Hybrid Rough Sets and Applications in Uncertain Decision-Making

Hybrid Rough Sets and Applications in Uncertain Decision-Making

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Lin, Yi (Nanjing University of Aeronautics and Astronautics, China)Lin, Yi (Nanjing University of Aeronautics and Astronautics, China), Liu, Sifeng (Nanjing University of Aeronautics & Astronautics, China), Jian, Lirong (Nanjing University of Aeronautics & Astronautics, China)
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 uncerta
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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 uncerta
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  • Formats: pdf
  • ISBN: 9781420087499
  • Publication Date: 7 Sept 2010
  • Publisher: CRC Press
  • Product language: English
  • Drm Setting: DRM