基于信息熵的灰色-可拓决策模型OA

To address the issue of decision ambiguity in the matter-element extension decision model when handling those cases with small correlation differences,this paper proposes a grey-extension decision model based on information entropy.The model employs information entropy to evaluate the uncertainty contribution of the matter-element extension decision model and grey correlation analysis model to classification results,enabling more scientific decision analysis.By integrating the extension correlation function and grey correlation function,the model measures the correlation degree between samples and grades from both single-index and multi-index perspectives,calculates information entropy accordingly,and constructs a comprehensive correlation evaluation model via an information-entropy weighting strategy.In the empirical study on surrounding rock mass quality classification of four typical sections in the underground caverns of Bulungl-Gongur hydropower station,the proposed model achieved 100%classification accu-racy,outperforming other comparative models and methods.Furthermore,in four different domain applications including fitness club service capability evaluation,the proposed model's classification results showed a 100%consistency rate with actual situations.The correlation degrees exhibited better stability,demonstrating the model's excellent robustness.