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Additive decomposition of fuzzy pre-orders

机译:模糊预序的加法分解

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Fuzzy pre-orders (reflexive and min-transitive fuzzy relations) constitute an important class of fuzzy relations. By means of an indifference generator, a fuzzy pre-order can be decomposed additively into two parts: an indifference relation and a strict preference relation. When using a Frank t-norm as indifference generator, we fully characterize the transitivity of these parts. Only in case the minimum operator is used as generator, both parts are min-transitive. The transitivity of the indifference relation is determined by the Frank t-norms, while the transitivity of the strict preference relation is determined by transforms of the nilpotent minimum t-norm.
机译:模糊前置(自反和最小传递模糊关系)构成一类重要的模糊关系。借助无差异生成器,可以将模糊前序累加分解为两部分:无差异关系和严格偏好关系。当使用Frank t范数作为无差异生成器时,我们充分表征了这些零件的传递性。仅当最小运算符用作生成器时,两个部分都是最小传递的。冷漠关系的传递性由弗兰克t范数确定,而严格偏好关系的传递性由幂等最小t范数的变换确定。

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