Bibliometric Study on Multicriteria Decision Analysis (MCDA) Applied to the Selection of Operational Means in a Military Environment
Procedia Computer Science, ISSN: 1877-0509, Vol: 242, Page: 821-828
2024
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- 4Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
Complex environments, conflicting criteria, uncertainties, and inaccurate information are common in many real-world decision problems. The Multicriteria Decision Analysis (MCDA) methodology plays a significant role in making decision-making processes more rational, efficient, and effective. In the military sphere, the Armed Forces of several countries have used MCDA methods to select operational means—means of transportation—that the Armed Forces have to carry out operations on the battlefield or in various operational scenarios, contributing to a more robust and informed approach to decision-making. This article aims to present a review of the literature on the main applications of MCDA in the selection of operative means. The methodology includes a bibliometric study and a bibliographic review of documents from the Scopus and Web of Science databases. The bibliometric study identified the types of documents, year of publication, H and G indexes of the most relevant journals and authors, authors’ publications, affiliation, clusters of keywords, area of knowledge, country, and main applications of the MCDA Methods in this area of research. Through this methodology, it was possible to identify that the Analytic Hierarchy Process (AHP) is the most applied MCDA method in the research area.
Bibliographic Details
Elsevier BV
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