DocumentCode
2669343
Title
Evaluation of approximate reasoning methodologies
Author
Cross, Valerie ; Sudkamp, Thomas
Author_Institution
Dept. of Comput. Sci., Wright State Univ., Dayton, OH, USA
fYear
1990
fDate
21-25 May 1990
Firstpage
1085
Abstract
A methodology and architecture have been developed to compare the effectiveness and efficiency of evidential reasoning techniques based on the precision and completeness of domain information and observations. A generic classification tool (GCT) is developed to analyze the effectiveness of various evidential reasoning techniques. To compare the reasoning paradigms, the representation of the domain and evidential knowledge must be robust as possible without favoring any of the methods. Due to the ability to transform the representation into those required by each method, a variant of the fuzzy relational database model is chosen to represent domain knowledge. This generic evidential reasoning system is then used to compare the generation of support by the Dempster-Shafer theory and a fuzzy reasoning technique on two domains using both precise and imprecise information
Keywords
fuzzy logic; inference mechanisms; knowledge representation; performance evaluation; relational databases; Dempster-Shafer theory; approximate reasoning; architecture; completeness; domain information; domain knowledge; effectiveness; efficiency; evidential knowledge; fuzzy reasoning; fuzzy relational database model; generic classification tool; precision; Computer science; Databases; Diagnostic expert systems; Fuzzy reasoning; Fuzzy set theory; Fuzzy systems; Pattern analysis; Pattern recognition; Robustness; Set theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Aerospace and Electronics Conference, 1990. NAECON 1990., Proceedings of the IEEE 1990 National
Conference_Location
Dayton, OH
Type
conf
DOI
10.1109/NAECON.1990.112919
Filename
112919
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