Improving Environmental Efficiency in Sustainable Design Architectures Based on Fuzzy Logic

This research work introduces a computational methodology designed to enhance environmental efficiency within sustainable architectural frameworks by leveraging fuzzy logic. The proposed model addresses critical challenges in modern urban planning, including energy conservation, water management, and waste reduction. By employing fuzzy rules, the model evaluates input variables such as energy consumption, water resource management, and waste minimization to achieve an optimized environmental efficiency outcome. The study demonstrates that fuzzy logic-based architectures can significantly contribute to sustainable urban development, ensuring ecological balance and promoting green architectural principles.