#Features of Membership function- (Core, Support, Boundary), Types of Fuzzy sets 1. Convex fuzzy sets 2. Normal fuzzy sets 3. Sub normal fuzzy sets 4. non convex fuzzy sets 5. cross over point 6. Height of the fuzzy set
The trapezoid function used in the membership function of neural networks is typically not convex. It is a piecewise linear function with straight-line segments, which may include both increasing and decreasing slopes. Convex functions have the property that the line segment between any two points on the graph lies above the graph itself, but this is not necessarily the case for trapezoid-shaped membership functions.
