A Mamdani fuzzy inference system with trapezoidal membership functions for investigating fishery production

Decision Analytics Journal, Journal Year: 2024, Volume and Issue: 11, P. 100481 - 100481

Published: May 18, 2024

Seas, marine ecosystems, and coastal regions are crucial components of our environment. Numerous scientific strategies have been adopted to boost fisheries aquaculture productivity. This study proposes a fuzzy-logic-based model produce in India, which ranks fourth worldwide for production. Five input variables, such as fish seed, export, post-harvesting, released fund, temperature, considered inputs, the production is taken output variable. A Mamdani-type fuzzy inference system with trapezoidal membership functions prepared 243 rules IF-THEN format. mathematical investigates impacts parameters on Indian fisheries. We fit real-world data show that post-harvesting facilities positively impact However, very high temperature unsuitable production, even if all other lie at their desired level.

Language: Английский

A novel lift adjustment methodology for improving association rule interpretation

Decision Analytics Journal, Journal Year: 2025, Volume and Issue: unknown, P. 100582 - 100582

Published: April 1, 2025

Language: Английский