| 1. | Bayes network is a new inference and express method of uncertain knowledge
摘要贝叶斯网络是不确定性知识表达与推理的一种新方法。 |
| 2. | Rough set theory and fuzzy set theory are two different mathematical methods for represent the uncertain knowledge
粗糙集和模糊集是处理数据的两种不同的数学方法。 |
| 3. | Rough sets theory , an intelligent method for mining and processing imprecise and uncertain knowledge , has got great improvement
粗糙集（ roughsets ）理论是一门日益成熟起来的用于不精确，不确定知识挖掘与处理的重要智能技术方法。 |
| 4. | The bayesian network ( bn ) proposed by pearl is a new mechanism for uncertain knowledge representation based on probability theory and graph theory
贝叶斯网络( bayesiannetwork , bn )是pearl提出的一种基于概率论和图论的不确定知识表示模型。 |
| 5. | Evidence reasoning has perfect performance in expression of uncertain knowledge , which is the reason why it has been making great progress in theory and application in recent years
证据推理在不确定性知识表示方面具有优良的性能，这是近几年其理论和应用发展较快的原因。 |
| 6. | Aiming at the uncertain knowledge and information in the design scheme decision - making , a multi - targets and factors system level gray correlation analysis model was established
摘要针对设计方案决策中存在许多不确定的知识和信息问题，提出一种处理多层次、多因素客观信息的系统层次灰关联分析理论模型。 |
| 7. | Rough set theory was proposed by polish mathematician pawlak , which used to represent the uncertain knowledge . rough set theory has become a main method for kdd due to its unique advantage in knowledge discovery
粗糙集合是波兰数学家pawlak提出的一种对不确定性知识的表示方法，粗糙集合理论凭借其独特的优势而在kdd领域中具有越来越重要的地位。 |
| 8. | Rough sets theory is a new mathematical tool , which analyses the facts hiding in data without any additional knowledge about the data , and a pithily tool for processing vague , noisy and uncertain knowledge
粗糙集理论是一种新型的处理含糊和不确定性知识的数学工具,它能够分析隐藏在数据中的事实而不需要关于数据的任何附加知识,是处理含有噪声、不精确、不完整数据的有力工具。 |
| 9. | Be dead against to different field knowledge apply different inference strategy , apply different inference method to certain knowledge and uncertain knowledge , so make the design and evaluation inference more integrity
针对甘蔗收获机械设计与评价专家系统领域知识的不同特点应用不同的推理策略，针对甘蔗收获机械的确定性知识和不确定性知识应用不同的推理方法，使得对甘蔗收获机械设计与评价推理更加完整。 |
| 10. | The rough set theory was put forward by professor pawlak , poland university of science and technology , as a method to study the expression and learning of uncomplete or uncertain knowledge base . it was attached importance by many scholars around the world
Rough集(也称粗集)理论是由波兰华沙理工大学pawlak教授于20世纪80年代初提出的一种研究不完备、不确定知识库和数据的表达，学习，归纳的理论方法，近年来得到许多国际学者的重视。 |
