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Dominance Relations in Rough Sets Approximations for Assessing Students Knowledge

机译：评估学生知识的粗糙集中的主导关系近似

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摘要

A lot of research has been done with respect to automated evaluation of students' knowledge. In this article we apply dominance relations in rough sets approximations for assessing students knowledge.

机译：对学生知识的自动评估进行了大量研究。在本文中，我们将优势关系应用于评估学生知识的粗糙集近似值。

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《WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases 》|2011年||共6页
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SYLVIA ENCHEVA;
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原文格式 PDF
正文语种
中图分类 TP18-53;
关键词
Decision support services; Knowledge evaluation; Intelligent systems; Automated tests;

机译：决策支持服务;知识评估;智能系统;自动化测试;

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1. Dynamic Maintenance of Approximations in Dominance-Based Rough Set Approach under the Variation of the Object Set [J] . Shaoyong Li, Tianrui Li, Dun Liu International journal of entelligent systems . 2013 ,第8期

机译：对象集变化下基于优势的粗糙集方法中逼近的动态维护
2. Incremental updating approximations in dominance-based rough sets approach under the variation of the attribute set [J] . Shaoyong Li, Tianrui Li, Dun Liu Knowledge-Based Systems . 2013 ,第MARa期

机译：属性集变化下基于优势的粗糙集方法中的增量更新近似
3. On Conjoint Analysis by Rough Approximations Based on Dominance Relations [J] . Kazutomi Sugihara, Hiroaki lshii, Hideo Tanaka International Journal of Intelligent Systems . 2004 ,第7期

机译：基于优势关系的粗糙近似联合分析
4. Dominance Relations in Rough Sets Approximations for Assessing Students Knowledge [C] . SYLVIA ENCHEVA Recent researches in artificial intelligence, knowledge engineering and data bases . 2011

机译：评估学生知识的粗糙集近似中的优势关系
5. Fuzzy Rough Set Approximations in Large Scale Information Systems. [D] . Asfoor, Hasan. 2015

机译：大规模信息系统中的模糊粗糙集近似。
6. Insects as Novel Food: A Consumer Attitude Analysis through the Dominance-Based Rough Set Approach [O] . Rocco Roma, Giovanni Ottomano Palmisano, Annalisa De Boni 2020

机译：昆虫作为新型食品：通过基于优势的粗糙集方法的消费者态度分析
7. Incremental Approach for Updating Approximations of Variable Precision Rough Set Based on Dominance Relations [O] . Yan Li, Jiajia Hou, Cxiaoqing Liu 2016

机译：基于优势关系的变精度粗糙集近似更新的增量方法

Dominance Relations in Rough Sets Approximations for Assessing Students Knowledge

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