LAPSE:2023.11254
Published Article

LAPSE:2023.11254
SAPEVO-H² a Multi-Criteria Systematic Based on a Hierarchical Structure: Decision-Making Analysis for Assessing Anti-RPAS Strategies in Sensing Environments
February 27, 2023
Abstract
Regarding high-level and complex decision-making scenarios, the study presents an extensive approach to the Simple Aggregation of Preferences Expressed by Ordinal Vectors-Multi Decision Making method (SAPEVO-M). In this context, the modeling proposal, named SAPEVO-Hybrid and Hierarchical (SAPEVO-H²), the objective of this study, based on the concepts of multi-criteria analysis, provides the evaluation of alternatives under the light of multiple criteria and perceptions, enabling the integration of the objectives of a problem, which are transcribed into attributes and structured in a hierarchical model, analyzing qualitative and quantitative data through ordinal and cardinal entries, respectively. As a case study, a decision analysis concerning the defense strategies against anti-Remotely Piloted Aircraft Systems (RPAS) strategies for the Brazilian Navy is carried out. Using the technique of the causal maps approach based on Strategic Options Development and Analysis (SODA) methodology, the problematic situation is structured for numerical implementation, demonstrating the performance of objectives and elements of a hierarchical structure. As a result, rankings concerning objectives and anti-RPAS technologies, based on the treatment of subjective information, are presented. In the end, the main contribution of the study and its limitations are discussed, along with the conclusions and some proposals for future studies.
Regarding high-level and complex decision-making scenarios, the study presents an extensive approach to the Simple Aggregation of Preferences Expressed by Ordinal Vectors-Multi Decision Making method (SAPEVO-M). In this context, the modeling proposal, named SAPEVO-Hybrid and Hierarchical (SAPEVO-H²), the objective of this study, based on the concepts of multi-criteria analysis, provides the evaluation of alternatives under the light of multiple criteria and perceptions, enabling the integration of the objectives of a problem, which are transcribed into attributes and structured in a hierarchical model, analyzing qualitative and quantitative data through ordinal and cardinal entries, respectively. As a case study, a decision analysis concerning the defense strategies against anti-Remotely Piloted Aircraft Systems (RPAS) strategies for the Brazilian Navy is carried out. Using the technique of the causal maps approach based on Strategic Options Development and Analysis (SODA) methodology, the problematic situation is structured for numerical implementation, demonstrating the performance of objectives and elements of a hierarchical structure. As a result, rankings concerning objectives and anti-RPAS technologies, based on the treatment of subjective information, are presented. In the end, the main contribution of the study and its limitations are discussed, along with the conclusions and some proposals for future studies.
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Keywords
anti-RPAS strategies, hierarchical model, multi-criteria, SAPEVO-M method
Subject
Suggested Citation
Moreira MÂL, Silva FCA, de Araújo Costa IP, Gomes CFS, Santos MD. SAPEVO-H² a Multi-Criteria Systematic Based on a Hierarchical Structure: Decision-Making Analysis for Assessing Anti-RPAS Strategies in Sensing Environments. (2023). LAPSE:2023.11254
Author Affiliations
Moreira MÂL: Production Engineering Department, Federal Fluminense University, Rio de Janeiro 24210-240, Brazil; Operational Research Department, Naval Systems Analysis Centre, Rio de Janeiro 20091-000, Brazil [ORCID]
Silva FCA: Production Engineering Department, Federal Fluminense University, Rio de Janeiro 24210-240, Brazil
de Araújo Costa IP: Production Engineering Department, Federal Fluminense University, Rio de Janeiro 24210-240, Brazil; Operational Research Department, Naval Systems Analysis Centre, Rio de Janeiro 20091-000, Brazil [ORCID]
Gomes CFS: Production Engineering Department, Federal Fluminense University, Rio de Janeiro 24210-240, Brazil [ORCID]
Santos MD: Operational Research Department, Naval Systems Analysis Centre, Rio de Janeiro 20091-000, Brazil; Systems and Computing Department, Military Institute of Engineering, Rio de Janeiro 22290-270, Brazil [ORCID]
Silva FCA: Production Engineering Department, Federal Fluminense University, Rio de Janeiro 24210-240, Brazil
de Araújo Costa IP: Production Engineering Department, Federal Fluminense University, Rio de Janeiro 24210-240, Brazil; Operational Research Department, Naval Systems Analysis Centre, Rio de Janeiro 20091-000, Brazil [ORCID]
Gomes CFS: Production Engineering Department, Federal Fluminense University, Rio de Janeiro 24210-240, Brazil [ORCID]
Santos MD: Operational Research Department, Naval Systems Analysis Centre, Rio de Janeiro 20091-000, Brazil; Systems and Computing Department, Military Institute of Engineering, Rio de Janeiro 22290-270, Brazil [ORCID]
Journal Name
Processes
Volume
11
Issue
2
First Page
352
Year
2023
Publication Date
2023-01-22
ISSN
2227-9717
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Original Submission
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PII: pr11020352, Publication Type: Journal Article
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LAPSE:2023.11254
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https://doi.org/10.3390/pr11020352
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Feb 27, 2023
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Feb 27, 2023
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