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	Cloud Model-A Bidirectional Cognition Model between Concept's Extension and Intension
	Wang, Guoyin1,2,3; Xu, Changlin1,3
	2012
摘要	The expressing and processing of uncertain concepts is a fundamental problem in artificial intelligence. Several theoretical models have been proposed for solving this problem, such as probability theory, fuzzy sets, rough sets, cloud model, et al. Unfortunately, human deals with uncertain concepts based on words (concept intension), while computer based on sample set (concept extension). Many data mining and machine learning methods have been developed for extracting knowledge from data sets in recent years. These methods are unidirectional cognitive computing models from extension to intension. In this paper, a bidirectional cognitive computing model, cloud model, will be introduced. In the cloud model, forward cloud generator and backward cloud generator are designed for the bidirectional transformations between concept's intension and extension. Some experiment results will be discussed to show the validity and efficiency of cloud model for bidirectional cognitive computing. © Springer-Verlag Berlin Heidelberg 2012.
语种	英语
DOI	10.1007/978-3-642-35326-0_39
页码	391-400
通讯作者	Wang, G. (wanggy@ieee.org)
收录类别	EI