@INPROCEEDINGS { Rsds3808,
author = {Hashemi, Ray R. and Pearce, Bruce A. and Hinson, William G. and Paule, Merle G. and Young, John F.}, 
title = {IQ Estimation of Monkeys Based on Human Data Using Rough Sets}, 
booktitle = {Soft Computing}, 
conference = {International Workshop on Rough Sets and Soft Computing}, 
pages = {73--76}, 
publisher = {The Society for Computer Simulation}, 
address = {San Diego, U.S.A.}, 
month = {November}, 
year = 1994, 
editor = {Lin, Tsau Young and Wildberger, A.M.}, 
isbn = {1-56555-077-3}, 
abstract = {The National Centre for Toxicological Research utilizes primate subjects in studies where behavioural characteristic are measured as part of the study endpoint. One parameter that is beneficial to determine in each monkey is the IQ. In this paper, we have used Rough Sets (RS) and Modified Rough Sets (MRS) to estimate the IQ of monkeys based on human data. To do sp, we have generated global rules from human data by using both RS and MRS. The validity of these rules were tested and then used to estimate the IQ of monkeys. The estimation (prediction) capability of these approaches is much better than the prediction capability of the statistical approach of Discriminant Analysis. Also, the validity of the model was established.}, 
keywords = {science, rough sets, model design, model testing, validation, }, 
}