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Paired fuzzy sets: a unifying model for early knowledged acquisition

机译:配对模糊集:早期知识获取的统一模型

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摘要

In this paper we want to stress the relevance of paired fuzzy sets, as already proposed in previous works of the authors, as a family of fuzzy sets that offers a unifying view for different models based upon the opposition of two fuzzy sets, simply allowing the existence of different types of neutrality associated to the different semantic relationships that may hold between opposite references. This scheme should be seen as a basic model for knowledge acquisition, which eventually will lead to a better understanding of the relationship of different knowledge representation models and to the acquisition of more complex valuation scales.
机译:在本文中,我们想强调成对模糊集的相关性,正如作者先前的工作中已经提出的那样,它是一个模糊集族,它基于两个模糊集的对立关系为不同模型提供了统一的观点,只是允许与不同引用之间可能存在的不同语义关系相关的不同类型的中立性的存在。该方案应被视为知识获取的基本模型,最终将导致对不同知识表示模型之间关系的更好理解,并导致获得更复杂的估值尺度。

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