In this paper a novel method for designing hierarchical fuzzy logic Systems are investigated. A new method using genetic algorithms for design of hierarchical fuzzy logic systems are proposed. The proposed method is then applied to financial modelling and prediction. A hierarchical fuzzy logic system is developed to predict quarterly interest rates in Australia. The new method proposed determin...

This paper proposes Fuzzy Logic Based STATCOM. It regulates the voltage at the point of common coupling (PCC) by injecting reactive power. This device also plays a vital role in enhancing stability for small and large transient disturbances in power system. Simulations using MATLAB / SIMULINK are carried out to verify the performance of STATCOM using fuzzy controller. The result shows that fuzz...

From a very broad point of view a Fuzzy System (FS) is any Fuzzy Logic – Based System, where Fuzzy Logic can be used either as the basis for the representation of various forms of knowledge systems, or to model the interactions and relationships among the system variables. Genetic Algorithms (GAs) are general purpose research algorithms which use principles inspired by natural genetics to evolv...

Fuzzy Logic, introduced by Zadeh along with his introduction of fuzzy sets, is a continuous multi-valued logic system. Hence, it is a generalization of the classical logic and the classical discrete multi-valued logic (e.g. Łukasiewicz’ three/many-valued logic). Throughout the years Zadeh and other researches have introduced extensions to the theory of fuzzy setts and fuzzy logic. Notable exten...

Load balancing in distributed computer systems is the process of redistributing the work load among processors in the system to improve system performance. Most of previous research in using fuzzy logic for the purpose of load balancing has only concentrated in utilizing fuzzy logic concepts in describing processors load and tasks execution length. The responsibility of the fuzzy-based load bal...

Fuzzy logic has become an important tool for number of different applications ranging from the control of engineering system to artificial intelligence. Practical applications of fuzzy logic pose a unique set of problems. The design of systems, which apply fuzzy logic to make use of human knowledge and experience, is a daunting task without facing engineering problems of real world systems. In ...

Fuzzy logic techniques are efficient in solving complex, ill-defined problems that are characterized by uncertainty of environment and fuzziness of information. Fuzzy logic allows handling uncertain and imprecise knowledge and provides a powerful framework for reasoning. Fuzzy reasoning models are relevant to a wide variety of subject areas such as engineering, economics, psychology, sociology,...

The main objective of this paper is to study the feasibility to implement fuzzy logic control into an energetic hybrid system and to optimize the membership functions of the fuzzy logic controller for the PV-PEMFC hybrid system using genetic algorithm (GA). The paper deals with a fuzzy logic control strategy objective to produce electrical energy according to the demand, prone to the constraint...