PROJECT PROGRAM EVALUATION MODEL BASED ON INDICATORS AND FUZZY LOGIC
The inadequacies of project management tools to measure the progress of a program, are affecting decision-making by users. This paper presents a model for evaluating Project management programs based on indicators and fuzzy logic. This model is applied to GESPRO, a project manageme...
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Universidad Nacional de Mar del Plata
2015-12-01
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Series: | Iberoamerican Journal of Project Management |
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doaj-6692b438845349b6a054219a8163f8fb2020-11-25T01:17:02ZengUniversidad Nacional de Mar del PlataIberoamerican Journal of Project Management2346-91612015-12-01624363PROJECT PROGRAM EVALUATION MODEL BASED ON INDICATORS AND FUZZY LOGICAcanda Joanni0Izquierdo Irania1Arza Javier2Piñero Pedro Yobany3Lugo José Alejandro4Universidad de las Ciencias InformáticasUniversidad de las Ciencias InformáticasUniversidad de las Ciencias InformáticasUniversidad de las Ciencias InformáticasUniversidad de las Ciencias InformáticasThe inadequacies of project management tools to measure the progress of a program, are affecting decision-making by users. This paper presents a model for evaluating Project management programs based on indicators and fuzzy logic. This model is applied to GESPRO, a project management tool, used at the University of Computer Sciences to measure the progress of each of the programs that run on it. The result of this work could be applied in different companies helping to improve decision-making ability of its managers. The results obtained in this research demonstrate its importance and usefulness.http://www.ijopm.org/index.php/IJOPM/article/view/205EvaluationIndicatorsFuzzy LogicProject ProgramsProject |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Acanda Joanni Izquierdo Irania Arza Javier Piñero Pedro Yobany Lugo José Alejandro |
spellingShingle |
Acanda Joanni Izquierdo Irania Arza Javier Piñero Pedro Yobany Lugo José Alejandro PROJECT PROGRAM EVALUATION MODEL BASED ON INDICATORS AND FUZZY LOGIC Iberoamerican Journal of Project Management Evaluation Indicators Fuzzy Logic Project Programs Project |
author_facet |
Acanda Joanni Izquierdo Irania Arza Javier Piñero Pedro Yobany Lugo José Alejandro |
author_sort |
Acanda Joanni |
title |
PROJECT PROGRAM EVALUATION MODEL BASED ON INDICATORS AND FUZZY LOGIC |
title_short |
PROJECT PROGRAM EVALUATION MODEL BASED ON INDICATORS AND FUZZY LOGIC |
title_full |
PROJECT PROGRAM EVALUATION MODEL BASED ON INDICATORS AND FUZZY LOGIC |
title_fullStr |
PROJECT PROGRAM EVALUATION MODEL BASED ON INDICATORS AND FUZZY LOGIC |
title_full_unstemmed |
PROJECT PROGRAM EVALUATION MODEL BASED ON INDICATORS AND FUZZY LOGIC |
title_sort |
project program evaluation model based on indicators and fuzzy logic |
publisher |
Universidad Nacional de Mar del Plata |
series |
Iberoamerican Journal of Project Management |
issn |
2346-9161 |
publishDate |
2015-12-01 |
description |
The inadequacies of project management tools to measure the progress of a program, are affecting decision-making by users. This paper presents a model for evaluating Project management programs based on indicators and fuzzy logic. This model is applied to GESPRO, a project management tool, used at the University of Computer Sciences to measure the progress of each of the programs that run on it. The result of this work could be applied in different companies helping to improve decision-making ability of its managers. The results obtained in this research demonstrate its importance and usefulness. |
topic |
Evaluation Indicators Fuzzy Logic Project Programs Project |
url |
http://www.ijopm.org/index.php/IJOPM/article/view/205 |
work_keys_str_mv |
AT acandajoanni projectprogramevaluationmodelbasedonindicatorsandfuzzylogic AT izquierdoirania projectprogramevaluationmodelbasedonindicatorsandfuzzylogic AT arzajavier projectprogramevaluationmodelbasedonindicatorsandfuzzylogic AT pineropedroyobany projectprogramevaluationmodelbasedonindicatorsandfuzzylogic AT lugojosealejandro projectprogramevaluationmodelbasedonindicatorsandfuzzylogic |
_version_ |
1725148638038982656 |