Title :
Semeiotic data fusion
Author :
Burch, Robert W.
Author_Institution :
Dept. of Philosophy, Texas A&M Univ., College Station, TX, USA
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;
Conference_Titel :
Information Fusion, 2000. FUSION 2000. Proceedings of the Third International Conference on
Conference_Location :
Paris, France
Print_ISBN :
2-7257-0000-0
DOI :
10.1109/IFIC.2000.859846
