Agente para suporte à decisão multicritério em gestão pública participativa
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Data
2014-09-26
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Universidade Federal de Goiás
Resumo
Decision making in public management is associated with a high degree of complexity
due to insufficient financial resources to meet all the demands emanating from various
sectors of society. Often, economic activities are in conflict with social or environmental
causes. Another important aspect in decision making in public management is the inclusion of various stakeholders, eg public management experts, small business owners,
shopkeepers, teachers, representatives of social and professional classes, citizens etc. The
goal of this master thesis is to present two computational agents to aid decision making in
public management as part of ADGEPA project: Miner Agent (MA) and Agent Decision
Support (DSA). The MA uses data mining techniques and DSA uses multi-criteria analysis to point out relevant issues. The context in which this work fits is ADGEPA project.
The ADGEPA (which means Digital Assistant for Participatory Public Management) is
an innovative practice to support participatory decision making in public resources management. The main contribution of this master thesis is the ability to assist in the discovery
of patterns and correlations between environmental aspects that are not too obvious and
can vary from community to community. This contribution would help the public manager to make systemic decisions that in addition to attacking the main problem of a given
region would decrease or solve other problems. The validation of the results depends on
actual data and analysis of public managers. In this work, the data were simulated.
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Citação
AMORIM, Leonardo Afonso. Agente para suporte à decisão multicritério em gestão pública participativa. 2014. 87 f. Dissertação (Mestrado em Ciência da Computação) - Universidade Federal de Goiás, Goiânia, 2014.