Applications of Rough Approximate Operators in the Possibility and Necessity of Pattern Classification

DENG Fang-an; LIU San-yang; XU Yang; YANG Lei

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Applications of Rough Approximate Operators in the Possibility and Necessity of Pattern Classification

更新时间：2025-07-16

- Applications of Rough Approximate Operators in the Possibility and Necessity of Pattern Classification
- Acta Electronica Sinica Vol. 32, Issue 4, Pages: 697-700(2004)
- 作者机构：
  
  1. 西南交通大学电气工程学院,四川,成都,610031
  2. 陕西理工学院数学与计算机科学系,陕西,汉中,723001
  3. 西安电子科技大学应用数学系,陕西,西安,710071
  4. 西南交通大学电气工程学院四川成都,610031
  5. 陕西理工学院数学与计算机科学系陕西汉中,723001
  6. 西安电子科技大学应用数学系陕西西安,710071
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP18
- Published：2004
- 稿件说明：
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DENG Fang-an, LIU San-yang, XU Yang, et al. Applications of Rough Approximate Operators in the Possibility and Necessity of Pattern Classification[J]. Acta Electronica Sinica, 2004, 32(4): 697-700.
DOI：

DENG Fang-an, LIU San-yang, XU Yang, et al. Applications of Rough Approximate Operators in the Possibility and Necessity of Pattern Classification[J]. Acta Electronica Sinica, 2004, 32(4): 697-700. DOI：

摘要

研究粗糙近似算子关于模式"二分法"的相关性质

描述了利用给定模式把模式空间划分成两组的模式分类的可能性和必然性

并设计了有边界区域的模式分类的可能性和必然性的粗糙神经网络算法.最后

用仿真实验验证了算法的有效性.

Abstract

In this paper

the properties of rough approximate operator for bisection method of pattern are discussed.The possibility and necessity of pattern classification by dividing pattern space into two decision areas using the given patterns are described.The rough neural networks algorithm of the possibility and necessity of the classification problem with boundary areas is designed.Finally

numerical examples are given to illustrate the efficiency of algorithm.

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