@INPROCEEDINGS { Rsds3523,
author = {Wroblewski, Jakub and Synak, Piotr and Skowron, Andrzej and Polkowski, Lech T. and Nguyen, Sinh Hoa}, 
title = {Searching for Approximate Description of Decision Classes}, 
booktitle = {Proceedings of the Fourth International Workshop on Rough Sets, Fuzzy Sets, and Machine Discovery}, 
conference = {International Workshop on Rough Sets, Fuzzy Sets, and Machine Discovery}, 
pages = {153--161}, 
publisher = {Japanese Research Group on Rough Sets}, 
address = {Tokyo, Japan}, 
month = {November}, 
year = 1996, 
editor = {Tsumoto, Shusaku and Kobayashi, Satoshi and Yokomori, Takashi and Tanaka, Hiroshi and Nakamura, Akira}, 
isbn = {4-947717-01-7}, 
abstract = {We discuss a searching method for synthesis of approximate description of decision classes in large data tables (decision table). The method consist of the following stages: (i) searching for basic templates which are next used as elementary building blocks for decision classes description; (ii) performing templates grouping as a pre-processing for generalization and contraction; (iii) generalization and contraction operations performed an the results of grouping. The main goal of the method is to synthesize the approximate description of decision classes. The control in the searching methods is focused on attempts to reduce uncertainty in approximate description of decision classes. On the other hand uncertainty in temporary synthesized descriptions of decision classes in the main "driving force" for the searching method. In the paper we concentrate on the different methods for template generation and approximate description of decision classes as well as we point out the relationship of our approach to the rough mereological approach to the synthesis of complex objects. The presented method can be adopted for synthesis of adaptive decision algorithms what is the goal of our ongoing research project.}, 
keywords = {adaptive decision systems, data mining systems and tools, templates, generalization and contraction, genetic algorithms, rough mereological synthesis scheme, }, 
}