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Towards more realistic (e.g., non-associative) AND- and OR-operations in fuzzy logic

机译:朝着模糊逻辑中更现实的(例如,非关联的)“与”或“或”运算

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How is fuzzy logic usually formalized? There are many seemingly reasonable requirements that a logic should satisfy: e.g., since A and B and B and A are the same, the corresponding AND-operation should be commutative. Similarly, since A and A means the same as A, we should expect that the AND-operation should also satisfy this property, etc. It turns out to be impossible to satisfy all these seemingly natural requirements, so usually, some requirements are picked as absolutely true (like commutativity or associativity), and others are ignored if they contradict the chosen ones. This idea leads to a neat mathematical theory, but the analysis of real-life expert reasoning shows that all the requirements are only approximately satisfied. We should require all of these requirements to be satisfied to some extent. We show the preliminary results of analyzing such operations. In particular, we show that non-associative operations explain the empirical 7/spl plusmn/2 law in psychology according to which a person can normally distinguish between no more than 7 plus or minus 2 classes.
机译:模糊逻辑通常如何形式化?逻辑应该满足许多看似合理的要求:例如,由于A和B以及B和A相同,因此对应的AND运算应该是可交换的。类似地,由于A和A的含义与A相同,因此我们应该期望AND运算也应满足此属性,等等。事实证明不可能满足所有这些看似自然的要求,因此通常选择一些要求作为绝对正确(例如可交换性或关联性),如果其他与选择的相矛盾,则将其忽略。这个想法导致了一个整洁的数学理论,但是对现实生活中的专家推理的分析表明,所有的要求都只能近似地满足。我们应该要求在某种程度上满足所有这些要求。我们显示了分析此类操作的初步结果。特别是,我们证明了非关联性操作解释了心理学中的经验7 / spl plusmn / 2定律,根据该定律,一个人通常可以区分不超过7个正负2类。

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