ESCOLHA DE FINANCIAMENTO CORPORATIVO: Uma Abordagem Assistida por Técnicas de Tomada de Decisão
Authors
Henrique Alves Barbosa
Programa de Pós-Graduação em Engenharia Elétrica, Universidade Federal de Minas Gerais, Av. Antônio Carlos 6627, 31270-901, Belo Horizonte, MG, Brasil
André C. Batista
Departamento de Engenharia Elétrica, Operations Research and Complex Systems Laboratory (ORCS Lab.), Universidade Federal de Minas Gerais, Av. Antônio Carlos 6627, 31270-901, Belo Horizonte, MG, Brasil
Lucas S. Batista
Departamento de Engenharia Elétrica, Operations Research and Complex Systems Laboratory (ORCS Lab.), Universidade Federal de Minas Gerais, Av. Antônio Carlos 6627, 31270-901, Belo Horizonte, MG, Brasil
This study presents a model based on fuzzy logic to enhance financial decision-making, addressing economic instability with an integrated quantitative and qualitative approach. Through case studies involving three publicly traded companies, the proposed model applies fuzzy decision theory to evaluate various monetary capture strategies under diverse scenarios. The results indicate that the model provides adaptive solutions that reflect the preferences of decision-makers and market conditions.
