基于知识的评估手段基金形成方法

G. Yakhyaeva
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引用次数: 1

摘要

本文提出了一种评价文件资金建模的理论模型方法。这种方法允许在考虑审查员意愿的情况下形成评估文件。以Case Model和it Fuzzification的形式对对象域进行形式化,使您能够以谓词逻辑的无量词公式的形式构建评估文档的模板,并检查构建模板的一致性。本文描述了为给定模板生成一组评估文档的算法。该集合由用户指定数量的具有相同结构类型但内容唯一的评估文档变体组成。该算法基于分类数据聚类算法CLOPE。本文提出了一种改进算法,允许根据输入数据自动确定所需的簇数,并解决了小簇的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Knowledge Based Approach to Form of the Assessment Means Fund
The article proposes a theoretical-model approach to modeling the fund of assessment documents. This approach allows the formation of assessment documents, taking into account the wishes of the examiner. Formalization of the object domain in the form of Case Model and it Fuzzification allows you to build a template of an assessment document in the form of a quantifier-free formula of predicate logic, as well as to check the consistency of the constructed template.The article describes an algorithm for generating a set of assessment documents for a given template. This set consists of a user-specified number of variants of assessment documents of the same type in structure, but unique in content. The algorithm is based on the categorical data clustering algorithm CLOPE. The paper presents a modification of the algorithm that allows to automatically determine the required number of clusters depending on the input data, as well as to solve the problem of small clusters.
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