Evaluation of Deterministic and Complex Analytical Hierarchy Process Methods for Agricultural Land Suitability Analysis in a Changing Climate

摘要: Land suitability analysis is employed to evaluate the appropriateness of land for a particular purpose whilst integrating both qualitative and quantitative inputs, which can be continuous in nature. However, agricultural modelling there often disregard this contiguous aspect. Therefore, some parametric procedures compartmentalise units into defined membership classes. This imposition crisp boundaries neglects formations found throughout nature overlooks differences inherent uncertainties modelling. research will compare two approaches over three differing methods. The primary approach use an Analytical Hierarchy Process (AHP), while other Fuzzy AHP methods; Fitted Nested AHP. Secondary this, each method assessed how it behaves climate change scenario understand highlight role model conceptualisation structure. Outputs comparisons between method, relation area, proportion classes spatial representation, showed that fuzzy techniques detailed more robust output. In was concluded pertinent, as incorporated complex techniques, well initial framework. Through comparison assessment behaviour, evaluation methods predictive capacity relevance decision-making purposes applications gained.