方法证据记录
Grey Clustering
Grey Clustering is a classification method from grey systems theory that assigns objects to predefined grey classes using whitenization weight functions. Developed within the framework of Deng Julong's grey system theory and systematized by Sifeng Liu, it is particularly suited for situations involving small sample sizes, incomplete information, or uncertain data—conditions common in engineering assessments, environmental monitoring, and socioeconomic evaluation. The method quantifies how strongly each object belongs to each grey class and makes a crisp assignment based on maximum clustering coefficients.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Grey Clustering (Grey Incidence / Whitenization)
分类方法记录 · ml-model / soft-computing
- Liu, S., & Lin, Y. (2010). Grey Systems: Theory and Applications. Springer. · ISBN 978-3-642-13937-6
精选声明
声明已持久化到证据分类账中,每个声明都有自己的评估。
尚无精选声明
当分类账中没有声明时,此视图不会自行创建声明评估。
相关方法
从方法图中生成,显示为机器建议的关系 — 不推断任何证据声明。