Title :
Decision fusion by fuzzy set operations
Author :
Loskiewicz-Buczak, Anna ; Uhrig, Robert E.
Author_Institution :
Dept. of Nucl. Eng., Tennessee Univ., Knoxville, TN, USA
Abstract :
This paper documents the work on a method for information fusion for the purpose of classification. The decision system proposed is an active system, which does not always fuse the decisions from all the sensors available. The decision module is a fuzzy system, performing the generalized mean operation. The final decision is obtained from the aggregated decision by means of α-cuts. The fusion method developed is applied to the problem of vibration analysis and the fusion results are described. The decisions to be fused are obtained using neural networks
Keywords :
decision support systems; fuzzy set theory; fuzzy systems; neural nets; active system; aggregated decision; classification; decision fusion; decision system; fuzzy set operations; fuzzy system; generalized mean operation; information fusion; neural networks; sensors; vibration analysis; Computer vision; Frequency; Fuses; Fuzzy sets; Instruments; Laboratories; Sensor fusion; Sensor systems; Shape; Uncertainty;
Conference_Titel :
Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1896-X
DOI :
10.1109/FUZZY.1994.343561
