Rough Sets: Selected Methods and Applications in Management and Engineering

Rough Set Theory was introduced in the early 1980's. In the last quarter century it has become an important part of soft computing and has proved its relevance in many real-world applications. Initially most articles on Rough Sets were centered on theory, currently though the focus of the resea...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Peters, Georg (Επιμελητής έκδοσης), Lingras, Pawan (Επιμελητής έκδοσης), Ślęzak, Dominik (Επιμελητής έκδοσης), Yao, Yiyu (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: London : Springer London, 2012.
Σειρά:Advanced Information and Knowledge Processing,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 03973nam a22005175i 4500
001 978-1-4471-2760-4
003 DE-He213
005 20151125232054.0
007 cr nn 008mamaa
008 120220s2012 xxk| s |||| 0|eng d
020 |a 9781447127604  |9 978-1-4471-2760-4 
024 7 |a 10.1007/978-1-4471-2760-4  |2 doi 
040 |d GrThAP 
050 4 |a Q334-342 
050 4 |a TJ210.2-211.495 
072 7 |a UYQ  |2 bicssc 
072 7 |a TJFM1  |2 bicssc 
072 7 |a COM004000  |2 bisacsh 
082 0 4 |a 006.3  |2 23 
245 1 0 |a Rough Sets: Selected Methods and Applications in Management and Engineering  |h [electronic resource] /  |c edited by Georg Peters, Pawan Lingras, Dominik Ślęzak, Yiyu Yao. 
264 1 |a London :  |b Springer London,  |c 2012. 
300 |a X, 214 p. 130 illus., 86 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Advanced Information and Knowledge Processing,  |x 1610-3947 
505 0 |a Preface -- Contributors -- Part I: Foundations of Rough Sets -- An Introduction to Rough Sets -- Part II: Methods and Applications in Data Analysis -- Applying Rough Set Concepts to Clustering -- Rough Clustering Approaches for Dynamic Environments -- Feature Selection, Classification and Rule Generation using Rough Sets -- Part III: Methods and Applications in Decision Support -- Three-way Decisions using Rough Sets -- Rough Set Based Decision Support – Models East to Interpret -- Part IV: Methods and Applications in Management -- Financial Series Forecasting using Dual Rough Support Vector Regression -- Grounding Information Technology Project Critical Success Factors within the Organization -- Workflow Management supported by Rough Set Concepts -- Part V: Methods and Applications in Engineering -- Rough Natural Hazards Monitoring -- Nearness of Associated Rough Sets -- Contributor's Biography -- Index. 
520 |a Rough Set Theory was introduced in the early 1980's. In the last quarter century it has become an important part of soft computing and has proved its relevance in many real-world applications. Initially most articles on Rough Sets were centered on theory, currently though the focus of the research has shifted to practical usage of mathematical advances. With this in mind this book is written for researchers at universities wanting to use Rough Sets to solve real-world problems and needing guidance on how best to describe their ideas in ways not only understandable to industry readers, but also for managers looking for methods to improve their businesses, and researchers in industrial laboratories and think-tanks investigating new methods to enhance the efficiency of their solutions. Rough Sets: Selected Methods and Applications in Management and Engineering is unique in its focus on use cases backed by sound theory in contrast to the presentation of a theory applied to a problem. A diverse range of applications, including coverage of methods in data analysis, decision support as well as management and engineering, demonstrates the great potential of Rough Sets in almost any domain. 
650 0 |a Computer science. 
650 0 |a Artificial intelligence. 
650 0 |a Application software. 
650 1 4 |a Computer Science. 
650 2 4 |a Artificial Intelligence (incl. Robotics). 
650 2 4 |a Computer Appl. in Administrative Data Processing. 
700 1 |a Peters, Georg.  |e editor. 
700 1 |a Lingras, Pawan.  |e editor. 
700 1 |a Ślęzak, Dominik.  |e editor. 
700 1 |a Yao, Yiyu.  |e editor. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9781447127598 
830 0 |a Advanced Information and Knowledge Processing,  |x 1610-3947 
856 4 0 |u http://dx.doi.org/10.1007/978-1-4471-2760-4  |z Full Text via HEAL-Link 
912 |a ZDB-2-SCS 
950 |a Computer Science (Springer-11645)