Date grading is an important process for producers and affects the fruit quality evaluation and export market. However, the high costs, low speed and variation associated with manual sorting have been forcing the post harvest industry to apply mechanization and automation in sorting operations. As a step toward mechanized grading, in this research Mamdani fuzzy inference system was applied as a...

Efforts were exerted to enhance the live virtual machines (VMs) migration, including performance improvements of migration services cloud. The VMs empower cloud users store relevant data and resources. However, utilization servers has increased significantly because virtualization computer systems, leading a rise in power consumption storage requirements by centers, thereby running costs. Data ...

The original idea of reasoning and control within fuzzy rule bases was proposed by Zadeh [1], and was called the Compositional Rule of Inference (CRI) and had the disadvantage of running directly in the k-dimensional input space (where k is the number of variables) while being able however to describe multi-dimensional membership function distributions of arbitrary shape. Its modified version, ...

 Edge Detection is an important task for sharpening the boundary of images to detect the region of interest. This paper applies a linear cellular automata rules and a Mamdani Fuzzy inference model for edge detection in both monochromatic and the RGB images. In the uniform cellular automata a transition matrix has been developed for edge detection. The Results have been compared to the ...

In this paper a rewiev and a critical analysis of various, soft computing based, approximate reasoning methods is given, studied in the Phd thesis of the author. Since Mamdani first implemented a fuzzy logic controller it has also gone trough substantial theoretical developments and serious discussions about place of this method in theory of computational rule of inference. The paper gives a re...

In this paper, a fuzzy controller is designed for stabilization of the Lorenz chaotic equations. A simple Mamdani inference method is used for this purpose. This method is very simple and applicable for complex chaotic systems and it can be implemented easily. The stability of close loop system is investigated by the Lyapunov stabilization criterion. A Lyapunov function is introduced and the gl...

Hybrid fuzzy expert systems are one of the most practical intelligent paradigm of soft computing techniques with the high potential for managing uncertainty associated to the medical diagnosis. The potential of genetic algorithm (GA) by inspiring from natural evolution as a learning and optimization technique has been vastly concentrated for improving fuzzy expert systems. In this paper, the GA...