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arXiv 0709.0522cs.AI
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定性信念条件规则(QBCR)

Qualitative Belief Conditioning Rules (QBCR)

University of New Mexico(新墨西哥大学);ONERA(法国国家航空航天研究院)

Florentin Smarandache, Jean Dezert

摘要:

在本文中,我们扩展了新的家庭(定量)的信念条件规则(BCR)最近开发的Dezert-Smarandache理论(DSmT),他们的定性对应信念修订。由于新事件的发生,(条件约束)可以以许多可能的方式完成,我们在这里只介绍我们认为最吸引人的定性信念条件规则(QBCR),它允许直接用单词和语言标签来修改信念,从而避免了广告的引入。将定量信念转换为定量信念以解决问题。

英文摘要:

In this paper we extend the new family of (quantitative) Belief Conditioning Rules (BCR) recently developed in the Dezert-Smarandache Theory (DSmT) to their qualitative counterpart for belief revision. Since the revision of quantitative as well as qualitative belief assignment given the occurrence of a new event (the conditioning constraint) can be done in many possible ways, we present here only what we consider as the most appealing Qualitative Belief Conditioning Rules (QBCR) which allow to revise the belief directly with words and linguistic labels and thus avoids the introduction of ad-hoc translations of quantitative beliefs into quantitative ones for solving the problem.

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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