LINGUISTIC RULES BASES REDUCTION BASED ON DECISION TREES

Authors

  • E.O. Gofman Zaporizhzhia National Technical University, Ukraine
  • A.O. Oliinyk Zaporizhzhia National Technical University, Ukraine
  • S.O. Subbotin Zaporizhzhia National Technical University, Ukraine

DOI:

https://doi.org/10.15588/1607-3274-2012-1-5

Keywords:

decision tree, rules induction, linguistic rule.

Abstract

The problem of linguistic rules induction is considered. A method of decision trees identification for linguistic rules induction is developed. The software based on the proposed method is created. Experiments on the solution of practical problems, which allowed to investigate the effectiveness of the proposed method are made.

Downloads

Published

2012-07-10

How to Cite

Gofman, E., Oliinyk, A., & Subbotin, S. (2012). LINGUISTIC RULES BASES REDUCTION BASED ON DECISION TREES. Radio Electronics, Computer Science, Control, (1). https://doi.org/10.15588/1607-3274-2012-1-5

Issue

No. 1 (2012): Radio Electronics, Computer Science, Control

Section

Mathematical and computer modelling

License

Copyright (c) 2014 E.O. Gofman, A.O. Oliinyk, S.O. Subbotin

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Creative Commons Licensing Notifications in the Copyright Notices

The journal allows the authors to hold the copyright without restrictions and to retain publishing rights without restrictions.

The journal allows readers to read, download, copy, distribute, print, search, or link to the full texts of its articles.

The journal allows to reuse and remixing of its content, in accordance with a Creative Commons license СС BY -SA.

Authors who publish with this journal agree to the following terms:

  • Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License CC BY-SA that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.

  • Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.

  • Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.