In this paper we propose a method that implements student diagnosis in the context of the Adaptive Hypermedia Educational System INSPIRE INtelligent System for Personalized Instruction in a Remote Environment. The method explores ideas from the fields of fuzzy logic and multicriteria decisionmaking in order to deal with uncertainty and incorporate in the system a more complete and accurate desc...

This paper deals with the application of fuzzy logic to one of the navigational components of an indoor autonomous system implemented by means of intelligent agents. The most well known arguments supporting fuzzy control are the ability to cope with imprecise information in heuristic rule based knowledge and sensor measurements. Autonomous navigation based on ultrasonic sensors can provide an i...

One of the ways to overcome traffic problems in large cities is through the development of an intelligent monitoring and control of traffic lights system. This paper addresses the design and implementation of an intelligent traffic lights controller based on fuzzy logic technology. A software has been developed to simulate the situation of an isolated traffic junction based on this technology. ...

This paper presents hybrid fuzzy logic and neural network algorithm to solve credit risk management problem. Credit risk is the risk of loss due to a debtor’s non-payment of a loan or other line of credit. A method of evaluating the credit worthiness of a customer is complex and non-linear due to the diverse combinations of risk involve. To address this problem a credit scoring method is propos...

In this work, an intelligent traffic light controller that incorporates very important personnel (VIP) movement is presented. VIP movement often cause chaos or in the worst case accident at cross junctions. Traffic quantity, waiting time and siren intensity are the inputs to the system. The fuzzy logic tool box in Matlab 7.0 was used to simulate the system. The results obtained from running the...

In this paper a fuzzy logic based intelligent Extended Kalman filter (EKF) is used for the estimation of speed, rotor position ,direct and quadrature axis current of permanent magnet synchronous motor thereby eliminating the problem of design and tuning of process covariance matrix in EKF algorithm. Unlike in the previous approaches the present work uses only the sensed line currents as measure...

The performance of many components in intelligent transportation systems depends heavily on the quality of short-term traffic forecasts. We propose a new method for forecasting traffic based on type-2 fuzzy logic. Type-2 fuzzy logic is powerful in handling uncertainties, including uncertainties in measurements and data used to calibrate the parameters. In our formulation, the value of a members...

7 This paper describes hierarchical modeling of fuzzy logic concepts that has been used within the recently developed model of intelligent systems, called OBOA. The model is based on a multilevel, hierarchical, 9 general object-oriented approach. Current methods and software design and development tools for intelligent systems are usually di5cult to extend, and it is not easy to reuse their com...

To conform to strict environmental safety regulations, pH control is used in many industrial applications. For this purpose modern process industries are increasingly relying on intelligent and adaptive control strategies. On one hand intelligent control strategies try to imitate human way of thinking and decision making using artificial intelligence (AI) based techniques such as fuzzy logic wh...

Due to the complexity of scheduling flexible manufacturing systems, the generation of production schedules requires an intelligent technique. Many artificial intelligence techniques such as fuzzy logic, genetic algorithms and neural networks have been successfully applied to the scheduling of advanced manufacturing systems. One such system is Robotic Flexible Assembly Cells (RFACs). Few studies...