Experiments to compare rough sets and vector quantization with the self-organizing algorithm

Raisa R. Szabo

doi:10.1117/12.304826

25 March 1998 Experiments to compare rough sets and vector quantization with the self-organizing algorithm

Raisa R. Szabo

Proceedings Volume 3390, Applications and Science of Computational Intelligence; (1998) https://doi.org/10.1117/12.304826
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

Abstract

This paper presents a comparison study of the rough set approach and Kohonen's vector quantization with the self- organizing algorithm. The main idea behind this research is the fact that neither the rough set nor Kohonen's neural network approaches require a prior knowledge of data distribution. The paradigms are compared in terms of their methods for the calculation of an accuracy of approximation and classification, reduction of non-significant attributes, minimal subset of attributes, and the uncertainty associated with the decision making process.

Citation Download Citation

Raisa R. Szabo "Experiments to compare rough sets and vector quantization with the self-organizing algorithm", Proc. SPIE 3390, Applications and Science of Computational Intelligence, (25 March 1998); https://doi.org/10.1117/12.304826

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