An Adaptive ANP & ELECTRE IS-Based MCDM Model Using Quantitative Variables

The analytic network process (ANP) is a discrete multi-criteria decision-making (MCDM) method conceived as a generalization of the traditional analytic hierarchical process (AHP) to address its limitations. ANP allows the incorporation of interdependence and feedback relationships between the criter...

Full description

Bibliographic Details
Main Authors: Antonio J. Sánchez-Garrido, Ignacio J. Navarro, José García, Víctor Yepes
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/10/12/2009
_version_ 1797484719173009408
author Antonio J. Sánchez-Garrido
Ignacio J. Navarro
José García
Víctor Yepes
author_facet Antonio J. Sánchez-Garrido
Ignacio J. Navarro
José García
Víctor Yepes
author_sort Antonio J. Sánchez-Garrido
collection DOAJ
description The analytic network process (ANP) is a discrete multi-criteria decision-making (MCDM) method conceived as a generalization of the traditional analytic hierarchical process (AHP) to address its limitations. ANP allows the incorporation of interdependence and feedback relationships between the criteria and alternatives that make up the system. This implies much more complexity and intervention time, which reduces the expert’s ability to make accurate and consistent judgments. The present paper takes advantage of the usefulness of this methodology by formulating the model for exclusively quantitative variables, simplifying the decision problem by resulting in fewer paired comparisons. Seven sustainability-related criteria are used to determine, among four design alternatives for a building structure, which is the most sustainable over its life cycle. The results reveal that the number of questions required by the conventional AHP is reduced by 92%. The weights obtained between the AHP and ANP groups show significant variations of up to 71% in the relative standard deviation of some criteria. This sensitivity to subjectivity has been implemented by combining the ANP-ELECTRE IS methods, allowing the expert to reflect the view of the decision problem with greater flexibility and accuracy. The sensitivity of the results on different methods has been analyzed.
first_indexed 2024-03-09T23:08:27Z
format Article
id doaj.art-081f43a2e51d472fa9e910bd64cdbc0e
institution Directory Open Access Journal
issn 2227-7390
language English
last_indexed 2024-03-09T23:08:27Z
publishDate 2022-06-01
publisher MDPI AG
record_format Article
series Mathematics
spelling doaj.art-081f43a2e51d472fa9e910bd64cdbc0e2023-11-23T17:48:15ZengMDPI AGMathematics2227-73902022-06-011012200910.3390/math10122009An Adaptive ANP & ELECTRE IS-Based MCDM Model Using Quantitative VariablesAntonio J. Sánchez-Garrido0Ignacio J. Navarro1José García2Víctor Yepes3Department of Construction Engineering, Universitat Politècnica de València, 46022 Valencia, SpainDepartment of Construction Engineering, Universitat Politècnica de València, 46022 Valencia, SpainSchool of Construction and Transportation Engineering, Pontificia Universidad Católica de Valparaíso, Valparaíso 2362807, ChileInstitute of Concrete Science and Technology (ICITECH), Universitat Politècnica de València, 46022 Valencia, SpainThe analytic network process (ANP) is a discrete multi-criteria decision-making (MCDM) method conceived as a generalization of the traditional analytic hierarchical process (AHP) to address its limitations. ANP allows the incorporation of interdependence and feedback relationships between the criteria and alternatives that make up the system. This implies much more complexity and intervention time, which reduces the expert’s ability to make accurate and consistent judgments. The present paper takes advantage of the usefulness of this methodology by formulating the model for exclusively quantitative variables, simplifying the decision problem by resulting in fewer paired comparisons. Seven sustainability-related criteria are used to determine, among four design alternatives for a building structure, which is the most sustainable over its life cycle. The results reveal that the number of questions required by the conventional AHP is reduced by 92%. The weights obtained between the AHP and ANP groups show significant variations of up to 71% in the relative standard deviation of some criteria. This sensitivity to subjectivity has been implemented by combining the ANP-ELECTRE IS methods, allowing the expert to reflect the view of the decision problem with greater flexibility and accuracy. The sensitivity of the results on different methods has been analyzed.https://www.mdpi.com/2227-7390/10/12/2009multiple-criteria decision-makingsustainable designanalytic hierarchy processanalytic network processELECTRE ISlife cycle assessment
spellingShingle Antonio J. Sánchez-Garrido
Ignacio J. Navarro
José García
Víctor Yepes
An Adaptive ANP & ELECTRE IS-Based MCDM Model Using Quantitative Variables
Mathematics
multiple-criteria decision-making
sustainable design
analytic hierarchy process
analytic network process
ELECTRE IS
life cycle assessment
title An Adaptive ANP & ELECTRE IS-Based MCDM Model Using Quantitative Variables
title_full An Adaptive ANP & ELECTRE IS-Based MCDM Model Using Quantitative Variables
title_fullStr An Adaptive ANP & ELECTRE IS-Based MCDM Model Using Quantitative Variables
title_full_unstemmed An Adaptive ANP & ELECTRE IS-Based MCDM Model Using Quantitative Variables
title_short An Adaptive ANP & ELECTRE IS-Based MCDM Model Using Quantitative Variables
title_sort adaptive anp electre is based mcdm model using quantitative variables
topic multiple-criteria decision-making
sustainable design
analytic hierarchy process
analytic network process
ELECTRE IS
life cycle assessment
url https://www.mdpi.com/2227-7390/10/12/2009
work_keys_str_mv AT antoniojsanchezgarrido anadaptiveanpelectreisbasedmcdmmodelusingquantitativevariables
AT ignaciojnavarro anadaptiveanpelectreisbasedmcdmmodelusingquantitativevariables
AT josegarcia anadaptiveanpelectreisbasedmcdmmodelusingquantitativevariables
AT victoryepes anadaptiveanpelectreisbasedmcdmmodelusingquantitativevariables
AT antoniojsanchezgarrido adaptiveanpelectreisbasedmcdmmodelusingquantitativevariables
AT ignaciojnavarro adaptiveanpelectreisbasedmcdmmodelusingquantitativevariables
AT josegarcia adaptiveanpelectreisbasedmcdmmodelusingquantitativevariables
AT victoryepes adaptiveanpelectreisbasedmcdmmodelusingquantitativevariables