Rough Sets: Selected Methods and Applications in Management and Engineering

• 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: Computer science.; Artificial intelligence.; Application software.; Computer Science.; Artificial Intelligence (incl. Robotics).; Computer Appl. in Administrative Data Processing.

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...

Πίνακας περιεχομένων:

• 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.