DocumentCode :
2177440
Title :
The effectivity analysis of approximate reasoning models in expert system
Author :
Sao-Wei, Yong ; Wen-Xian, Yu ; Gui-Rong, Guo
Author_Institution :
Autom. Target Recognition Lab., Nat. Univ. of Defense Technol., Changsha, China
fYear :
1994
fDate :
23-27 May 1994
Firstpage :
795
Abstract :
In this paper,the entropy method is used as a well-suited tool to analyze the effectivity and stability of the reasoning models. We analyse two kinds of typical reasoning models: certainty theory and D-S theory. With the aid of the colony entropy, the effectivity and stability of models is studied by the convergence of entropy on the condition of intersupporting evidence. Moreover, we contrast two reasoning models in effectivity, stability and robustness
Keywords :
entropy; model-based reasoning; stability; uncertainty handling; D-S theory; approximate reasoning models; certainty theory; colony entropy; convergence of entropy; effectivity analysis; entropy; expert system; intersupporting evidence; reasoning models; robustness; stability; Convergence; Entropy; Expert systems; Information theory; Kernel; Laboratories; Robustness; Stability analysis; Target recognition; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Aerospace and Electronics Conference, 1994. NAECON 1994., Proceedings of the IEEE 1994 National
Conference_Location :
Dayton, OH
Print_ISBN :
0-7803-1893-5
Type :
conf
DOI :
10.1109/NAECON.1994.332957
Filename :
332957
Link To Document :
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