Hybrid Rough Sets and Applications in Uncertain Decision-Making

1st Edition

Lirong Jian, Sifeng Liu, Yi Lin

Auerbach Publications
Published September 10, 2018
Reference - 284 Pages - 43 B/W Illustrations
ISBN 9781138372757 - CAT# K397594
Series: Systems Evaluation, Prediction, and Decision-Making

For Instructors Request Inspection Copy

USD$71.00

Add to Wish List
FREE Standard Shipping!

Summary

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.

Instructors

We provide complimentary e-inspection copies of primary textbooks to instructors considering our books for course adoption.

Request an
e-inspection copy

Share this Title