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Modeling holistic fuzzy implication using co-copulas

机译:使用co-copulas建模整体模糊蕴涵

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Two related aggregation operators called copulas and co-copulas are introduced and various properties are described. The relationship, of these operators to t-norms and t-conorms is noted. Generalizations of these, respectively, called conjunctors and disjunctors, are introduced. We suggest the use of disjunctor operators for modeling the multi-valued implication operator in fuzzy logic. We point out that the selection of operators used in fuzzy logic, in addition to having appropriate pointwise properties, should be holistic, this requires consideration of the nature of the resulting fuzzy set as a whole. Focusing on the protoform of fuzzy modus ponens and looking at the information contained in the inferred fuzzy set we show that the use of co-copulas has some desirable properties. Taking advantage of the fact that the weighted sum of co-copulas is a co-copula we consider the problem of constructing customized implication operators.
机译:介绍了两个相关的聚合算子,称为copulas和co-copulas,并描述了各种性质。记录了这些算子与t范数和t范数的关系。分别介绍了它们的一般化,称为析取和析取。我们建议使用析取运算符对模糊逻辑中的多值蕴涵算符进行建模。我们指出,对模糊逻辑中使用的运算符的选择,除了要具有适当的逐点属性外,还应该是整体的,这需要整体考虑所得模糊集的性质。着眼于模糊模态原型的模型,并查看推断的模糊集中所包含的信息,我们表明使用co-copulas具有一些理想的特性。利用co-copula的加权和是co-copula的事实,我们考虑构造定制的蕴涵算符的问题。

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