Abstract
This paper presents a framework called Real Time Multi Logic Reasoner (RT-MLR) to perform high level data fusion. RT-MLR reconciles the development of Knowledge Based Systems (KBS) with the object-oriented architectures and on-line real-time monitoring requirements. This framework has been implemented with an inference engine that supports a data driven approach and knowledge expressed in First-Order Logic, Fuzzy Logic and Temporal Logic. RT-MLR has been tested face on its capability to perform data fusions in a military application, using all kinds of logics implemented. Data fusions in different levels were made through rules that express relations between objects inside naval context scenarios. Simulated and actual data were used in validation process.
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 callDisclaimer: 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.
