Integrating Qualitative and Quantitative Methods to Evaluate Performance of the Brazilian Network for Continuous Global Navigation Satellite System (GNSS) Monitoring (RBMC)

Authors

DOI:

https://doi.org/10.11137/1982-3908_2022_45_48250

Keywords:

Efficiency, Cognitive mapping, Data envelopment analysis

Abstract

We discuss a qualitative analysis of the efficiency of the Brazilian Network for Continuous Global Navigation Satellite System Monitoring (RBMC) using the Complex Holographic Assessment of Paradoxical Problems method (CHAP²), whose premise is the organization of intersubjectivity facilitated by the use of visual representation of structured knowledge (conceptual mapping) to increase the degree of consciousness to manage the paradoxes resulting from the complexity of living systems. We also describe a quantitative evaluation using Data Envelopment Analysis (DEA) allowing a ranking in terms of efficiency for further assessment by a professional of the area. The outcome of this study would be useful for IBGE (Brazilian Institute of Geography and Statistics) managers to be aware, for instance, of the suppliers and manufacturers of equipment available (receiver and geodetic antenna, Internet connection and constant supply of electricity) in efficient and ineffective stations, to guide new acquisitions, among other applications. 

Author Biographies

Sergio Orlando Antoun Netto, Rio de Janeiro State University

Possui Graduação em Engenharia Cartográfica pela Universidade do Estado do Rio de Janeiro (1987), Mestrado em Engenharia de Computação, com ênfase em Geomática, pela Universidade do Estado do Rio de Janeiro (2008) e Doutorado em Engenharia de Produção pela COPPE/UFRJ (2012). Atualmente é Professor Adjunto da Faculdade de Engenharia da UERJ e Professor Convidado do Programa de Pós-Graduação em Engenharia Ambiental (PEAMB) da UERJ . Tem experiência nas áreas de Topografia e de Tecnologia da Informação, com ênfase em Geomática, atuando principalmente nos seguintes temas: Geomatica, Sistema de Suporte à Decisão, Lógica Fuzzy, Análise Envoltória de Dados, Mineração de Dados e Apoio Multicritério à Decisão. Membro do Grupo de Pesquisa do CNPq Multimetodologia Sistêmica e Analítica da COPPE/UFRJ.

Bruna Quintan Fortunato, Universidade do Estado do Rio de Janeiro (UERJ)

Graduado em Engenharia Cartográfica pela Universidade do Estado do Rio de Janeiro (UERJ)

André Geffer Bonato, Universidade do Estado do Rio de Janeiro (UERJ)

Graduado em Engenharia Cartográfica pela Universidade do Estado do Rio de Janeiro (UERJ)

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Published

2022-12-26

Issue

Vol. 45 (2022)

Section

Environmental Sciences

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