremental model
• Rule-based structures
• Augmented clustering
• Linear models

In the study, we propose a concept of incremental fuzzy models in which fuzzy rules are aimed at compensating discrepancies resulting because of the use of a certain global yet simple model of general nature (such as e.g., a constant or linear regression). The structure of input data and error discovered through fuzzy clustering is captured in the form of a collection of fuzzy clusters, which helps eliminate (compensate) error produced by the global model. We discuss a detailed architecture of the proposed rule-based model and present its design based on an augmented version of Fuzzy C-Means (FCM). An extended suite of experimental studies offering some comparative analysis is covered as well.

• 出版日期2015-9
• 单位中国地质大学（北京）