Grey Relational Coefficient-based Fuzzy Analytic Hierarchy Process with MATLAB Implementation
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Resource Overview
A comprehensive decision-making methodology integrating grey relational coefficients with fuzzy analytic hierarchy process. Implemented in MATLAB for practical applications, featuring efficient computational algorithms and user-friendly code structure.
Detailed Documentation
The Grey Relational Coefficient-based Fuzzy Analytic Hierarchy Process is an advanced decision analysis methodology that synergistically combines fuzzy set theory, analytic hierarchy process (AHP), and grey relational analysis. This integrated approach effectively handles complex decision-making problems with enhanced feasibility and practical applicability. The MATLAB implementation employs key functions including fuzzification of pairwise comparison matrices, consistency ratio validation, grey relational degree calculation, and weight aggregation algorithms. The code architecture simplifies computational procedures through matrix operations and iterative optimization, significantly improving processing efficiency while maintaining mathematical rigor. This robust implementation has gained widespread adoption in real-world applications across various domains including engineering management, economic evaluation, and risk assessment scenarios.
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