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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Main Authors: Acanda Joanni, Izquierdo Irania, Arza Javier, Piñero Pedro Yobany, Lugo José Alejandro
Format: Article
Language:English
Published: Universidad Nacional de Mar del Plata 2015-12-01
Series:Iberoamerican Journal of Project Management
Subjects:
Online Access:http://www.ijopm.org/index.php/IJOPM/article/view/205
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spelling 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
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AT izquierdoirania projectprogramevaluationmodelbasedonindicatorsandfuzzylogic
AT arzajavier projectprogramevaluationmodelbasedonindicatorsandfuzzylogic
AT pineropedroyobany projectprogramevaluationmodelbasedonindicatorsandfuzzylogic
AT lugojosealejandro projectprogramevaluationmodelbasedonindicatorsandfuzzylogic
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