摘要翻译:
本文对信息融合中的Inagaki加权算子融合规则(WO)进行了扩展,不仅对冲突点的质量进行了重新分配,而且对非空交点的质量进行了重新分配,我们称之为双加权算子(DWO)。在此基础上,提出了一种新的融合规则类&交点质量比例再分配(CPRIM),该规则类在信息融合中产生了许多有趣的特定融合规则。这两个公式都是针对任何数量的信息源提出的。最后给出了一个应用实例,并与其他融合规则进行了比较。
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英文标题:
《Extension of Inagaki General Weighted Operators and A New Fusion Rule
Class of Proportional Redistribution of Intersection Masses》
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作者:
Florentin Smarandache
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最新提交年份:
2008
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分类信息:
一级分类:Computer Science 计算机科学
二级分类:Artificial Intelligence 人工智能
分类描述:Covers all areas of AI except Vision, Robotics, Machine Learning, Multiagent Systems, and Computation and Language (Natural Language Processing), which have separate subject areas. In particular, includes Expert Systems, Theorem Proving (although this may overlap with Logic in Computer Science), Knowledge Representation, Planning, and Uncertainty in AI. Roughly includes material in ACM Subject Classes I.2.0, I.2.1, I.2.3, I.2.4, I.2.8, and I.2.11.
涵盖了人工智能的所有领域,除了视觉、机器人、机器学习、多智能体系统以及计算和语言(自然语言处理),这些领域有独立的学科领域。特别地,包括专家系统,定理证明(尽管这可能与计算机科学中的逻辑重叠),知识表示,规划,和人工智能中的不确定性。大致包括ACM学科类I.2.0、I.2.1、I.2.3、I.2.4、I.2.8和I.2.11中的材料。
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英文摘要:
In this paper we extend Inagaki Weighted Operators fusion rule (WO) in information fusion by doing redistribution of not only the conflicting mass, but also of masses of non-empty intersections, that we call Double Weighted Operators (DWO). Then we propose a new fusion rule Class of Proportional Redistribution of Intersection Masses (CPRIM), which generates many interesting particular fusion rules in information fusion. Both formulas are presented for any number of sources of information. An application and comparison with other fusion rules are given in the last section.
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PDF链接:
https://arxiv.org/pdf/0807.1906