Hassen Taher Dorrah

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The paper is directed towards solving the unconstrained geometric programming problem in fully fuzzy environment. The approach is based on using the arithmetic fuzzy logic based representation. In this representation, each parameter has a pair of value and fuzzy level. The fuzzy level is considered as an indication of the uncertainty in the corresponding(More)
This paper is directed towards developing two new fuzzy logic-based representations for systems modelling and optimization using the notion of the normalized fuzzy matrices. The first is the arithmetic type based on dual cell representation, expressed by replacing each parameter with a pair of parentheses, the first is the actual value and the second is(More)
The foundation of new Fuzzy Logic Level Arithmetic and Visual representations, normalized fuzzy matrices, and the principle of fuzzy logic-based level tracking were developed by Gabr and Dorrah for systems modelling and optimization during all stages of formulation and solution. This new concept has an unlimited scope of generalizations and extensions to(More)
This paper is directed towards developing a new fuzzy-logic based ACO algorithm. The proposed algorithm takes into consideration the uncertainties that can be found in both the heuristic and the pheromone factors. This is achieved by representing the parameters of the problem and the pheromone trails as a pair of value and fuzzy level. The fuzzy level is(More)
This paper presents the development of fuzzy logic representations using the notion of normalized fuzzy matrices developed by Gabr and Dorrah [1–4] for solving quadratic programming problems in a fully fuzzy environment. The first is the arithmetic type based on dual cell representation, expressed by replacing each parameter with a pair of(More)
This paper presents a new formulation of multi-objective linear optimization using the fuzzy logic-based arithmetic (or visual) representations developed originally by Gabr and Dorrah [1–3]. A modified dual simplex algorithm is proposed as part of the formulation implementation procedure operating in a fully fuzzy environment. Moreover, forward and(More)
In the two-coupled distillation column process, keeping temperatures of the trays within a specified range around their steady state values assures the specifications for top and bottom product purity. Normally, the control engineers decouple the process into a group of independent loops and assign one conventional PID controller to each loop. Tuning of(More)
This paper is directed towards the development of the Arithmetic and Visual Logic-based representations for classical nonlinear systems modeling and optimization. The concept was originally proposed by Gabr and Dorrah for linear system using the notion of the normalized fuzzy matrices. In this concept, the arithmetic fuzzy logic-based representation type is(More)
This paper presents a fuzzy sliding mode controller used for switched reluctance motor speed regulation. Based on the technique of variable structure control (VSC) with sliding mode, we can construct the controller that possesses the merits of both fuzzy controller and variable structure controller. It is called a " fuzzy sliding mode controller " (FSMC).(More)
This paper provides a new technique of multi-sensor data fusion to achieve an optimal spatial design and power operation of integrated Renewable Energy Grids (REG). This new approach depends on making a sensor data fusion system depending on the spatial concepts for measuring the important climate parameters, which have a great effect on the performance of(More)