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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...

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Bibliographic Details
Other Authors: Peters, Georg (Editor), Lingras, Pawan (Editor), Ślęzak, Dominik (Editor), Yao, Yiyu (Editor)
Format: eBook
Language:English
Published: London Springer London 2012, 2012
Edition:1st ed. 2012
Series:Advanced Information and Knowledge Processing
Subjects:
Computer Appl. In Administrative Data Processing
Application Software
Artificial Intelligence
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • 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

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