Methods for Weighting Decisions to Assist Modelers and Decision Analysists: A Review of Ratio Assignment and Approximate Techniques

Computational models and simulations often involve representations of decision-making processes. Numerous methods exist for representing decision-making at varied resolution levels based on the objectives of the simulation and the desired level of fidelity for validation. Decision making relies on t...

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Autores principales:	Barry Ezell, Christopher J. Lynch, Patrick T. Hester
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	multi-criteria decision making multi-criteria decision analysis attribute weighting MCDM MCDA Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/a213e0c584a249beb65bd67a9ab1316c
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spelling	oai:doaj.org-article:a213e0c584a249beb65bd67a9ab1316c2021-11-11T15:23:58ZMethods for Weighting Decisions to Assist Modelers and Decision Analysists: A Review of Ratio Assignment and Approximate Techniques10.3390/app1121103972076-3417https://doaj.org/article/a213e0c584a249beb65bd67a9ab1316c2021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/21/10397https://doaj.org/toc/2076-3417Computational models and simulations often involve representations of decision-making processes. Numerous methods exist for representing decision-making at varied resolution levels based on the objectives of the simulation and the desired level of fidelity for validation. Decision making relies on the type of decision and the criteria that is appropriate for making the decision; therefore, decision makers can reach unique decisions that meet their own needs given the same information. Accounting for personalized weighting scales can help to reflect a more realistic state for a modeled system. To this end, this article reviews and summarizes eight multi-criteria decision analysis (MCDA) techniques that serve as options for reaching unique decisions based on personally and individually ranked criteria. These techniques are organized into a taxonomy of ratio assignment and approximate techniques, and the strengths and limitations of each are explored. We compare these techniques potential uses across the Agent-Based Modeling (ABM), System Dynamics (SD), and Discrete Event Simulation (DES) modeling paradigms to inform current researchers, students, and practitioners on the state-of-the-art and to enable new researchers to utilize methods for modeling multi-criteria decisions.Barry EzellChristopher J. LynchPatrick T. HesterMDPI AGarticlemulti-criteria decision makingmulti-criteria decision analysisattribute weightingMCDMMCDATechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10397, p 10397 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	multi-criteria decision making multi-criteria decision analysis attribute weighting MCDM MCDA Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
spellingShingle	multi-criteria decision making multi-criteria decision analysis attribute weighting MCDM MCDA Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Barry Ezell Christopher J. Lynch Patrick T. Hester Methods for Weighting Decisions to Assist Modelers and Decision Analysists: A Review of Ratio Assignment and Approximate Techniques
description	Computational models and simulations often involve representations of decision-making processes. Numerous methods exist for representing decision-making at varied resolution levels based on the objectives of the simulation and the desired level of fidelity for validation. Decision making relies on the type of decision and the criteria that is appropriate for making the decision; therefore, decision makers can reach unique decisions that meet their own needs given the same information. Accounting for personalized weighting scales can help to reflect a more realistic state for a modeled system. To this end, this article reviews and summarizes eight multi-criteria decision analysis (MCDA) techniques that serve as options for reaching unique decisions based on personally and individually ranked criteria. These techniques are organized into a taxonomy of ratio assignment and approximate techniques, and the strengths and limitations of each are explored. We compare these techniques potential uses across the Agent-Based Modeling (ABM), System Dynamics (SD), and Discrete Event Simulation (DES) modeling paradigms to inform current researchers, students, and practitioners on the state-of-the-art and to enable new researchers to utilize methods for modeling multi-criteria decisions.
format	article
author	Barry Ezell Christopher J. Lynch Patrick T. Hester
author_facet	Barry Ezell Christopher J. Lynch Patrick T. Hester
author_sort	Barry Ezell
title	Methods for Weighting Decisions to Assist Modelers and Decision Analysists: A Review of Ratio Assignment and Approximate Techniques
title_short	Methods for Weighting Decisions to Assist Modelers and Decision Analysists: A Review of Ratio Assignment and Approximate Techniques
title_full	Methods for Weighting Decisions to Assist Modelers and Decision Analysists: A Review of Ratio Assignment and Approximate Techniques
title_fullStr	Methods for Weighting Decisions to Assist Modelers and Decision Analysists: A Review of Ratio Assignment and Approximate Techniques
title_full_unstemmed	Methods for Weighting Decisions to Assist Modelers and Decision Analysists: A Review of Ratio Assignment and Approximate Techniques
title_sort	methods for weighting decisions to assist modelers and decision analysists: a review of ratio assignment and approximate techniques
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/a213e0c584a249beb65bd67a9ab1316c
work_keys_str_mv	AT barryezell methodsforweightingdecisionstoassistmodelersanddecisionanalysistsareviewofratioassignmentandapproximatetechniques AT christopherjlynch methodsforweightingdecisionstoassistmodelersanddecisionanalysistsareviewofratioassignmentandapproximatetechniques AT patrickthester methodsforweightingdecisionstoassistmodelersanddecisionanalysistsareviewofratioassignmentandapproximatetechniques
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Methods for Weighting Decisions to Assist Modelers and Decision Analysists: A Review of Ratio Assignment and Approximate Techniques

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