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Rough Sets: Selected Methods and Applications in Management and Engineering

  • Book
  • © 2012

Overview

Editors:
  1. Georg Peters

    1. Munich University of Applied Sciences, Munich, Germany

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  2. Pawan Lingras

    1. Dpt. of Mathematics and Computer Science, St. Mary's University, Halifax, Canada

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  3. Dominik Ślęzak

    1. University of Warsaw, Warsaw, Poland

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  4. Yiyu Yao

    1. Department of Computer Science, University of Regina, Regina, Canada

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  • All editors hold positions in the International Rough Set Society
  • First state-of-the-art survey of Rough Sets from an application perspective
  • Contains a diverse range of applications
  • Includes supplementary material: sn.pub/extras

Part of the book series: Advanced Information and Knowledge Processing (AI&KP)

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Table of contents (11 chapters)

  1. Front Matter

    Pages I-X
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  2. Foundations of Rough Sets

    1. Front Matter

      Pages 1-1
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    2. An Introduction to Rough Sets

      • Yiyu Yao, Dominik Ślęzak
      Pages 3-20

  3. Methods and Applications in Data Analysis

    1. Front Matter

      Pages 21-21
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    2. Applying Rough Set Concepts to Clustering

      • Pawan Lingras, Georg Peters
      Pages 23-37

    3. Rough Clustering Approaches for Dynamic Environments

      • Fernando Crespo, Georg Peters, Richard Weber
      Pages 39-50

    4. Feature Selection, Classification and Rule Generation Using Rough Sets

      • Haider Banka, Sushmita Mitra
      Pages 51-76

  4. Methods and Applications in Decision Support

    1. Front Matter

      Pages 77-77
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    2. Three-Way Decisions Using Rough Sets

      • Yiyu Yao
      Pages 79-93

    3. Rough Set Based Decision Support—Models Easy to Interpret

      • Sebastian Widz, Dominik Ślęzak
      Pages 95-112

  5. Methods and Applications in Management

    1. Front Matter

      Pages 113-113
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    2. Financial Series Forecasting Using Dual Rough Support Vector Regression

      • Pawan Lingras, Cory Butz, Parag Bhalchandra
      Pages 115-127

    3. Grounding Information Technology Project Critical Success Factors Within the Organization

      • M. Gordon Hunter, Georg Peters
      Pages 129-142

    4. Workflow Management Supported by Rough Set Concepts

      • Georg Peters, Roger Tagg
      Pages 143-160

  6. Methods and Applications in Engineering

    1. Front Matter

      Pages 161-161
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    2. Rough Natural Hazards Monitoring

      • Marek Sikora, Beata Sikora
      Pages 163-179

    3. Nearness of Associated Rough Sets

      • Sheela Ramanna, James F. Peters
      Pages 181-205

  7. Back Matter

    Pages 207-214
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Keywords

About this book

Rough Set Theory, introduced by Pawlak in the early 1980s, has become an important part of soft computing within the last 25 years. However, much of the focus has been on the theoretical understanding of Rough Sets, with a survey of Rough Sets and their applications within business and industry much desired. Rough Sets: Selected Methods and Applications in Management and Engineering provides context to Rough Set theory, with each chapter exploring a real-world application of Rough Sets.

Rough Sets is relevant to managers striving to improve their businesses, industry researchers looking to improve the efficiency of their solutions, and university researchers wanting to apply Rough Sets to real-world problems.

Editors and Affiliations

  • Munich University of Applied Sciences, Munich, Germany

    Georg Peters

  • Dpt. of Mathematics and Computer Science, St. Mary's University, Halifax, Canada

    Pawan Lingras

  • University of Warsaw, Warsaw, Poland

    Dominik Ślęzak

  • Department of Computer Science, University of Regina, Regina, Canada

    Yiyu Yao

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