Abstract
This paper proposes a land use allocation model which supports a decision of land use zoning based on a land suitability analysis. The model, employing the Hopfield neural network algorithm, optimizes allocation of land use under possible constraints. Since a zoning plan is not necessary to satisfy rigid constrains such as a proportion of land use, fuzzy constraint function with membership value are introduced in the model. The results show that this model is useful to provide a set of possible alternatives of land use allocation and it offers much flexible plans through fuzzy solutions.
