摘要
粒化是人类认识的基础概念之一,粒化是整体分解成部分。空间信息粒、粒的属性及其取值是人类粒化及处理空间信息的特点。模糊信息粒化理论正是受人类粒化信息的特点并据此进行推理而启发。该理论的出发点是广义约束概念。在TFIG中,主要的广义化方法有:模糊化(f-广义化)、粒化(g-广义化)以及这两种方式的结合模糊粒化(f,g-广义)。f,g-广义化使其与其它处理不确定性的方法相区别。本文着重就模糊信息理论在空间信息系统的不确定性的刻画、语义提取及语义共享、词语计算等方面的应用上进行了探讨。文章最后指出该理论等软计算方法是空间信息系统实现柔性化、智能化目标的一种工具。
On the basis of our realization to the world,granulation is one of the basic concepts. It refers to the whole divides into the parts. Information granulation has a key role in many methods and technical domains. The spatial information in our brain and information granules for spatial reference is fuzzy. Spatial information granules,its attributes and values are the characters of man's granulation and handling the spatial information. Theory of fuzzy information granulation(TFIG) is elicited by man's information granulation method and based this to infer. The start point of TFIG is extending constrain concept . A granule is depicted by its extending constrain. The extending constrain methods in TFIG are fuzzy, granulation and the joint of this two aspects etc. This article studies the theory's position in spatial information system, mainly talks about the aspects of indeterminate depicted, semantic abstracted and shares, and computing with words. At the end, the article points out that TFIG is an important tool on spatial information system to its flexible and intellectual target.
出处
《测绘与空间地理信息》
2004年第3期14-16,共3页
Geomatics & Spatial Information Technology
