PREDICTION OF PROJECT ACTUAL RESULTS AT PRE-PROJECT PLANNING STAGE

Authors

  • V. M. Liovkin
  • V. I. Dubrovin
  • V. F. Onishchenko

DOI:

https://doi.org/10.15588/1607-3274-2011-1-9

Keywords:

project management, pre-project planning process, project results prediction, Project Definition Rating Index, project failure risk.

Abstract

The problem of predicting project actual results deviation from the results expected at the pre-project planning stage is considered. The efficiency of neural network-based models is analyzed. It is proposed to use the neural-evolution approach for problem solving and to use PDRI and project failure risk values as informative criterions. The criterion of results informativity is proposed. The method of predicting actual project results deviation from the results expected at the pre-project planning stage is presented.

Downloads

Published

2011-08-12

How to Cite

Liovkin, V. M., Dubrovin, V. I., & Onishchenko, V. F. (2011). PREDICTION OF PROJECT ACTUAL RESULTS AT PRE-PROJECT PLANNING STAGE. Radio Electronics, Computer Science, Control, (1). https://doi.org/10.15588/1607-3274-2011-1-9

Issue

No. 1 (2011): Radio Electronics, Computer Science, Control

Section

Mathematical and computer modelling

License

Copyright (c) 2014 V. M. Liovkin, V. I. Dubrovin, V. F. Onishchenko

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.