An integrated TOPSIS and fuzzy logic model for evaluating the rationality of sloping land use types in Bac Kan province

Abstract

This article uses an integrated model of fuzzy logic and technique for order of preference by similarity to ideal solution (TOPSIS) to evaluate the rationality of sloping land use types in Bac Kan province consisting of planted forests and cropland. Soil samples were taken at 30 locations in Ba Be, Bac Kan, and Na Ri districts on 12-13 January 2024 to analyze soil quality components to get soil quality data for an integrated model of TOPSIS and fuzzy logic. The integrated model has been evaluated objectively and reliably based on the proposed set of criteria, overcoming the limitation of consistency when determining the weight set and the permutation in the ranking results when used separately. 15 criteria to evaluate the rationality of sloping land use types in Bac Kan province are proposed with 11 criteria for environmental values, 2 criteria for economic values, and 2 criteria for social values. Model results prove that the most reasonable land use type for crops is intercropping cereal crops with Glycine max while the most reasonable land use type for forestation is the mixed wood forest with shrubs or legumes. The rankings have been verified by similarity with the opinions of many experts and authors studying sloping land in Vietnam. Thus, the model results can be used for planning purposes and to facilitate decision-making processes and tools in sustainable agriculture and forestry development in the sloping land of Bac Kan province.

Keywords

• criteria
• fuzzy logic
• rationality of slope land use
• topsis model