Navigational sensors are evolvingboth on a commercial and research level.However, the limitation still lies in the accuracyof the respective sensors. For a navigationsystem to reach a certain accuracy, multi sensorsor fusion sensors are used. In this paper, aframework of fuzzy sensor data fusing isproposed to obtain an optimised navigationalsystem. Different types of sensors without aknown state of inaccuracy can be fused using thesame method proposed. This is demonstrated byfusing compass/accelerometer and GPS signal.GPS has evolved as a choice of navigationmethod for outdoor autonomous system. Despiteit emerging trend and application, one problemremains is that it is still prone to inaccuraciesdue to environmental factors. These factors areavailable and evaluated in the GPS receiverarchitecture. These inaccuracies are available inthe extracted NMEA(National MaritimeElectronics Association) protocols as SNR(Signal to noise ratio) and HDOP (HorizontalDillusion of Precision). Dead reckoning sensorson the other hand does not depend on externalradio signal coverage and can be used in areaswith low coverage. Unfortunately, the errors areunbounded and has an accumulative effect overtime.