Results 161 to 170 of about 797 (226)

Data compression with fuzzy relational equations

Fuzzy Sets and Systems, 2002
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Kaoru Hirota, Witold Pedrycz
exaly   +3 more sources

Fuzzy reasoning and fuzzy relational equations

Fuzzy Sets and Systems, 1986
The paper covers an interesting approach to two basic schemes of reasoning with fuzzy premises namely modus ponens and modus tollens, \[ \begin{alignedat}{2} &A && B \\ &\underline{A_ i \to B_ i,\quad i=1,2,\ldots,N} &\quad& \underline{A_ i \to B_ i,\quad i=1,2,\ldots,N} \\ &B && A \end{alignedat} \] where \(A\), \(A_ i\), \(B\), \(B_ i\) denote fuzzy ...
exaly   +2 more sources

On fuzzy relational equations and the covering problem

Information Sciences, 2011
In this study, the authors consider finite fuzzy relational equations of the form \(X\circ A= B\), where \(A\) and \(B\) are a fuzzy relation and a fuzzy set, respectively, while \(X\) is the fuzzy set to be determined. The symbol \(\circ\) stands for the max-continuous \(u\)-norm composition operator with ``\(u\)'' being a bivariate function \([0,1]^2\
Yan-Kuen Wu, Jun-Lin Lin, Sy-Ming Guu
exaly   +2 more sources

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