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
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