Rough Sets in Knowledge Discovery 2: Applications, Case Studies and Software Systems
The papers on rough set theory and its applications placed in this volume present a wide spectrum of problems representative to the present. stage of this theory. Researchers from many countries reveal their rec.ent results on various aspects of rough sets. The papers are not confined only to mathem...
Gespeichert in:
Weitere Verfasser: | , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Heidelberg
Physica-Verlag HD
1998
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Schriftenreihe: | Studies in Fuzziness and Soft Computing
19 |
Schlagworte: | |
Online-Zugang: | BTU01 Volltext |
Zusammenfassung: | The papers on rough set theory and its applications placed in this volume present a wide spectrum of problems representative to the present. stage of this theory. Researchers from many countries reveal their rec.ent results on various aspects of rough sets. The papers are not confined only to mathematical theory but also include algorithmic aspects, applications and information about software designed for data analysis based on this theory. The volume contains also list of selected publications on rough sets which can be very useful to every one engaged in research or applications in this domain and sometimes perhaps unaware of results of other authors. The book shows that rough set theory is a vivid and vigorous domain with serious results to its credit and bright perspective for future developments. It lays on the crossroads of fuzzy sets, theory of evidence, neural networks, Petri nets and many other branches of AI, logic and mathematics. These diverse connec tions seem to be a very fertile feature of rough set theory and have essentially contributed to its wide and rapid expansion. It is worth mentioning that its philosophical roots stretch down from Leibniz, Frege and Russell up to Popper. Therefore many concepts dwelled on in rough set theory are not entirely new, nevertheless the theory can be viewed as an independent discipline on its own rights. Rough set theory has found many interesting real life applications in medicine, banking, industry and others |
Beschreibung: | 1 Online-Ressource (X, 601 p) |
ISBN: | 9783790818833 |
DOI: | 10.1007/978-3-7908-1883-3 |
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520 | |a The papers on rough set theory and its applications placed in this volume present a wide spectrum of problems representative to the present. stage of this theory. Researchers from many countries reveal their rec.ent results on various aspects of rough sets. The papers are not confined only to mathematical theory but also include algorithmic aspects, applications and information about software designed for data analysis based on this theory. The volume contains also list of selected publications on rough sets which can be very useful to every one engaged in research or applications in this domain and sometimes perhaps unaware of results of other authors. The book shows that rough set theory is a vivid and vigorous domain with serious results to its credit and bright perspective for future developments. It lays on the crossroads of fuzzy sets, theory of evidence, neural networks, Petri nets and many other branches of AI, logic and mathematics. These diverse connec tions seem to be a very fertile feature of rough set theory and have essentially contributed to its wide and rapid expansion. It is worth mentioning that its philosophical roots stretch down from Leibniz, Frege and Russell up to Popper. Therefore many concepts dwelled on in rough set theory are not entirely new, nevertheless the theory can be viewed as an independent discipline on its own rights. Rough set theory has found many interesting real life applications in medicine, banking, industry and others | ||
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discipline | Wirtschaftswissenschaften |
doi_str_mv | 10.1007/978-3-7908-1883-3 |
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id | DE-604.BV045185038 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T08:10:54Z |
institution | BVB |
isbn | 9783790818833 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030574216 |
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physical | 1 Online-Ressource (X, 601 p) |
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publishDate | 1998 |
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publisher | Physica-Verlag HD |
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series2 | Studies in Fuzziness and Soft Computing |
spelling | Rough Sets in Knowledge Discovery 2 Applications, Case Studies and Software Systems edited by Lech Polkowski, Andrzej Skowron Heidelberg Physica-Verlag HD 1998 1 Online-Ressource (X, 601 p) txt rdacontent c rdamedia cr rdacarrier Studies in Fuzziness and Soft Computing 19 The papers on rough set theory and its applications placed in this volume present a wide spectrum of problems representative to the present. stage of this theory. Researchers from many countries reveal their rec.ent results on various aspects of rough sets. The papers are not confined only to mathematical theory but also include algorithmic aspects, applications and information about software designed for data analysis based on this theory. The volume contains also list of selected publications on rough sets which can be very useful to every one engaged in research or applications in this domain and sometimes perhaps unaware of results of other authors. The book shows that rough set theory is a vivid and vigorous domain with serious results to its credit and bright perspective for future developments. It lays on the crossroads of fuzzy sets, theory of evidence, neural networks, Petri nets and many other branches of AI, logic and mathematics. These diverse connec tions seem to be a very fertile feature of rough set theory and have essentially contributed to its wide and rapid expansion. It is worth mentioning that its philosophical roots stretch down from Leibniz, Frege and Russell up to Popper. Therefore many concepts dwelled on in rough set theory are not entirely new, nevertheless the theory can be viewed as an independent discipline on its own rights. Rough set theory has found many interesting real life applications in medicine, banking, industry and others Business and Management IT in Business Artificial Intelligence (incl. Robotics) Database Management Business Information technology Business / Data processing Database management Artificial intelligence Polkowski, Lech 1946- (DE-588)120167204 edt Skowron, Andrzej 1943- (DE-588)1252627343 edt Erscheint auch als Druck-Ausgabe 9783790824599 https://doi.org/10.1007/978-3-7908-1883-3 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Rough Sets in Knowledge Discovery 2 Applications, Case Studies and Software Systems Business and Management IT in Business Artificial Intelligence (incl. Robotics) Database Management Business Information technology Business / Data processing Database management Artificial intelligence |
title | Rough Sets in Knowledge Discovery 2 Applications, Case Studies and Software Systems |
title_auth | Rough Sets in Knowledge Discovery 2 Applications, Case Studies and Software Systems |
title_exact_search | Rough Sets in Knowledge Discovery 2 Applications, Case Studies and Software Systems |
title_full | Rough Sets in Knowledge Discovery 2 Applications, Case Studies and Software Systems edited by Lech Polkowski, Andrzej Skowron |
title_fullStr | Rough Sets in Knowledge Discovery 2 Applications, Case Studies and Software Systems edited by Lech Polkowski, Andrzej Skowron |
title_full_unstemmed | Rough Sets in Knowledge Discovery 2 Applications, Case Studies and Software Systems edited by Lech Polkowski, Andrzej Skowron |
title_short | Rough Sets in Knowledge Discovery 2 |
title_sort | rough sets in knowledge discovery 2 applications case studies and software systems |
title_sub | Applications, Case Studies and Software Systems |
topic | Business and Management IT in Business Artificial Intelligence (incl. Robotics) Database Management Business Information technology Business / Data processing Database management Artificial intelligence |
topic_facet | Business and Management IT in Business Artificial Intelligence (incl. Robotics) Database Management Business Information technology Business / Data processing Database management Artificial intelligence |
url | https://doi.org/10.1007/978-3-7908-1883-3 |
work_keys_str_mv | AT polkowskilech roughsetsinknowledgediscovery2applicationscasestudiesandsoftwaresystems AT skowronandrzej roughsetsinknowledgediscovery2applicationscasestudiesandsoftwaresystems |