Binary Decision Support Using AHP: A Model for Alternative Analysis
Decision-making is a fundamental challenge in science and engineering, mainly when subjective factors influence the process. This paper introduces a decision support model based on the Analytic Hierarchy Process (AHP) that was specifically adapted for binary decisions and we term Binary AHP. The mod...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-05-01
|
| Series: | Algorithms |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1999-4893/18/6/320 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1839655071542935552 |
|---|---|
| author | Edvan Gomes da Silva Fernando Rocha Moreira Marcus Aurélio Carvalho Georg Rildo Ribeiro dos Santos Luiz Antônio Ribeiro Júnior Rafael Rabelo Nunes |
| author_facet | Edvan Gomes da Silva Fernando Rocha Moreira Marcus Aurélio Carvalho Georg Rildo Ribeiro dos Santos Luiz Antônio Ribeiro Júnior Rafael Rabelo Nunes |
| author_sort | Edvan Gomes da Silva |
| collection | DOAJ |
| description | Decision-making is a fundamental challenge in science and engineering, mainly when subjective factors influence the process. This paper introduces a decision support model based on the Analytic Hierarchy Process (AHP) that was specifically adapted for binary decisions and we term Binary AHP. The model facilitates structured decision-making when evaluating two opposing alternatives, such as yes/no scenarios. To demonstrate its applicability, we applied the Binary AHP model to a real-world case in the Brazilian public sector, where agencies must determine whether a technological solution qualifies as an Information and Communication Technology (ICT) solution. This classification is crucial since it directly impacts procurement policies and regulatory compliance. Our results show that Binary AHP enhanced the decision consistency, transparency, and reproducibility, and reduced the subjective discrepancies between the evaluators. Additionally, by inverting the priority vectors, the model allowed for a comparative analysis of both decision alternatives, thus offering more profound insights into the classification process. This study highlights the flexibility of AHP-based decision support methodologies and proposes a structured approach to refining binary decision frameworks in complex, multi-criteria environments. |
| format | Article |
| id | doaj-art-6f2c47dd292f4cd8b87f8980e17e3e24 |
| institution | Matheson Library |
| issn | 1999-4893 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Algorithms |
| spelling | doaj-art-6f2c47dd292f4cd8b87f8980e17e3e242025-06-25T13:21:19ZengMDPI AGAlgorithms1999-48932025-05-0118632010.3390/a18060320Binary Decision Support Using AHP: A Model for Alternative AnalysisEdvan Gomes da Silva0Fernando Rocha Moreira1Marcus Aurélio Carvalho Georg2Rildo Ribeiro dos Santos3Luiz Antônio Ribeiro Júnior4Rafael Rabelo Nunes5Professional Postgraduate Program in Electrical Engineering (PPEE), Department of Electrical Engineering, College of Technology, University of Brasília (UNB), Brasília 70910-900, Federal District, BrazilProfessional Postgraduate Program in Electrical Engineering (PPEE), Department of Electrical Engineering, College of Technology, University of Brasília (UNB), Brasília 70910-900, Federal District, BrazilProfessional Postgraduate Program in Electrical Engineering (PPEE), Department of Electrical Engineering, College of Technology, University of Brasília (UNB), Brasília 70910-900, Federal District, BrazilFaculty of Economics, Administration, Accounting, and Public Policy Management, Department of Administration, University of Brasília (UNB), Brasília 70910-900, Federal District, BrazilComputational Materials Laboratory, Computational Materials Science Laboratory (LCCMat), Institute of Physics, University of Brasilia (UNB), Brasília 70910-900, Federal District, BrazilProfessional Postgraduate Program in Electrical Engineering (PPEE), Department of Electrical Engineering, College of Technology, University of Brasília (UNB), Brasília 70910-900, Federal District, BrazilDecision-making is a fundamental challenge in science and engineering, mainly when subjective factors influence the process. This paper introduces a decision support model based on the Analytic Hierarchy Process (AHP) that was specifically adapted for binary decisions and we term Binary AHP. The model facilitates structured decision-making when evaluating two opposing alternatives, such as yes/no scenarios. To demonstrate its applicability, we applied the Binary AHP model to a real-world case in the Brazilian public sector, where agencies must determine whether a technological solution qualifies as an Information and Communication Technology (ICT) solution. This classification is crucial since it directly impacts procurement policies and regulatory compliance. Our results show that Binary AHP enhanced the decision consistency, transparency, and reproducibility, and reduced the subjective discrepancies between the evaluators. Additionally, by inverting the priority vectors, the model allowed for a comparative analysis of both decision alternatives, thus offering more profound insights into the classification process. This study highlights the flexibility of AHP-based decision support methodologies and proposes a structured approach to refining binary decision frameworks in complex, multi-criteria environments.https://www.mdpi.com/1999-4893/18/6/320AHP methodbinary decisionsmulti-criteria methodologies |
| spellingShingle | Edvan Gomes da Silva Fernando Rocha Moreira Marcus Aurélio Carvalho Georg Rildo Ribeiro dos Santos Luiz Antônio Ribeiro Júnior Rafael Rabelo Nunes Binary Decision Support Using AHP: A Model for Alternative Analysis Algorithms AHP method binary decisions multi-criteria methodologies |
| title | Binary Decision Support Using AHP: A Model for Alternative Analysis |
| title_full | Binary Decision Support Using AHP: A Model for Alternative Analysis |
| title_fullStr | Binary Decision Support Using AHP: A Model for Alternative Analysis |
| title_full_unstemmed | Binary Decision Support Using AHP: A Model for Alternative Analysis |
| title_short | Binary Decision Support Using AHP: A Model for Alternative Analysis |
| title_sort | binary decision support using ahp a model for alternative analysis |
| topic | AHP method binary decisions multi-criteria methodologies |
| url | https://www.mdpi.com/1999-4893/18/6/320 |
| work_keys_str_mv | AT edvangomesdasilva binarydecisionsupportusingahpamodelforalternativeanalysis AT fernandorochamoreira binarydecisionsupportusingahpamodelforalternativeanalysis AT marcusaureliocarvalhogeorg binarydecisionsupportusingahpamodelforalternativeanalysis AT rildoribeirodossantos binarydecisionsupportusingahpamodelforalternativeanalysis AT luizantonioribeirojunior binarydecisionsupportusingahpamodelforalternativeanalysis AT rafaelrabelonunes binarydecisionsupportusingahpamodelforalternativeanalysis |