DocumentCode
2292336
Title
Semeiotic data fusion
Author
Burch, Robert W.
Author_Institution
Dept. of Philosophy, Texas A&M Univ., College Station, TX, USA
Volume
2
fYear
2000
fDate
10-13 July 2000
Abstract
Standard techniques for data fusion are quantitative in character. Numerical methods, however, are not always suitable for data that are not numerical but rather qualitative and/or relational in character. In Russia Professor Victor K. Finn has developed an approach to data fusion in qualitative contexts that he calls "the JSM Method of Hypothesis Generation". This report is a brief survey of Finn\´s approach.
Keywords
inference mechanisms; numerical analysis; sensor fusion; Hypothesis Generation; JSM Method; qualitative contexts; semeiotic data fusion; Art; Bayesian methods; Fusion power generation; Fuzzy set theory; Heart; Logic; Milling machines; Natural languages; Region 8; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Fusion, 2000. FUSION 2000. Proceedings of the Third International Conference on
Conference_Location
Paris, France
Print_ISBN
2-7257-0000-0
Type
conf
DOI
10.1109/IFIC.2000.859846
Filename
859846
Link To Document