计算机应用 ›› 2015, Vol. 35 ›› Issue (1): 152-156.DOI: 10.11772/j.issn.1001-9081.2015.01.0152

• 人工智能 • 上一篇    下一篇

可拓模式判别模型及其应用

张海涛, 王斌君   

  1. 中国人民公安大学, 北京100038
  • 收稿日期:2014-08-05 修回日期:2014-09-10 出版日期:2015-01-01 发布日期:2015-01-26
  • 通讯作者: 张海涛
  • 作者简介:张海涛(1982-),男,山东青州人,博士研究生,主要研究方向:信息安全、计算机犯罪侦查;王斌君(1962-),男,陕西眉县人,教授,博士,主要研究方向:信息安全、计算机犯罪侦查.
  • 基金资助:

    中国人民公安大学博士生创新资金资助项目(2013LGX02).

Extension pattern distinguishing model and its application

ZHANG Haitao, WANG Binjun   

  1. People's Public Security University of China, Beijing 100038, China
  • Received:2014-08-05 Revised:2014-09-10 Online:2015-01-01 Published:2015-01-26

摘要:

针对事物可拓状态的识别问题,提出了一种可拓模式判别模型.首先,给出了可拓模式判别的定义;然后,分析了论域的静态划分与动态划分特性;其次,设计出可拓模式判别的一般框架,并给出了对判别结论进行质变与量变的量化处理公式;最后,利用提出的方案对实例的一般状态及可拓状态进行了判别.实验结果表明了该方案对对象可拓状态表达、分析与判别的可行性.模型能够有效地解决传统可拓模式分类器所无法解决的可拓性与状态变换的判别问题.

关键词: 物元模型, 关联函数, 可拓状态, 可拓变换, 模式判别

Abstract:

To solve the problem of extension state recognition, an extension pattern distinguishing model was proposed. First, an extension pattern distinguishing definition was built; second, the characteristics of both static state and dynamic state were analyzed for universe of discourse; furthermore, a general framework of extension pattern discrimination was designed, and the formulas to calculate the degree of quantitative change and qualitative change were given in the paper; finally, both general and extension states of a given case were distinguished by using the proposed method. The experimental results demonstrate the feasibility of the proposed model for expression, analysis and discrimination of extension state. The extension pattern distinguishing model can effectively solve the pattern recognition problem of extension and states transformation which is inextricable for traditional extension pattern classifiers.

Key words: matter-element, correlation function, extension state, extension transformation, pattern distinguishing

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