Many researchers have been interested in approximation properties of fuzzy logic systems (FLS), which like neural networks can be seen as approximation schemes. Almost all of them tackled Mamdani fuzzy model, which was shown to have many interesting features. This paper aims to present alternatives for traditional inference mechanisms and CRI method. The most attractive advantage of these new m...

Content based image Retrieval (CBIR) has been an active research field since the past two decades. In contrast to a traditional system, in which the images are retrieved based on the keywords, CBIR system retrieves the images based on the visual content. In this paper, we start with the introduction to a simple CBIR system and proceed to review few of the techniques used to develop CBIR system....

abstract. different groups of employees are managed differently and may require different leadership styles based on human resource characteristics, including uniqueness and strategic value of human capital. choosing concurrent leadership styles is one of the most important phases of the strategic human resource management (shrm), which attracts increasing attentions of many researchers. litera...

--This paper presents the application of a fuzzy Logic controlled to improve stability of power system. The system in this study is a two-area electrical interconnected power system. Also, in this paper, the effect of a conventional controller PID, and a fuzzy logic gain scheduling PID (FGPID) controller on power system stability are compared. The performance of these controllers in First, sett...

Many types of controllers were applied on the continuous stirred tank reactor (CSTR) unit to control the temperature. In this research paper, Proportional-Integral-Derivative (PID) controller are compared with Fuzzy Logic controller for temperature control of CSTR. The control system for temperature non-isothermal of a CSTR will produce a stable response curve to its set point temperature. A ma...

Laser Forming process as a non-contact thermal forming process is widely used to forming and bending of metallic and non-metallic sheets. In this process, according to laser irradiation along a specific path, sheet is bent. One of the most important output parameters in laser forming is bending angle that depends on process parameters such as physical and mechanical properties of materials, las...

Because of the low maintenance and robustness induction motors have many applications in the industries. The speed control of induction motor is more important to achieve maximum torque and efficiency. Various speed control techniques like, Direct Torque Control, Sensorless Vector Control and Field Oriented Control are discussed in this paper. Soft computing technique – Fuzzy logic is applied i...

In quality control of freeze-dried durian, crispiness is a key quality index of the product. Generally, crispy testing has to be done by a destructive method. A nondestructive testing of the crispiness is required because the samples can be reused for other kinds of testing. This paper proposed a crispiness classification method of freeze-dried durians using fuzzy logic for decision making. The...

Fault diagnosis systems (FDSs) are tools designed to detect, isolate, identify, and, possibly, mitigate the occurrence of faults affecting complex systems. This paper aims to use fuzzy logic fault diagnosis for clustering the faults. Fuzzy logic system has an advantage of inbuilt cluster identification which doesn’t supported by any other FDSs. By this inbuilt clustering the identification of f...

We describe in this paper a new hybrid approach for optimization combining Particle Swarm Optimization (PSO) and Genetic Algorithms (GAs) using Fuzzy Logic to integrate the results. The new evolutionary method combines the advantages of PSO and GA to give us an improved FPSO+FGA hybrid method. Fuzzy Logic is used to combine the results of the PSO and GA in the best way possible. The new hybrid ...