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

• Ano de defesa: 2014
• Autor(a) principal: Amarildo Martins de Magalhaes
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Minas Gerais; UFMG
• Palavras-chave em Português: Tomada de decisão; Gestão do conhecimento; Gestão da informação; Monitoramento de cursos superiores; Lógica difusa; Processo decisório; Ciência da informação
• Link de acesso: http://hdl.handle.net/1843/BUOS-9NFK2A

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.