Application of a control system based on fuzzy logic to the management of fisheries resources

• Autor(a) principal: Quinteiro, Marta Mosquera
• Data de Publicação: 2011
• Tipo de documento: Dissertação
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10400.1/3762
• topic: Pescas; Gestão das pescas; Lógica difusa; Conjuntos difusos

The overfishing and depletion of the fishing stocks motivated the use of management strategy evaluation and management procedures, in order to keep the fish stock above a healthy level while maintaining high catches. The management procedure consists of an operating model and a harvest control rule (HCR), and its performance is related to the chosen reference points, the stock assessment procedures and the monitoring regime. Fuzzy set theory was used because it provides a natural way to deal with imprecision in the definition of a group, providing balanced results when applied to HCR. The aim of this work is to compare the performance of 2 classic harvest control rules and their translation into fuzzy logic. To achieve this goal a fish stock was built as well as a fishery and stock assessment, and 60-year projections were performed, with and without variability, resulting in a general improvement in the stock health and in mean yields.