基于廣義歸納邏輯因果模型的知識發現與算法實現

Algorithm and Realization of KDD Based on the Generalized Inductive Logical Causal Model

摘要: 以語言場、廣義細胞自動機和廣義歸納邏輯因果模型為理論依據,分析了廣義因果聯系類知識的發現機理,給出了因果聯系類知識發現的實現算法.該算法為解決具有隨機不確定和模糊不確定性特征的因果聯系類知識的發現提供了行之有效的方法.通過算法的運行實例,驗證和說明了算法的正確性和有效性.

Abstract: Based on the fuzzy language field, generalized cell automation and generalized inductive logical causal model, the mechanism of causal relation knowledge discovery were studied, and an algorithm of KDD with causal rules was proposed. With this algorithm, the causal relation knowledge discovery with uncertainty of random and fuzzy can be done effectively. An example illustrate the correctness and effectiveness of the algorithm.