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Active Sets and Unification

机译:活动集和统一

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摘要

An active set is a unifying space being able to act as a "bridge" for transferring information, ideas and results between distinct types of uncertainties and different types of applications. An active set is a set of agents who independently deliver true or false values for a given proposition. An active set is not a simple vector of logic values for different propositions, the results are a vector but the set is not. The difference between an ordinary set and active set is that the ordinary set has passive elements with values of the attributes defined by an external agent, in the active set any element is an agent that internally defines the value of a given attribute for a passive element. In this paper we show the connection between classical, fuzzy, evidence theory and active sets. In conclusion at one external agent we substitute a set of experts or agents that evaluate in a conflicting way the logic value of a given proposition or attribute. Under the same meta level of active sets we can discover analogy and similarity among distinct theories of uncertainty and types of many valued logics.
机译:活动集是一个统一的空间,可以充当在不同类型的不确定性和不同类型的应用程序之间传递信息,思想和结果的“桥梁”。活动集是一组针对给定命题独立提供正确或错误值的代理。活动集不是针对不同命题的简单逻辑值向量,结果是向量,但集不是。普通集和主动集之间的区别在于,普通集具有被动元素,这些被动元素的值由外部代理定义。在主动集中,任何元素都是在内部定义被动元素给定属性值的代理。在本文中,我们展示了经典,模糊,证据理论与活动集之间的联系。最后,在一个外部代理人中,我们用一组专家或代理人替代,这些专家或代理人以相互矛盾的方式评估给定命题或属性的逻辑价值。在活动集的相同元级别下,我们可以发现不同的不确定性理论和许多有价值的逻辑类型之间的类比和相似性。

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