谭旭,唐云岚,陈英武.基于粗糙集的烤烟烟叶智能分级方[J].农业机械学报,2009,40(6):169-174.
.Grading of Flue-cured Tobacco Leaves Based on Rough Set Theory[J].Transactions of the Chinese Society for Agricultural Machinery,2009,40(6):169-174.
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基于粗糙集的烤烟烟叶智能分级方   [下载全文]
Grading of Flue-cured Tobacco Leaves Based on Rough Set Theory   [Download Pdf][in English]
  
DOI:10.3969/j.issn.1000-1298.[year].[issue].[sequence]
中文关键词:  烤烟烟叶  分级  化学指标  粗糙集
基金项目:
谭旭  唐云岚  陈英武
深圳信息职业技术学院
中文摘要:针对烤烟烟叶的分级问题,提出了一种基于粗糙集理论的智能分级方法。为了适应烟叶分级的特点,将粗糙集理论予以扩展和改进,给出了相应的离散化和属性约简算法。同时构造了烟叶分组、分级的二级推理模型,以实现合理粒度的知识获取。通过烟叶的化学指标进行“部位”和“颜色”上的并行分组,可得到各自的推理规则以及影响指标和相应的重要度。在规则推理获得烟叶的分组后,借助所有化学指标的重要度进行多属性决策判定得到烟叶的分级。实验结果表明该方法有效可靠,并优于同类其他方法。
Key Words:
Abstract:Aiming at grading flue-cured tobacco leaves, an intelligent method based on rough set theory was proposed. Traditional rough set theory was generalized for the characteristics of flue-cured tobacco leaves’grading, and relevant algorithms of discretization and attribute reduction based on rough set theory were also given. In order to obtain knowledge with reasonable granularity, a two-level reasoning model that consists of grouping and grading was constructed. By parallel grouping according to leaves’positions and colors based on chemical compounds, inference rules and importance degree of each chemical compound can be obtained. Then, through multi-attribute evaluation found on the importance degree and the group inferred from the rules, final grade of the given flue-cured tobacco leaf was determined. Experiment results prove that this method is effective and credible, and has advantages over the previously proposed methods.

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

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