Based on Rough Set Uncertainty Decision

Author: Zhang Wenxiu
Publisher:
Publish Date: 2005-07-01
Features: This book uses Rough Set Theory, Concept Lattice Theory, and Inclusion Theory as tools to discuss decision rule extraction methods and rule fusion methods in uncertain environments. It particularly studies the attribute characteristics of decision rules and the mathematical models for decision rule simplification. Additionally, the book presents various special decision rule extraction and fusion methods from different perspectives to adapt to the diverse decision environments faced by decision managers. The book emphasizes systematicity, rigor, and readability, making it suitable as a teaching text for disciplines such as management science, systems engineering, and applied mathematics, as well as a reference for decision management researchers. ... This book employs Rough Set Theory, Concept Lattice Theory, and Inclusion Theory as tools to discuss decision rule extraction methods and rule fusion methods in uncertain environments, with a focus on the attribute characteristics of decision rules and the mathematical models for decision rule simplification. Furthermore, it provides various special decision rule extraction and fusion methods from different angles to address the diverse decision environments encountered by decision managers. The book prioritizes systematicity, rigor, and readability, serving as both a teaching resource for fields like management science, systems engineering, and applied mathematics, and a reference for decision management researchers.