Computer algorithm for comparing and ordering models based on indicators and user value

Sometimes a list of models can be compared using a set of indicators, ordered by the user’s criterion, given that it is known whether the growth of the indicators value affect the user’s interests. This paper proposes a computational algorithm that compares models, assigning them a numerical value t...

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Main Authors: Adriel Alejandro Aliaga-Benavides, Yudisel Santana-Pacheco, Antonio Mustelier-Hechavarría, Yuniel Guzmán-Bazán
Format: Article
Language:English
Published: Universidad Pedagógica y Tecnológica de Colombia 2017-09-01
Series:Revista Facultad de Ingeniería
Subjects:
Online Access:http://revistas.uptc.edu.co/index.php/ingenieria/article/view/7318
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spelling doaj-0c6fbe922a234520acb02a2e87e31dd22020-11-24T21:13:49ZengUniversidad Pedagógica y Tecnológica de ColombiaRevista Facultad de Ingeniería0121-11292357-53282017-09-012646616910.19053/01211129.v26.n46.2017.73187318Computer algorithm for comparing and ordering models based on indicators and user valueAdriel Alejandro Aliaga-BenavidesYudisel Santana-PachecoAntonio Mustelier-HechavarríaYuniel Guzmán-BazánSometimes a list of models can be compared using a set of indicators, ordered by the user’s criterion, given that it is known whether the growth of the indicators value affect the user’s interests. This paper proposes a computational algorithm that compares models, assigning them a numerical value that corresponds to the priority given to each model indicator by the user. The proposed algorithm allows to rank the models as other known algorithms do, such as the vector space model; however, it takes into account user comparison priorities. When working with lineal functions, the margin of error in the algorithm calculations is null. The algorithm is validated by the software Ambiens v1.0, whose purpose is to manage the waste control information, showing relevant results in the comparison of models. The algorithm essence is the need to identify the best model of the group, according to the user’s criterion per indicator.http://revistas.uptc.edu.co/index.php/ingenieria/article/view/7318AlgorithmComparisonIndicatorsModelsOrdering
collection DOAJ
language English
format Article
sources DOAJ
author Adriel Alejandro Aliaga-Benavides
Yudisel Santana-Pacheco
Antonio Mustelier-Hechavarría
Yuniel Guzmán-Bazán
spellingShingle Adriel Alejandro Aliaga-Benavides
Yudisel Santana-Pacheco
Antonio Mustelier-Hechavarría
Yuniel Guzmán-Bazán
Computer algorithm for comparing and ordering models based on indicators and user value
Revista Facultad de Ingeniería
Algorithm
Comparison
Indicators
Models
Ordering
author_facet Adriel Alejandro Aliaga-Benavides
Yudisel Santana-Pacheco
Antonio Mustelier-Hechavarría
Yuniel Guzmán-Bazán
author_sort Adriel Alejandro Aliaga-Benavides
title Computer algorithm for comparing and ordering models based on indicators and user value
title_short Computer algorithm for comparing and ordering models based on indicators and user value
title_full Computer algorithm for comparing and ordering models based on indicators and user value
title_fullStr Computer algorithm for comparing and ordering models based on indicators and user value
title_full_unstemmed Computer algorithm for comparing and ordering models based on indicators and user value
title_sort computer algorithm for comparing and ordering models based on indicators and user value
publisher Universidad Pedagógica y Tecnológica de Colombia
series Revista Facultad de Ingeniería
issn 0121-1129
2357-5328
publishDate 2017-09-01
description Sometimes a list of models can be compared using a set of indicators, ordered by the user’s criterion, given that it is known whether the growth of the indicators value affect the user’s interests. This paper proposes a computational algorithm that compares models, assigning them a numerical value that corresponds to the priority given to each model indicator by the user. The proposed algorithm allows to rank the models as other known algorithms do, such as the vector space model; however, it takes into account user comparison priorities. When working with lineal functions, the margin of error in the algorithm calculations is null. The algorithm is validated by the software Ambiens v1.0, whose purpose is to manage the waste control information, showing relevant results in the comparison of models. The algorithm essence is the need to identify the best model of the group, according to the user’s criterion per indicator.
topic Algorithm
Comparison
Indicators
Models
Ordering
url http://revistas.uptc.edu.co/index.php/ingenieria/article/view/7318
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