Intelligent Computing: Theories and Applications of Rough Sets, Fuzzy Logic, and Neural Networks

Author: Zeng Huanglin
Publisher:
Publish Date: 2004-06-01
Features: Intelligent computing represents a new generation of computational style in intelligent information processing. This book primarily introduces the rapidly developing rough set theory, fuzzy logic, artificial neural network theory, and their applications in the field of intelligent computing in recent years. These theories provide effective techniques and methods for knowledge representation, learning, mining, and induction of data in the imprecise, incomplete, and uncertain real world, leading people to a new realm of scientific logical thinking and intelligent information processing. To clarify the fundamental issues of these theories and techniques and highlight the applications of these new methods, the book is divided into four parts. Part 1 introduces rough set theory and its applications, emphasizing the importance of knowledge mining from data, evaluating system parameters, and the characteristics of knowledge reduction. Part 2 introduces fuzzy logic and its applications, focusing on fuzzy concepts of knowledge, the construction of membership function characteristic curves, and fuzzy reasoning methods. Part 3 introduces artificial neural network theory and its applications, mainly discussing the structure and learning methods of artificial neural networks, highlighting optimization computing and nonlinear modeling approaches. Part 4 introduces comprehensive intelligent information processing methods and their applications, discussing the characteristics of rough set theory, fuzzy logic, and artificial neural networks, exploring the organic integration of these intelligent computing methods, and proposing comprehensive intelligent information processing and its application methods.
This book is a work on intelligent computing methods and their applications. To facilitate learning, it is intended for senior undergraduate and graduate students in computer science, artificial intelligence, and information processing as a textbook. The book focuses on introducing intelligent computing methods, omitting some complex theoretical derivations, and employs a large number of examples, exercises, and application cases to illustrate its concepts and methods. Some of the problems are extracted directly from research projects, making them suitable for students as graduation design topics, as well as for faculty and researchers in computer science, artificial intelligence, and information processing disciplines as reading references and in-depth research topics.