Abstract | ||
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The paper describes a methodology for selecting relevant fuzzy implications in forward and backward reasoning. The proposed methodology is based on the functional representation of fuzzy implications and dependencies between fuzzy implications. This can be useful for the design of an inference engine based on the rule knowledge for a given rule-based system. |
Year | DOI | Venue |
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2018 | 10.1007/978-3-319-99010-1_19 | PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT SYSTEMS AND INFORMATICS 2018 |
Keywords | DocType | Volume |
Fuzzy implication,Fuzzy production rule,Knowledge representation,Approximate reasoning,Intelligent system,Rule-based system | Conference | 845 |
ISSN | Citations | PageRank |
2194-5357 | 0 | 0.34 |
References | Authors | |
0 | 1 |
Name | Order | Citations | PageRank |
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Zbigniew Suraj | 1 | 501 | 59.96 |