Hybrid rough sets and applications in uncertain decision-making

by Jian, Lirong

Type Book
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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 uncertain conditions. Keeping the complicated mathematics to a minimum, Hybrid Rough Sets and Applications in Uncertain Decision-Making provides a systemat…

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Title Statements

  • Full title :Hybrid rough sets and applications in uncertain decision-making / Lirong Jian, Sifeng Liu, Yi Lin.

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.

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. --Résumé de l'éditeur.

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Edition Statements

  • Publication Date:©2011.

Publication Statements

Notes

"An Auerbach book."

Titre de l'écran-titre (visionné le 4 octobre 2010).

The Physical Object

  • Description:1 ressource en ligne (xvii, 266 pages) : : illustrations, fichiers PDF

Edition Identifiers

  • oclc:on1132062728
  • LC Classification:QA76.9.S63
  • Dewey Decimal:006.3

Subjects

Data Mining decision making Ensembles approximatifs Exploration de données (Informatique) Informatique douce Prise de décision Rough Sets Soft computing

Writers

Jian, Lirong Forrest, Jeffrey Yi-Lin Liu, Sifeng

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