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山东大学学报(理学版) ›› 2014, Vol. 49 ›› Issue (08): 102-106.doi: 10.6040/j.issn.1671-9352.1.2014.217

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三元形式概念分析下的认知系统模型及信息粒转化方法

汤亚强, 范敏, 李金海   

  1. 昆明理工大学理学院, 云南 昆明 650500
  • 收稿日期:2014-06-02 修回日期:2014-07-08 发布日期:2014-09-24
  • 通讯作者: 范敏(1975-),女,副教授,研究方向为模糊集、粗糙集与概念格.E-mail:fanmin9412@sina.com E-mail:fanmin9412@sina.com
  • 作者简介:汤亚强(1991-),男,硕士研究生,研究方向为概念格与粗糙集.E-mail:yaqiangtang123@163.com
  • 基金资助:
    国家自然科学基金资助项目(61305057);昆明理工大学自然科学研究基金资助项目(14118760)

Cognitive system model and approach to transformation of information granules under triadic formal concept analysis

TANG Ya-qiang, FAN Min, LI Jin-hai   

  1. Faculty of Science, Kunming University of Science and Technology, Kunming 650500, Yunnan, China
  • Received:2014-06-02 Revised:2014-07-08 Published:2014-09-24

摘要: 研究三元形式概念分析下的认知系统模型,提出了充分信息粒、必要信息粒及充分必要信息粒等概念,并在给定“条件”下,建立了如何将任意信息粒转换为充分信息粒、必要信息粒和充分必要信息粒的有效方法。

关键词: 信息粒, 粒计算, 粒转换, 认知系统, 三元形式概念分析

Abstract: This study mainly focuses on cognitive system model in the framework of triadic formal concept analysis. More precisely, the notions of sufficient information granule, necessary information granule, and sufficient and necessary information granule are proposed. Also, methods of transforming arbitrary information granule into sufficient, necessary, and sufficient and necessary information granules are presented under the background of fixing the third dimension.

Key words: information granule, granule transformation, granular computing, cognitive system, triadic formal concept analysis

中图分类号: 

  • TP301
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