摘要
人类对客观世界认知的不确定性主要通过认知的最小(基本)单元——概念反映出来.本文基于云模型理论,提出一种新的稳定逆向云变换算法,通过实验对比分析说明该方法的稳定性;再根据正向云变换由概念内涵生成概念外延及逆向云变换由概念外延形成概念内涵的特点,利用正向云变换算法和逆向云变换算法模拟人们对概念的稳定双向认知计算过程,即概念内涵与外延之间的稳定双向认知计算过程.
The uncertainty of human cognition for the objective world is mainly reflected by the basic unit of cognition, that is, concept. In this paper, based on the cloud model theory, a new stable backward cloud transformation algorithm is proposed firstly, and the stability of the method is illustrated by experimental comparison. Secondly, according to the characteristics of the transformation between the intension and extension of a concept, which is implemented by the forward cloud transformation and backward cloud transformation respectively, the stable bidirectional cognitive processes between intension and extension of concept are simulated by the forward cloud transformation algorithm and the backward cloud transformation algorithm.
出处
《模式识别与人工智能》
EI
CSCD
北大核心
2013年第7期634-642,共9页
Pattern Recognition and Artificial Intelligence
基金
国家自然科学基金项目(No.61073146
61272060)
计算智能重庆市重点实验室开放基金项目(No.CQ-LCI-2003-08)资助
关键词
云模型
正向云变换
逆向云变换
认知计算
Cloud Model, Forward Cloud Transformation, Backward Cloud Transformation, Cognitive Computation
