Two-Level Fuzzy Comprehensive Evaluation (Eutrophication Assessment Case Study)

The two-level fuzzy comprehensive evaluation method, demonstrated through eutrophication assessment, is a hierarchical evaluation approach implemented in MATLAB. This methodology enables comprehensive assessment of complex subjects by integrating multiple influencing factors. The system architecture typically includes environmental parameters (such as nutrient concentrations and chlorophyll levels), economic indicators, and demographic factors, which are processed through fuzzy mathematical principles to address inter-factor correlations and better reflect real-world scenarios. Key implementation components include: - Factor weight determination using entropy weight method or analytic hierarchy process (AHP) - Membership function design for fuzzy set conversion of crisp inputs - Fuzzy relation matrix construction through appropriate operators - Multi-level synthesis algorithm for comprehensive evaluation results The MATLAB implementation utilizes built-in functions for matrix operations and custom algorithms for fuzzy inference, providing decision-makers with more accurate and comprehensive information. The code structure typically involves preprocessing modules for data normalization, core evaluation engines with fuzzy logic processing, and result visualization components for intuitive output interpretation. This approach significantly enhances decision-making quality in environmental management and resource allocation scenarios.