We are developing a prototype intelligent intrusion detection system (IIDS) to demonstrate the effectiveness of data mining techniques that utilize fuzzy logic and genetic algorithms. This system combines both anomaly based intrusion detection using fuzzy data mining techniques and misuse detection using traditional rule-based expert system techniques. The anomaly-based components are developed...

The evaluation of the safety level in concrete structures should be done considering the stochastic behavior of main involved parameters not only in ultimate conditions but also in serviceability and durability ones. In fact, particularly in concrete structures, the large variability of fundamental mechanical parameters, may give rise to important deviations from the behavior expected if a dete...

This paper presents an analysis, by a combination of dynamic systems and fuzzy logic, of the work environment of human factor. This environment contains a set of factors (variables) that influence human behavior in the context of industrial safety. The definition of these behavioral factors is made from a prior synthesis of the main factors that influence the safe behavior of human factor. The ...

The ever-increasing amounts of data stored in databases make it more and more difficult to get information summarized and provided in a timely manner to the user. In order to achieve this goal, a fuzzy trigger model is proposed. The model is based on the concept of a fuzzy event. Fuzzy events are integrated with fuzzy conditionactions using a new membership function modification technique calle...

In this paper we are presenting an intelligent method for controlling population size in evolutionary algorithms. The method uses Mediative Fuzzy Logic for modeling knowledge from experts about what should be the behavior of population size through generations based on the fitness variance and the number of generations that the algorithm is being stuck. Since, it is common that this kind of kno...

This paper present a type-2 fuzzy logic system can be applied to a mobile robot which is a project associates with using eight ultrasonic sensors as distance sensors. The inputs are obtained from ultrasonic sensors mounted. These inputs are sent to a microchip PIC 16F84 microcontroller onboard the robot, which analysis the data and provides the necessary control signal. The behavior based contr...

This paper presents a novel evolutionary tuning method that adapts the knowledge base of a fuzzy logic controller. The evolution strategy adopted in this paper employs a variable size genome, which it adapts to the complexity of the control problem. The incremental learning scheme starts with a single control rule, which is re ned through superposition of additional rules, variables and fuzzy s...

This paper is focused on the intelligent control of vehicles with nonholonomic constraints. A new method to compute a fuzzy perception of the environment is presented, dealing with the uncertainties and imprecisions from the sensorial system and taking into account nonholonomic constraints of the vehicle. This fuzzy perception is used, both in the design of each reactive behavior and solving th...

this paper presents a delay compensator fuzzy control for trajectory tracking of omni-directional mobile robots. fuzzy logic control (flc) of the robots is a suitable strategy for dealing with model uncertainties, nonlinearities and disturbances.  on the other hand, in many robotic applications such as mobile robots, delay phenomenon is able to substantially deteriorate the behavior of system's...