Redução da incerteza no processo decisório por meio da lógica difusa: um modelo e protótipo para monitoramento de cursos superiores do IFMG

Detalhes bibliográficos
Ano de defesa: 2014
Autor(a) principal: Amarildo Martins de Magalhaes
Orientador(a): Não Informado pela instituição
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal de Minas Gerais
UFMG
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Link de acesso: http://hdl.handle.net/1843/BUOS-9NFK2A
Resumo: The expansion of the Federal Network of Technology and Education Rede Federal - EPCT by uniting institutions with different philosophies and ideologies, coupled with the lack of consensus on indicators of education and resistance to evaluation of performance, promote a complex scenario in decision-making about courses offered. Federal Institutes in such processes involve subjective aspects characterized by imprecision, vagueness and uncertainty. There is a need for methods to monitoring and evaluation these courses that consider the existing vague aspects in order to govern the decision-making process in these institutions in addition to the processes executed by the Standing Committee on Assessment. This research, through a qualitative applied research, develops a Model and Fuzzy Prototype (MPD), to improve the monitoring of higher education aiming to reduce the vagueness through fuzzy logic and hence the uncertainty in decision making. Information and Knowledge Management provides the theoretical framework of the research, through the processes of decision making and knowledge conversion. The work is divided into two phases, in the first, the MPD is developed abstractly and in the second, the MPD is validated through the case study of the Federal Institute de Minas Gerais (IFMG), in the problem of monitoring courses with process indicators. To obtain the results, the technique of content analysis by the method of categorical analysis was used. The prioritization of organizational processes through the architecture and organization of information provide the necessary framework for decision making. The prioritization of organizational processes through the architecture and organization of information generate an appropriate setting for decision making. The results show that the fuzzy logic, through the concept of approximate reasoning, improves decision making by allowing a analysis more aligned with vague aspects inherent to the problem.