Abstract
As managers and fishery scientists become increasingly aware of the need to understand fishermens’ behaviour when faced with new management strategies, there is a growing need to develop models that describe their decision-making processes and tools that are able to simulate the possible outcomes of alternative management scenarios. This paper shows how data collected on board fishing vessels, a source of data currently available for many fleets and fisheries around the world, can be combined with Rule Based Fuzzy Cognitive Maps, a modelling technique that is able to deal with both quantitative and qualitative data. Results show that the presented model is able to replicate with a reasonably precision the behaviour of a pelagic fishery. Results and the potential of Rule-Based Fuzzy Cognitive Maps to predict fisher's behaviour are discussed.
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