【摘要】 在基于粗糙集理论的数据处理与决策分析的基础上,从实际应用的角度出发,提出了面向个性化知识发现的启发式算法。从理论上证明了算法的正确性,给出了面向个性化的知识获取算法的描述,分析了算法的性能。算法的关键在于规则合成的方法和可信度、覆盖度和规则强度计算的方法。通过例子说明了算法的有效性和实用性。更多还原

【Abstract】 A heuristic algorithm for personalized knowledge discovery based on the rough set theory and descriptive knowledge discovery is presented.The correctness of the algorithm is proved in theory,the algorithms of extracting personalized knowledge are described and the performance of the algorithms is analyzed.The main parts of the algorithm are how to compose rule,how to calculate certainty factor,coverage factor and the strength of the decision rule.At last,the efficiency and practicability of the algorithm is illustrated by the example in this paper.更多还原