Fuzzy systems theory and its applications
Fuzzy systems theory and its applications
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
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We proposed [9] an original membership function building for fuzzy pattern recognition. This method uses only one shape feature - the compactness - leading to a simple and fast determination of membership function. We improved this method adding the possibility of control for the slopes of functions and unifying their representation [10,11]. We implemented this method in machine vision area, where for the robot's eye it must process a continues image data series in real time. In the reason to reduce the need of preliminary human inspection, we proposed to add a new feature - the elongatedness - to be used in conjunction with the membership function built from compactness [12]. In this paper we propose a unified membership function, built by using the compactness and the elongatedness features of shapes together.