Rough-set inspired approach to knowledge discovery in business databases

Kowalczyk, Wojtek; Piasta, Zdzisław

doi:10.1007/3-540-64383-4_16

Cited by 8 publications

(1 citation statement)

References 5 publications

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“…Rough set theory seems to be a very well suited new mathematical tool to deal with various decision problems. Many papers on rough set theory and decision support have been published in recent years, "see Greco et al ( , 1997Greco et al ( , 1999, Kowalczyk (1998), Pal (1998), Pawlak (1994Pawlak ( , 1997, , S lowiński (1992,1993,1994,1995), S lowiński and Stefanowski (1993,1995), S lowiński and Zopounidis (1995,1994), S lowiński et al (1997)". It turned out however, that the original rough set approach does not cover some important aspect of decision analysis.…”

Section: Introductionmentioning

confidence: 99%

Rough Sets And Decision Analysis

Pawlak¹

2000

INFOR: Information Systems and Operational Research

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Rough set theory is a new mathematical approach to vagueness and uncertainty. The theory has found many real life applications world wide. It is also considered as a very well suited new mathematical tool to deal with various decision problems and many papers on rough set theory and decision support have been published recently. Rough set theory gives new insight into the decision process and offers new efficient algorithms. Several real life decision problems have been successfully solved using this approach.In this paper basic concepts of rough set theory will be given and its significance for decision analysis will be briefly discussed.

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