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Solving a class of fuzzy relation inequalities via semi-tensor product

机译:通过半张量积解决一类模糊关系不等式

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The problem of solving a class of fuzzy relation inequalities (FRIs) is investigated. First, it is shown that if the FRI is solvable, there is a corresponding parameter solution set (briefly, PSS). Then the semi-tensor product of matrices is used to convert the logical inequality into its algebraic form via the vector expression of logical variables. Under this form all the PSS can be obtained. It is proved that all the solutions can be derived from their corresponding PSS. An example is presented to demonstrate the effectiveness of the algorithm provided in this paper.
机译:研究了解决一类模糊关系不等式(FRI)的问题。首先,表明如果FRI是可解的,则存在一个相应的参数解决方案集(简称PSS)。然后,使用矩阵的半张量积通过逻辑变量的矢量表达式将逻辑不等式转换为代数形式。在这种形式下,可以获得所有PSS。事实证明,所有解决方案都可以从其相应的PSS中得出。给出一个例子来证明本文提供的算法的有效性。

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