| Rough Set Theory and Granular Computing 2003 Edition Contributor(s): Inuiguchi, Masahiro (Editor), Tsumoto, Shusaku (Editor), Hirano, Shoji (Editor) |
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ISBN: 3540005749 ISBN-13: 9783540005742 Publisher: Springer OUR PRICE: $161.49 Product Type: Hardcover Published: April 2003 Annotation: This monograph presents novel approaches and new results in fundamentals and applications related to rough sets and granular computing. It includes the application of rough sets to real world problems, such as data mining, decision support and sensor fusion. The relationship of rough sets to other important methods of data analysis Bayes theorem, neurocomputing and pattern recognition is thoroughly examined. Another issue is the rough set based data analysis, including the study of decision making in conflict situations. Recent engineering applications of rough set theory are given, including a processor architecture organization for fast implementation of basic rough set operations and results concerning advanced image processing for unmanned aerial vehicles. New emerging areas of study and applications are presented as well as a wide spectrum of on-going research, which makes the book valuable to all interested in the field of rough set theory and granular computing. |
| Additional Information |
| BISAC Categories: - Mathematics | Applied - Computers | Computer Graphics - Computers | Computer Science |
| Dewey: 004 |
| LCCN: 2003042590 |
| Series: Studies in Fuzziness and Soft Computing |
| Physical Information: 0.75" H x 6.14" W x 9.21" (1.38 lbs) 300 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |