A selection mechanism using multi-criteria evaluation and hierarhical classifying tree for resume data processing
The paper considers a problem of optimal feature selection for resume data processing by means of combining multicriteria evaluation technique and hierarhical classifying trees technology what makes it possible to build a selection mechanism without necessity to collect data for the learning purpose...
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Format: | Article |
Language: | English |
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Belarusian National Technical University
2021-08-01
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Series: | Системный анализ и прикладная информатика |
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Online Access: | https://sapi.bntu.by/jour/article/view/513 |
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author | O. V. German J. O. German S. Nasr |
author_facet | O. V. German J. O. German S. Nasr |
author_sort | O. V. German |
collection | DOAJ |
description | The paper considers a problem of optimal feature selection for resume data processing by means of combining multicriteria evaluation technique and hierarhical classifying trees technology what makes it possible to build a selection mechanism without necessity to collect data for the learning purposes of real applicants. Instead, the learning data are generated by means of the technique used in a full factorial experiment with quite a restricted number of samples. The suggested approach minimizes the number of the features used in selection the best candidates and does not use the quantitative ratings of candidates replacing them with multi-phases classifying procedure. These peculiarities of the suggested selection mechanism make it more flexible and form a basis for applying it in conditions characterized by vagueness and fuzziness of the applicant data. |
format | Article |
id | doaj-art-9797ef41b43a43cca4f67538599a63c1 |
institution | Kabale University |
issn | 2309-4923 2414-0481 |
language | English |
publishDate | 2021-08-01 |
publisher | Belarusian National Technical University |
record_format | Article |
series | Системный анализ и прикладная информатика |
spelling | doaj-art-9797ef41b43a43cca4f67538599a63c12025-02-03T11:37:39ZengBelarusian National Technical UniversityСистемный анализ и прикладная информатика2309-49232414-04812021-08-0102343810.21122/2309-4923-2021-2-34-38386A selection mechanism using multi-criteria evaluation and hierarhical classifying tree for resume data processingO. V. German0J. O. German1S. Nasr2Belarussian State University of Indormatics and RadioelectronicsBelarussian State University of Indormatics and RadioelectronicsBelarussian State University of Indormatics and RadioelectronicsThe paper considers a problem of optimal feature selection for resume data processing by means of combining multicriteria evaluation technique and hierarhical classifying trees technology what makes it possible to build a selection mechanism without necessity to collect data for the learning purposes of real applicants. Instead, the learning data are generated by means of the technique used in a full factorial experiment with quite a restricted number of samples. The suggested approach minimizes the number of the features used in selection the best candidates and does not use the quantitative ratings of candidates replacing them with multi-phases classifying procedure. These peculiarities of the suggested selection mechanism make it more flexible and form a basis for applying it in conditions characterized by vagueness and fuzziness of the applicant data.https://sapi.bntu.by/jour/article/view/513multi-criteria decision makinghierarhical classifying treefeature selection |
spellingShingle | O. V. German J. O. German S. Nasr A selection mechanism using multi-criteria evaluation and hierarhical classifying tree for resume data processing Системный анализ и прикладная информатика multi-criteria decision making hierarhical classifying tree feature selection |
title | A selection mechanism using multi-criteria evaluation and hierarhical classifying tree for resume data processing |
title_full | A selection mechanism using multi-criteria evaluation and hierarhical classifying tree for resume data processing |
title_fullStr | A selection mechanism using multi-criteria evaluation and hierarhical classifying tree for resume data processing |
title_full_unstemmed | A selection mechanism using multi-criteria evaluation and hierarhical classifying tree for resume data processing |
title_short | A selection mechanism using multi-criteria evaluation and hierarhical classifying tree for resume data processing |
title_sort | selection mechanism using multi criteria evaluation and hierarhical classifying tree for resume data processing |
topic | multi-criteria decision making hierarhical classifying tree feature selection |
url | https://sapi.bntu.by/jour/article/view/513 |
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