Produktnummer:
18741865332a5b45ecb7434dc7bcb01a65
| Themengebiete: | algorithms artificial intelligence calculus classification fuzzy incomplete information information information system knowledge discovery knowledge representation |
|---|---|
| Veröffentlichungsdatum: | 27.11.1997 |
| EAN: | 9783790810493 |
| Sprache: | Englisch |
| Seitenzahl: | 613 |
| Produktart: | Gebunden |
| Herausgeber: | Orlowska, Ewa |
| Verlag: | Physica |
Produktinformationen "Incomplete Information: Rough Set Analysis"
In 1982, Professor Pawlak published his seminal paper on what he called "rough sets" - a work which opened a new direction in the development of theories of incomplete information. Today, a decade and a half later, the theory of rough sets has evolved into a far-reaching methodology for dealing with a wide variety of issues centering on incompleteness and imprecision of information - issues which playa key role in the conception and design of intelligent information systems. "Incomplete Information: Rough Set Analysis" - or RSA for short - presents an up-to-date and highly authoritative account of the current status of the basic theory, its many extensions and wide-ranging applications. Edited by Professor Ewa Orlowska, one of the leading contributors to the theory of rough sets, RSA is a collection of nineteen well-integrated chapters authored by experts in rough set theory and related fields. A common thread that runs through these chapters ties the concept of incompleteness of information to those of indiscernibility and similarity.
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