@INPROCEEDINGS { Rsds3791,
author = {Pawlak, Zdzislaw}, 
title = {Rough Sets Present State and Further Prospects}, 
booktitle = {Soft Computing}, 
conference = {International Workshop on Rough Sets and Soft Computing}, 
pages = {3--5}, 
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 rough set concept is a new mathematical tool to reason about vagueness and uncertainty in data analysis. The starting point of the rough set philosophy is the observation that objects, phenomena, process etc. sometimes cannot be distinguished due the lack of proper knowledge (information, data) about them. This indiscernibility relation caused by imperfect data leads to vagueness of concepts defined in terms of available information. The basic idea of the rough set theory is to replaced vague concepts by pairs of precise concepts, called their lower and upper approximation. Approximations are basic operations in the discussed approach. Present state of the rough set theory is outlined in the paper and some further problems concerning the theory and its applications are briefly discussed.}, 
keywords = {rough sets, fuzzy sets, imprecision, v vagueness, uncertainty, }, 
}