@INPROCEEDINGS { Rsds3810,
author = {Kostek, Bozena}, 
title = {Rough Classification as a Tool for acoustical Analyses}, 
booktitle = {Soft Computing}, 
conference = {International Workshop on Rough Sets and Soft Computing}, 
pages = {81--84}, 
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 = {Some problems connected to the evaluation of acoustical parameters were presented. Musical timbre was given as an example of assessing musical sound quality using perceptual scaling methodology. Perceptual research has tried to determine which of acoustical parameters contributes to sound quality. Evaluation methods of musical sound quality of auditory halls were collected. A rough set-based algorithm was applied to the task of generation of reducts. A list of reducts representing strong data patterns was presented and the strongest rules were derived from that analysis. Performed experiments allowed one for the comparison of both methodology used in acoustics and the method based on rough set theory approach in application to the evaluation of room quality. Conclusions were also included.}, 
keywords = {computer-aided analysis, signal processing, decision-making, }, 
}