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首页> 外文期刊>International Journal of Information Technology & Decision Making >DOMINANCE-BASED EXTENSION OF STEPCLASS FOR MULTIATTRIBUTE NOMINAL CLASSIFICATION
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DOMINANCE-BASED EXTENSION OF STEPCLASS FOR MULTIATTRIBUTE NOMINAL CLASSIFICATION

机译:用于多属性名词分类的STEPCLASS的基于优势的扩展

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摘要

The problem of knowledge-based multiattribute classification with nonorderable classes is considered within the Verbal Decision Analysis (VDA) paradigm. Two VDA-based methods for such problem solving - NORClass and STEPCLASS - are outlined. The STEPCLASS method is initially designed for the problem with nonordered values of attributes. The main idea of NORClass is based on the assumption that a domain expert is able to order the values of any attribute according to their typicality for each class differently and independently of the values of other attributes. We propose to integrate into the STEPCLASS method the main ideas from NORClass. It is shown that such integration allows increasing the efficiency of the STEPCLASS method in cases, where the above assumption is true, and to overcome some drawbacks of NORClass.
机译:在言语决策分析(VDA)范式中考虑了具有不可排序类的基于知识的多属性分类问题。概述了用于解决问题的两种基于VDA的方法-NORClass和STEPCLASS。 STEPCLASS方法最初是针对具有属性的无序值的问题而设计的。 NORClass的主要思想是基于这样的假设:领域专家能够根据每种属性的典型性对每种属性的值分别进行排序,并且独立于其他属性的值。我们建议将NORClass的主要思想整合到STEPCLASS方法中。结果表明,在上述假设成立的情况下,这种集成可以提高STEPCLASS方法的效率,并且可以克服NORClass的某些缺点。

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