Seas, marine ecosystems, and coastal regions are crucial components of our environment. To boost fisheries and aquaculture productivity, numerous scientific strategies have been used. A fuzzy-logic-based model is created in the current effort to produce fisheries in India, which ranks fourth in the world for fisheries production. Five input variables, such as fish seed, export, post harvesting, released fund, and temperature, are considered as inputs, and the production of fisheries is taken as the output variable. A Mamdani-type fuzzy inference system with trapezoidal membership functions is prepared with 243 rules in the IF-THEN format. This mathematical model investigates the impacts of input parameters on the production of Indian fisheries. From the system, we observed that fish seed, export, released fund, and post-harvesting facilities positively impact fisheries production. However, a very high temperature is not suitable for high production, even if all other parameters lie at their desired level. Lastly, we have fitted the model with real-world data.