接收机工作特性曲线的布尔代数

M. Oxley, S. Thorsen, Christine M. Schubert-Kabban
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引用次数: 9

摘要

开发分类系统族决策融合规则的合理起点是使用逻辑与或规则。当显示存在许多属性时,这两个规则以及一元规则NOT可以生成布尔代数。本文研究了分类系统族的这些规则如何构成系统的布尔代数。这个族的布尔代数然后在独立性的假设下显示为与接受者工作特征(ROC)曲线的布尔代数同构。这些决策融合规则产生的ROC曲线成为测试非布尔(可能是非决策融合规则)性能提高的界限。我们给出一个例子来证明这种布尔代数的ROC曲线的有用性。
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A Boolean Algebra of receiver operating characteristic curves
A reasonable starting place for developing decision fusion rules of families of classification systems is using the logical AND and OR rules. These two rules, along with the unary rule NOT, can lead to a Boolean algebra when a number of properties are shown to exist. This paper examines how these rules for classification system families comprise a Boolean algebra of systems. This Boolean algebra of families is then shown under assumptions of independence to be isomorphic to a Boolean algebra of receiver operating characteristic (ROC) curves. These decision fusion rules produce ROC curves which become the bounds by which to test non-Boolean, possibly non-decision fusion rules for performance increases. We give an example to demonstrate the usefulness of this Boolean algebra of ROC curves.
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