Title :
Sensitivity analysis for WOWA, OWA and WM operators
Author_Institution :
Inst. d´´Investigacio en Intelligencia Artificial, CSIC, Catalunya, Spain
Abstract :
This work is focused on the analysis of the sensitivity of some aggregation operators of the Choquet integral family: the ordered weighting averaging (OWA) operator, the weighted OWA (WOWA), the weighted mean and the arithmetic mean. We show that the arithmetic mean is the one with less sensitivity and that the behavior of OWA, WM and WOWA for small errors is different than the case of large errors
Keywords :
sensitivity analysis; sensor fusion; Choquet integral family; arithmetic mean; data fusion methods; large errors; ordered weighting averaging operator; sensitivity analysis; small errors; weighted mean operator; weighted ordered weighting averaging operator; Arithmetic; Data mining; Humans; Knowledge representation; Mechanical factors; Open wireless architecture; Partitioning algorithms; Sensitivity analysis;
Conference_Titel :
Industrial Electronics, 2001. Proceedings. ISIE 2001. IEEE International Symposium on
Conference_Location :
Pusan
Print_ISBN :
0-7803-7090-2
DOI :
10.1109/ISIE.2001.931769
