In this paper a method of fault locating in a radial power distribution system is discussed. Electric power distribution systems are expected to function at all times, even under fault conditions. However, when they operate under fault conditions, the system operator receives information, which makes it very difficult to make decisions on whether to restore a tripped feeder to normal operation or take other appropriate action. To cope with this uncertainty in decision making, a fault diagnosis method based on fuzzy logic is proposed. The proposed method aims to ease the burden of decision making on the part of the system operator of presenting a fast and accurate fault diagnosis method which classifies and identifies the type of fault which occurs on an overhead radial power distribution network.