Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/111188
Title: Knowledge acquisition by random sets
Authors: Peng, X.T.
Wang, P. 
Kandel, A.
Issue Date: Mar-1996
Citation: Peng, X.T.,Wang, P.,Kandel, A. (1996-03). Knowledge acquisition by random sets. International Journal of Intelligent Systems 11 (3) : 113-147. ScholarBank@NUS Repository.
Abstract: In this article we investigate knowledge acquisition (KA) and its relationships to random sets. Based on random set theory, we develop some estimation theorems and procedures for set-valued statistics such as nonparametric estimators. Under random interval assumption, we establish some special possibility distributions that can be easily implemented in KA tools. The knowledge studied here are rules describing relationships between various concepts, as used in diagnosis (pattern recognition) expert systems. © 1996 John Wiley & Sons, Inc.
Source Title: International Journal of Intelligent Systems
URI: http://scholarbank.nus.edu.sg/handle/10635/111188
ISSN: 08848173
Appears in Collections:Staff Publications

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