Abstract
This paper presents a data-based fuzzy computational scheme for modelling the Earth's magnetic field using the framework of Adaptive Non-Additive Fuzzy System (ANAFS). The defuzzified output constructed from both the premise and consequent parts of the GFM rules takes the form of Choquet integral. Premise and Consequent parameters of fuzzy model are then updated for each online data based on the estimation error to make the adaptive system. The resulting model is validated on the real data, that is, magnetic field intensity obtained from the magnetometer and the training and prediction results are found to be better and can be used for modelling such a complex system whose mathematical or physical modelling is very difficult to obtain. Thus, this work makes an important contribution to the field of system modelling in real life.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Information and Communication Technology
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
