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Rough Sets

Theoretical Aspects of Reasoning about Data

Z Pawlak author

Format:Hardback

Publisher:Springer

Published:31st Oct '91

Currently unavailable, and unfortunately no date known when it will be back

Rough Sets cover

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However, the problem is to understand what knowledge means, to find ways of representing knowledge, and to specify automated machineries that can extract useful information from stored knowledge. One may say that knowledge is summarized and organized data - at least the kind of knowledge that computers can store.To-date computers are supposed to store and exploit knowledge. At least that is one of the aims of research fields such as Artificial Intelligence and Information Systems. However, the problem is to understand what knowledge means, to find ways of representing knowledge, and to specify automated machineries that can extract useful information from stored knowledge. Knowledge is something people have in their mind, and which they can express through natural language. Knowl­ edge is acquired not only from books, but also from observations made during experiments; in other words, from data. Changing data into knowledge is not a straightforward task. A set of data is generally disorganized, contains useless details, although it can be incomplete. Knowledge is just the opposite: organized (e.g. laying bare dependencies, or classifications), but expressed by means of a poorer language, i.e. pervaded by imprecision or even vagueness, and assuming a level of granularity. One may say that knowledge is summarized and organized data - at least the kind of knowledge that computers can store.

ISBN: 9780792314721

Dimensions: unknown

Weight: 549g

231 pages

1991 ed.