This paper mainly studies the rule acquisition and attribute reduction for formal decision context based on two new kinds of decision rules, namely I-decision rules and II-decision rules. The premises of these rules are object-oriented concepts, and the conclusions are formal concept and property-oriented concept respectively. The rule acquisition algorithms for I-decision rules and II-decision rules are presented. Some comparative analysis of these algorithms with the existing algorithms are examined which shows that the algorithms presented in this study behave well. The attribute reduction approaches to preserve I-decision rules and II-decision rules are presented by using discernibility matrix.

翻译：本文件主要根据两类新的决定规则,即I-决定规则和II-决定规则,研究正式决定背景的规则获取和属性减少,其依据是I-决定规则和II-决定规则。这些规则的前提是面向目标的概念,结论是分别正式的概念和面向财产的概念。提出了I-决定规则的规则获取算法和II-决定规则的规则获取算法。对这些算法与现有算法的一些比较分析进行了研究,这些分析表明,本研究报告提出的算法表现良好。利用可辨性矩阵,介绍了用于维护I-决定规则和II-决定规则的属性减少方法。