0.618减法邻联系数及其应用OA

The subtraction of various degrees of connection in the subtractive full neighbor connection number easily led to unstable trends and consequently induced numerical biases:To overcome this limita-tion,the concept of 0.618 golden section optimization was integrated.Based on the macroevolutionary trend of ternary connection number being positive(a>c)or negative(a<c),corresponding neighborh connection numbers were selected,and the subtraction interval was narrowed to reduce errors.Inspired by the driving coefficient,the 0.618 subtractive full neighbor connection number was constructed.Fur-thermore,leveraging the gradient ascent method and quasi-Newton method with the Lagrange conditional extremum,the value range of the 0.618 subtractive FCN was explored,and its development trend was analyzed.This approach was then applied to evaluate the water resources carrying capacity of the Yangtze River Economic Belt from 2009 to 2018.The results indicated that this method shared a similar trend with the subtractive FCN but exhibited a more stable fluctuation state and a closer negative correlation with the grade values of evaluation samples.This not only validated the effectiveness of the proposed method but also provided a novel approach for multi-attribute evaluations.