Expert Decision System of Soybean Diseases Based on Interval-valued Fuzzy Theory
Liang Tong · Xi'nan nongye xuebao · 2011
Aiming at randomness,fuzziness,and incompleteness of the crop disease information,a practical diagnosis model that was close to expression by natural language was built using matching method based on space distance and core angle.Simulation examples showed that the interval-valued fuzzy soybean diagnosis model and the matching method could effectively complete the diagnosis when the information was undulatory and had the reasonable diagnosis results.Moreover,the system had simple,practical and intelligent features.