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首页> 外文期刊>International Journal of Uncertainty, Fuzziness, and Knowledge-based Systems >PRODUCT-BASED CAUSAL NETWORKS AND QUANTITATIVE POSSIBILISTIC BASES
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PRODUCT-BASED CAUSAL NETWORKS AND QUANTITATIVE POSSIBILISTIC BASES

机译:基于产品的因果网络和定量可能的基础

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摘要

In possibility theory, there are two kinds of possibilistic causal networks depending if possibilistic conditioning is based on the minimum or on the product operator. Similarly there are also two kinds of possibilistic logic: standard (min-based) possibilistic logic and quantitative (product-based) possibilistic logic. Recently, several equivalent transformations between standard possibilistic logic and min-based causal networks have been proposed. This paper goes one step further and shows that product-based causal networks can be encoded into product-based knowledge bases. The converse transformation is also provided.
机译:在可能性理论中,有两种可能的因果网络,取决于可能性条件是基于最小值还是基于乘积运算符。同样,也有两种可能性逻辑:标准(基于最小)的可能性逻辑和定量(基于产品)的可能性逻辑。最近,已经提出了在标准可能性逻辑和基于最小因果网络之间的几种等效变换。本文进一步走了一步,表明可以将基于产品的因果网络编码为基于产品的知识库。还提供了逆变换。

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