Information Systems and Knowledge Discovery

Author: Zhang Wenxiu
Publisher:
Publish Date: 2003-09-01
Features: This book uses Rough Set Theory, Fuzzy Set Theory, and Stochastic Set Theory as tools to discuss knowledge discovery and knowledge reduction theories on information systems. The content includes classic information systems and knowledge discovery, fuzzy information systems and knowledge discovery, stochastic information systems and knowledge discovery, lattice-valued information systems and knowledge discovery, as well as the knowledge systems and knowledge logic formed by knowledge discovery. The book adheres to a strict mathematical framework while closely integrating practical feasibility in methods, making it suitable as a graduate textbook for mathematics and information science, as well as a reference for researchers and engineers engaged in information science research.