International Journal of Computational Intelligence Systems

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Volume 10, Issue 1, 2017, Pages 320 - 335

Project Control and Computational Intelligence: Trends and Challenges

Authors
José Alejandro Lugo García*, 1, jalugogarcia@gmail.com, Anié Bermudez Peña1, abp@uci.cu, Pedro Yobanis Piñero Pérez1, ppp@uci.cu
1Laboratory of Project Management Research, University of Information Sciences, Carretera a San Antonio de los Baños, km 2 ½, Boyeros, La Habana, ZIP Code: 19370, Cuba
Rafael Bello Pérezrbellop@uclv.edu.cu
Department of Computer Science, Central University “Martha Abreu” of Las Villas, Santa Clara, Cuba
*Corresponding author.
Corresponding Author
José Alejandro Lugo Garcíajalugogarcia@gmail.com
Received 12 September 2015, Accepted 30 October 2016, Available Online 1 January 2017.
DOI
10.2991/ijcis.2017.10.1.22How to use a DOI?
Keywords
Computational Intelligence; decision-making; open source software; project control
Abstract

Project monitoring and control by using key performance indicators has become a widespread method for decision-making in project-oriented organizations. However, the current schools and IT tools created for this purpose require an upgrade in design due to imprecision, vagueness or uncertainty present in the raw data and changing conditions in management styles. Moreover, the use of proprietary technologies in developing nations represents high costs for governments and obstacles to achieving its technological sovereignty. This paper studies the trends and challenges in project control through computational intelligence methods. It also examines schools and technological tools to manage projects, as well as open source software for the application of computational intelligence techniques over the past decades. Current tendencies and improvement areas, valuing niche markets with high applicability around the thematic goal it is also analyzed. The contribution of this study is related to the predicted necessity of constructing new models and IT tools for project control which integrate machine learning-based approaches and treatment of imprecision, vagueness or uncertainty in the information, using key performance indicators linked to fundamental knowledge areas. The implementation of new libraries for learning evaluation in project control with open source software tools, opens a field of research related to increase technological integration with IT project management tools. The content under discussion provides support to improve decision-making in project-oriented organizations.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

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<Previous Article In Issue
Next Article In Issue>
Journal
International Journal of Computational Intelligence Systems
Volume-Issue
10 - 1
Pages
320 - 335
Publication Date
2017/01/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.2017.10.1.22How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Cite this article

risenwbib
TY  - JOUR
AU  - José Alejandro Lugo García
AU  - Anié Bermudez Peña
AU  - Pedro Yobanis Piñero Pérez
AU  - Rafael Bello Pérez
PY  - 2017
DA  - 2017/01/01
TI  - Project Control and Computational Intelligence: Trends and Challenges
JO  - International Journal of Computational Intelligence Systems
SP  - 320
EP  - 335
VL  - 10
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2017.10.1.22
DO  - 10.2991/ijcis.2017.10.1.22
ID  - García2017
ER  -