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Rough Sets pp 3–92Cite as

Rough Set Theory: An Introduction

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Part of the book series: Advances in Soft Computing ((AINSC,volume 15))

Abstract

In rough set theory, knowledge is interpreted as an ability to classify some objects (cf. [Pawlak82a, 81b]). These objects form a set called often a universe of discourse and their nature may vary from case to case: they may be e.g. medical patients, processes, participants in a conflict etc., etc.

The human understanding is of its own nature prone to suppose the more order and regularity in the world than it finds. And though there be many things which are singular and unmatched, yet it devises for them parallels and conjugates and relatives which do not exist.

Francis Bacon, Novum Organum, I, 45

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  1. Polish-Japanese Institute of Information Technology, ul. Koszykowa 86, 02-008, Warsaw, Poland

    Prof. Dr. Lech Polkowski

  2. Department of Mathematics and Computer Science, University of Wormia and Mazury, ul. Żofnierska 14a, 10-561, Olsztyn, Poland

    Prof. Dr. Lech Polkowski

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Polkowski, L. (2002). Rough Set Theory: An Introduction. In: Rough Sets. Advances in Soft Computing, vol 15. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1776-8_1

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