Rough Set Theory and Granular Computing:
After 20 years of pursuing rough set theory and its applications a look on its present state and further prospects is badly needed. The monograph Rough Set Theory and Granular Computing edited by Masahiro Inuiguchi, Shoji Hirano and Shusaku Tsumoto meets this demand. It presents the newest developme...
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2003
|
| Schriftenreihe: | Studies in Fuzziness and Soft Computing
125 |
| Schlagworte: | |
| Online-Zugang: | FHI01 BTU01 Volltext |
| Zusammenfassung: | After 20 years of pursuing rough set theory and its applications a look on its present state and further prospects is badly needed. The monograph Rough Set Theory and Granular Computing edited by Masahiro Inuiguchi, Shoji Hirano and Shusaku Tsumoto meets this demand. It presents the newest developments in this area and gives fair picture of the state of the art in this domain. Firstly, in the keynote papers by Zdzislaw Pawlak, Andrzej Skowron and Sankar K. Pal the relationship of rough sets with other important methods of data analysis -Bayes theorem, neuro computing and pattern recognitio- is thoroughly examined. Next, several interesting generalizations of the the ory and new directions of research are presented. Furthermore application of rough sets in data mining, in particular, rule induction methods based on rough set theory is presented and discussed. Further important issue dis cussed in the monograph is rough set based data analysis, including study of decisions making in conflict situations. Last but not least, some recent engi neering applications of rough set theory are given. They include a proposal of rough set processor architecture organization for fast implementation of ba sic rough set operations and discussion of results concerning advanced image processing for unmanned aerial vehicle. Thus the monograph beside presenting wide spectrum of ongoing research in this area also points out new emerging areas of study and applications, which makes it a valuable source of information to all interested in this do main |
| Beschreibung: | 1 Online-Ressource (XV, 300 p) |
| ISBN: | 9783540364733 |
| DOI: | 10.1007/978-3-540-36473-3 |
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| 520 | |a After 20 years of pursuing rough set theory and its applications a look on its present state and further prospects is badly needed. The monograph Rough Set Theory and Granular Computing edited by Masahiro Inuiguchi, Shoji Hirano and Shusaku Tsumoto meets this demand. It presents the newest developments in this area and gives fair picture of the state of the art in this domain. Firstly, in the keynote papers by Zdzislaw Pawlak, Andrzej Skowron and Sankar K. Pal the relationship of rough sets with other important methods of data analysis -Bayes theorem, neuro computing and pattern recognitio- is thoroughly examined. Next, several interesting generalizations of the the ory and new directions of research are presented. Furthermore application of rough sets in data mining, in particular, rule induction methods based on rough set theory is presented and discussed. Further important issue dis cussed in the monograph is rough set based data analysis, including study of decisions making in conflict situations. Last but not least, some recent engi neering applications of rough set theory are given. They include a proposal of rough set processor architecture organization for fast implementation of ba sic rough set operations and discussion of results concerning advanced image processing for unmanned aerial vehicle. Thus the monograph beside presenting wide spectrum of ongoing research in this area also points out new emerging areas of study and applications, which makes it a valuable source of information to all interested in this do main | ||
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| author2 | Inuiguchi, Masahiro Hirano, Shoji Tsumoto, Shusaku |
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| dewey-full | 519 |
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| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
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| format | Electronic eBook |
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| id | DE-604.BV045149139 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:10:03Z |
| institution | BVB |
| isbn | 9783540364733 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030538838 |
| oclc_num | 1050951753 |
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| owner_facet | DE-573 DE-634 |
| physical | 1 Online-Ressource (XV, 300 p) |
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| publisher | Springer Berlin Heidelberg |
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| series2 | Studies in Fuzziness and Soft Computing |
| spelling | Rough Set Theory and Granular Computing edited by Masahiro Inuiguchi, Shoji Hirano, Shusaku Tsumoto Berlin, Heidelberg Springer Berlin Heidelberg 2003 1 Online-Ressource (XV, 300 p) txt rdacontent c rdamedia cr rdacarrier Studies in Fuzziness and Soft Computing 125 After 20 years of pursuing rough set theory and its applications a look on its present state and further prospects is badly needed. The monograph Rough Set Theory and Granular Computing edited by Masahiro Inuiguchi, Shoji Hirano and Shusaku Tsumoto meets this demand. It presents the newest developments in this area and gives fair picture of the state of the art in this domain. Firstly, in the keynote papers by Zdzislaw Pawlak, Andrzej Skowron and Sankar K. Pal the relationship of rough sets with other important methods of data analysis -Bayes theorem, neuro computing and pattern recognitio- is thoroughly examined. Next, several interesting generalizations of the the ory and new directions of research are presented. Furthermore application of rough sets in data mining, in particular, rule induction methods based on rough set theory is presented and discussed. Further important issue dis cussed in the monograph is rough set based data analysis, including study of decisions making in conflict situations. Last but not least, some recent engi neering applications of rough set theory are given. They include a proposal of rough set processor architecture organization for fast implementation of ba sic rough set operations and discussion of results concerning advanced image processing for unmanned aerial vehicle. Thus the monograph beside presenting wide spectrum of ongoing research in this area also points out new emerging areas of study and applications, which makes it a valuable source of information to all interested in this do main Engineering Appl.Mathematics/Computational Methods of Engineering Computer Imaging, Vision, Pattern Recognition and Graphics Computer Applications Applications of Mathematics Computer graphics Application software Applied mathematics Engineering mathematics Inuiguchi, Masahiro edt Hirano, Shoji edt Tsumoto, Shusaku edt Erscheint auch als Druck-Ausgabe 9783642056147 https://doi.org/10.1007/978-3-540-36473-3 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Rough Set Theory and Granular Computing Engineering Appl.Mathematics/Computational Methods of Engineering Computer Imaging, Vision, Pattern Recognition and Graphics Computer Applications Applications of Mathematics Computer graphics Application software Applied mathematics Engineering mathematics |
| title | Rough Set Theory and Granular Computing |
| title_auth | Rough Set Theory and Granular Computing |
| title_exact_search | Rough Set Theory and Granular Computing |
| title_full | Rough Set Theory and Granular Computing edited by Masahiro Inuiguchi, Shoji Hirano, Shusaku Tsumoto |
| title_fullStr | Rough Set Theory and Granular Computing edited by Masahiro Inuiguchi, Shoji Hirano, Shusaku Tsumoto |
| title_full_unstemmed | Rough Set Theory and Granular Computing edited by Masahiro Inuiguchi, Shoji Hirano, Shusaku Tsumoto |
| title_short | Rough Set Theory and Granular Computing |
| title_sort | rough set theory and granular computing |
| topic | Engineering Appl.Mathematics/Computational Methods of Engineering Computer Imaging, Vision, Pattern Recognition and Graphics Computer Applications Applications of Mathematics Computer graphics Application software Applied mathematics Engineering mathematics |
| topic_facet | Engineering Appl.Mathematics/Computational Methods of Engineering Computer Imaging, Vision, Pattern Recognition and Graphics Computer Applications Applications of Mathematics Computer graphics Application software Applied mathematics Engineering mathematics |
| url | https://doi.org/10.1007/978-3-540-36473-3 |
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