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EUSFLAT
2003

The role and properties of rule relevancy in fuzzy inference process

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The role and properties of rule relevancy in fuzzy inference process
Fuzzy inference process usually involves the use of fuzzy rule base consisting in several fuzzy rules. Overall output can be obtained by aggregation of outputs of all rules. To obtain an output of individual rule the relevancy of this rule is calculated. Then the individual output is obtained from the relevancy and the consequent of the rule. Such process can be realised using an operator that is called the relevancy transformation operator. It must fulfil some requirements, which are tightly connected with an aggregation step. The properties of such operators are studied.
Michal Sabo
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2003
Where EUSFLAT
Authors Michal Sabo
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