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计算机工程 ›› 2007, Vol. 33 ›› Issue (15): 211-213. doi: 10.3969/j.issn.1000-3428.2007.15.075

• 人工智能及识别技术 • 上一篇    下一篇

基于VPRS的渔场老化风险规则挖掘

顾沈明,王贤恩,刘 军   

  1. (浙江海洋学院信息学院,舟山 316004)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-08-05 发布日期:2007-08-05

Risk Rules Mining of Aged Culture Based on VPRS

GU Shen-ming, WANG Xian-en, LIU Jun   

  1. (Information College, Zhejiang Ocean University, Zhoushan 316004)
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-08-05 Published:2007-08-05

摘要: 在研究如何更好地开发利用网箱渔场的过程中,人们已经认识到污染所引起的环境风险和其他影响因子。对于网箱渔场的风险评估,粗糙集理论是一种数据推理的有力工具。文章介绍了利用变精度粗糙集进行风险规则挖掘的一种方法。论述了Pawlak粗糙集和变精度粗糙集的有关概念,量化描述了渔业环境中老化程度和风险等级,给出了基于精度粗糙集的网箱渔场老化风险规则的挖掘方法。

关键词: 粗糙集, 变精度粗糙集, 风险规则

Abstract: For sustainable development of cage culture, the environmental risk and main affecting factors are revealed based on the pollution characteristics. For evaluation of the risk in aged cage culture areas, rough set theory is emerging as a powerful tool for reasoning about data. This paper introduces a method for mining risk rules using variable precision rough set(VPRS) model. It presents concepts about Pawlak rough set and variable precision rough set, describes the aging degree and risk grade quantitatively according to the standards about fishery environment. A method for risk rules mining in aged cage culture based on variable precision rough set is given.

Key words: rough set, variable precision rough set (VPRS), risk rule

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