Title :
Modeling intelligence information: multi-source fusion
Author :
Yager, Ronald R.
Author_Institution :
Machine Intelligence Inst., Iona Coll., New Rochelle, NY
fDate :
March 31 2005-April 1 2005
Abstract :
We discuss the inherent imprecision and uncertainty associated with much of the information available to intelligence analyst. We indicate how fuzzy sets can provide an appropriate method for representing this type of information. We briefly describe some concepts from the fuzzy sets based theory of approximate reasoning. We then suggest a method for fusing multi-source information based on a conjunction of fuzzy sets. We particularly deal with the situation in the information being fused may be conflicting
Keywords :
fuzzy set theory; inference mechanisms; knowledge representation; approximate reasoning; fuzzy sets; intelligence information modeling; multi-source fusion; Computational intelligence; Fuzzy sets; Humans; Information analysis; Intelligent agent; Internet; Machine intelligence; North America; Reactive power; Uncertainty;
Conference_Titel :
Computational Intelligence for Homeland Security and Personal Safety, 2005. CIHSPS 2005. Proceedings of the 2005 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-9176-4
DOI :
10.1109/CIHSPS.2005.1500600
