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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Main Authors: O. V. German, J. O. German, S. Nasr
Format: Article
Language:English
Published: Belarusian National Technical University 2021-08-01
Series:Системный анализ и прикладная информатика
Subjects:
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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