In this paper we describe the application of a Simple ACO (S-ACO) as a method of optimization for membership functions’ parameters of a fuzzy logic controller (FLC) in order to find the optimal intelligent controller for an Autonomous Wheeled Mobile Robot. Simulation results show that ACO outperforms a GA in the optimization of FLCs for an autonomous mobile robot.

Visually impaired has limited movement using the classic white cane. Currently, there are many designs for devices that can assist the blind moves better in unfamiliar environment. Then, controllers were applied in the devices’ system so that it can improve the system’s efficiency and accuracy in dealing with real-time situations. That’s when the intelligent system was introduced in the field t...

The goal of this expository paper is to bring forth the basic current elements of soft computing (fuzzy logic, neural networks, genetic algorithms and genetic programming) and the current applications in intelligent control. Fuzzy sets and fuzzy logic and their applications to control systems have been documented. Other elements of soft computing, such as neural networks and genetic algorithms,...

In this paper we present an approach to use fuzzy logic and data mining techniques in order to improve the quality of intelligent agents services in the Internet context. The overall objective is to design and implement a software model for collaborative environments capable of extracting knowledge from newsgroups, chat services ... The construction of the components of this software model is m...

Soft computing is a part of an artificial intelligence, and fuzzy logic is the study of fuzziness on data. The combination of these two techniques can provide an intelligent system with more ability and flexibility. The nature of data in the stock/capital market is more complex and challenging to predict the movement of the price of the stock. The study has combined both fuzzy c-means and neura...

This paper contributes an overview of application of intelligent tools into the sector of b2b training. We present three prototype intelligent tools developed with artificial intelligence techniques (neural-networks and fuzzy-logic) which have been successfully applied to business training.

introduction determining the importance of environmental impacts is one of the main issues and concerns in the process of environmental impact assessment (eia) of projects. ecological impacts assessment is very complicated and requires estimates and anticipates of all environmental impacts and thus always associated with uncertainty. a major problem in assessment of ecological impacts is that t...

In this paper, we explain the design and implementation of an intelligent irrigation control system based on fuzzy logic for automatic water pumps used in farms greenhouses. This enables its user to save electricity prevent over-watering under-watering crop by taking into account climatic parameters soil moisture. The works without human intervention. climate sensors are packaged using electron...