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arXiv 1301.3835cs.AI
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可能性逻辑中归并运算的原理分析

A Principled Analysis of Merging Operations in Possibilistic Logic

Institut de Recherche en Informatique de Toulouse (I.R.I.T.)-C.N.R.S. Universite Paul Sabatier(图卢兹计算机科学研究所(IRIT)-法国国家科学研究中心(CNRS)保罗·萨巴蒂埃大学)

Salem Benferhat, Didier Dubois, Souhila Kaci, Henri Prade

摘要:

可能性逻辑提供了一个定性的框架,用于表示与优先级的不确定性水平相关的信息。在此背景下,多源信息的融合进行了讨论。不同类别的合并运营商被认为是包括合取,析取,加固,自适应和平均运营商。然后,我们建议根据公设来分析这些类。这是通过首先将合并经典基的假设扩展到优先级可用的情况来完成的。

英文摘要:

Possibilistic logic offers a qualitative framework for representing pieces of information associated with levels of uncertainty of priority. The fusion of multiple sources information is discussed in this setting. Different classes of merging operators are considered including conjunctive, disjunctive, reinforcement, adaptive and averaging operators. Then we propose to analyse these classes in terms of postulates. This is done by first extending the postulate for merging classical bases to the case where priorites are avaialbe.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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