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Computer Science - Artificial Intelligence | Rough Sets: Selected Methods and Applications in Management and Engineering

Rough Sets: Selected Methods and Applications in Management and Engineering

Peters, G., Lingras, P., Ślęzak, D., Yao, Y. (Eds.)

2012, X, 214p. 130 illus., 86 illus. in color.

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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

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.

Content Level » Research

Keywords » Artificial Intelligence - Data Mining - Rough Set Theory - Rough Sets

Related subjects » Artificial Intelligence - Information Systems and Applications

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