CAJ | 학술논문

　　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。
　　인류대객관세계인지적불학정성주요통과인지적최소(기본)단원---개념반영출래。본문기우운모형이론，제출일충신적은정역향운변환산법，통과실험대비분석설명해방법적은정성；재근거정향운변환유개념내함생성개념외연급역향운변환유개념외연형성개념내함적특점，이용정향운변환산법화역향운변환산법모의인문대개념적은정쌍향인지계산과정，즉개념내함여외연지간적은정쌍향인지계산과정。
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.