Generating flexible convex hyper-polygon validity regions via sigmoid-based membership functions in TS modeling

- A new type of membership function in TS modeling is introduced which can generate flexible convex hyper-polygon validity regions.
- Based on the introduced membership function, two types of TS models are proposed whose consequent parts of the rules are linear and quadratic functions.
- An incremental learning algorithm is suggested to identify the proposed TS models.
- Obtained results demonstrate high accuracy and low redundancy of the suggested TS fuzzy models.