Abstract
This paper presents a new mathematical model for integrating information from multiple sources with respect to fuzzy measures. The proposed methodology is based on the optimality principle of an estimation technique of geostatistics known as block kriging. The feature of this analytical solution method for information fusion problems is that it provides an operation on aggregating the available data in such a way as to minimize the expected squared error of estimation, and the estimation error is also computed. The results obtained from this method will be compared with the ordinary weighted mean, Sugeno integral, and Choquet integral.
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 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.
