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.
Original language | English |
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Title of host publication | Proceedings of the 1990 IEEE National Aerospace and Electronics Conference |
Publisher | IEEE |
Pages | 1085-1091 |
Number of pages | 7 |
DOIs | |
State | Published - 1990 |
Event | 1990 IEEE National Aerospace and Electronics Conference - Dayton, OH, USA Duration: May 21 1990 → May 25 1990 |
Conference
Conference | 1990 IEEE National Aerospace and Electronics Conference |
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Abbreviated title | NAECON 1990 |
City | Dayton, OH, USA |
Period | 5/21/90 → 5/25/90 |
ASJC Scopus Subject Areas
- General Engineering
Keywords
- Computer science
- Databases
- Diagnostic expert systems
- Fuzzy reasoning
- Fuzzy set theory
- Fuzzy systems
- Pattern analysis
- Pattern recognition
- Robustness
- Set theory
Disciplines
- Computer Sciences
- Engineering
- Mathematics
- Physical Sciences and Mathematics