Hybrid rough sets and applications in uncertain decision-making
By Lirong Jian

"Hybrid rough sets and applications in uncertain decision-making" is published by Auerbach Publications in 2010 - Boca Raton, it has 266 pages and the language of the book is English.
“Hybrid rough sets and applications in uncertain decision-making” Metadata:
- Title: ➤ Hybrid rough sets and applications in uncertain decision-making
- Author: Lirong Jian
- Language: English
- Number of Pages: 266
- Publisher: Auerbach Publications
- Publish Date: 2010
- Publish Location: Boca Raton
“Hybrid rough sets and applications in uncertain decision-making” Subjects and Themes:
- Subjects: ➤ Soft computing - Rough sets - Decision making - Data mining - Set theory - Data Mining - Decision Making - Informatique douce - Exploration de données (Informatique) - Ensembles approximatifs - Prise de décision - COMPUTERS - Enterprise Applications - Business Intelligence Tools - Intelligence (AI) & Semantics
Edition Specifications:
- Pagination: p. cm.
Edition Identifiers:
- The Open Library ID: OL25074067M - OL16211123W
- Online Computer Library Center (OCLC) ID: 680038300
- Library of Congress Control Number (LCCN): 2010012957
- ISBN-13: 9781420087482 - 9781420087499
- All ISBNs: 9781420087482 - 9781420087499
AI-generated Review of “Hybrid rough sets and applications in uncertain decision-making”:
"Hybrid rough sets and applications in uncertain decision-making" Description:
Open Data:
By analyzing the advantages and disadvantages of practical applications and the scope of application of the rough set theory as well as a variety of uncertainties in the practical application 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 to uses many cases to illustrate the specific application of hybrid methods in order to highlight
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