Author/Editor		Krusinska, E; Babič, A; Slowinski, R; Stefanowski, J
Title		Comparison of the rough sets approach and probabilistic data analysis techniques on a common set of medical data
Type		članek
Source		In: Slowinski R, ed. Intelligent decision support: handbook of applications. Dordrecht: Kluwer academic publishers,
Publication year		1992
Volume		str. 251-65
Language		eng
Abstract		The paper pesents a comparison study of the rough sest approach and probabilistic techniques, in particular, discriminant analysis and probabilistic inductive learning, to data analysis on a common set of medical data. This study completes the comparison done in (9), by taking into account, in addition to the location model of discriminant analysis, the linear Fisherian discrimination and Bayesian tree classifiers derived via inductive learning approach. A general discussion on similarities and diferences among compared methods is given. Particular attention is paid to data reduction and creation of decision rules. The outcomes of a computational experiment on the common set of data are described and discussed.
Descriptors		DATA INTERPRETATION, STATISTICAL DECISION SUPPORT TECHNIQUES ALGORITHMS