Decision making in fisheries management takes place in the risk environment having different nature: weather conditions, anthropogenic factors, epidemiological hazards, industrial or information problems. The urgent priority of informatization in the field of fisheries management is the development of mathematical models for decision support systems. The authors proposed a mathematical model for choosing an optimal strategy of the producer behavior of in the field of fisheries management and a fuzzy model of information risk analysis for processing information in information systems. The authors constructed the functions of fuzzy variables “risk degree”, “damage degree”, “threat level”, which are based on the expert data. To evaluate the usefulness of decisions, selection rules are united by various criteria convolutions. The research results have an applied nature and can be used in developments related to the designing information systems, decision support systems for the fishing industry. The presented methods and procedures may be used for the solution of practical tasks.