Complexidade natural de sistemas com base em análise de sensibilidade
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2020-09-30
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Universidade Federal de Goiás
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This work proposes a methodology for analyzing systems based on a particular measure of complexity, called the natural complexity of the system. This measure corresponds to the proper level of complexity of each system, characterized by the region of optimized configurations. Given the optimal or optimized solution, the sensitivity analysis is performed to define the impact generated at the output of the system due to variations in the input parameters. The proposed methodology comprises: i) sensitivity analysis metrics, ii) system complexity metrics based on weighted connections, iii) analysis of the system using natural complexity as a reference and iv) development of models for application of the methodology. The complexity metric uses the sensitivity indices of the parameters to define the relevance values of the connections, in order to establish a relationship between the parties and the whole. The results point to the complexity metric as a mechanism for synthesizing the configuration, arrangement, performance and workload of the system in a single measure. Regarding the measure of natural complexity, it may be used as a reference of the desired level of complexity, since it was significantly different from the measures obtained under overload or idle conditions. Thus the natural complexity may correspond to the minimum complexity value of the system in regular activity. The proposed complexity metric strengthened the assertion that every system exhibits some level of complexity. Thus, it may be said that complexity is the totality of the system in interaction, with its own internal dynamics and its own environmental flows.
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GOMES, V. M. Complexidade natural de sistemas com base em análise de sensibilidade. 2020. 183 f. Tese (Doutorado em Engenharia Elétrica e da Computação) - Universidade Federal de Goiás, Goiânia, 2020.