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Hybrid Rough Sets and Applications in Uncertain Decision-Making
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Hybrid Rough Sets and Applications in Uncertain Decision-Making

Book Details

Format Paperback / Softback
ISBN-10 1138372757
ISBN-13 9781138372757
Publisher Taylor & Francis Ltd
Imprint CRC Press
Country of Manufacture GB
Country of Publication GB
Publication Date Sep 10th, 2018
Print length 284 Pages
Weight 453 grams
Ksh 10,800.00
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By analyzing the advantages and disadvantages of practical applications, the scope of the rough set theory, and a variety of uncertainties in the realm of knowledge representation systems, this book systematically introduces the hybrid methods and applications of rough set theory and other related soft technology theories. It emphasizes the application of soft computing technology, minimizes the detailed introduction of complicated mathematical formula, and uses many cases to illustrate the specific application of hybrid methods in order to highlight rough set theory and other soft computing technologies.

As a powerful approach to data reasoning, rough set theory has proven to be invaluable in knowledge acquisition, decision analysis and forecasting, and knowledge discovery. With the ability to enhance the advantages of other soft technology theories, hybrid rough set theory is quickly emerging as a method of choice for decision making under uncertain conditions.

Keeping the complicated mathematics to a minimum, Hybrid Rough Sets and Applications in Uncertain Decision-Making provides a systematic introduction to the methods and application of the hybridization for rough set theory with other related soft technology theories, including probability, grey systems, fuzzy sets, and artificial neural networks. It also:

  • Addresses the variety of uncertainties that can arise in the practical application of knowledge representation systems
  • Unveils a novel hybrid model of probability and rough sets
  • Introduces grey variable precision rough set models
  • Analyzes the advantages and disadvantages of various practical applications

The authors examine the scope of application of the rough set theory and discuss how the combination of variable precision rough sets and dominance relations can produce probabilistic preference rules out of preference attribute decision tables of preference actions. Complete with numerous cases that illustrate the specific application of hybrid methods, the text adopts the latest achievements in the theory, method, and application of rough sets.


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