Fuzzy Logic: Intelligence, Control, and Information
Yen, John
Langari, Reza
highlights Motivations And Benefits Of Employing Fuzzy Logic In Control Engineering And Information Systems.
providing Equal Emphasis On Theoretical Foundations And Practical Issues, This Book Features Fuzzy Logic Concepts And Techniques In Intelligent Systems, Control, And Information Technology. Uses Fuzzy Logic Toolbox For Matlab™ To Demonstrate Exemplar Applications And To Develop Hands-on Exercises.
introduces The Connection Between Fuzzy Logic And Related Ideas, Methods, And Theories Developed In Other Disciplines (e.g., Artificial Intelligence, Probability Theory, Control, Model Identification, Etc.).
booknews
a Text For A One-semester, Introductory, Advanced-undergraduate Or Beginning-graduate Course For Engineering Students. Explains The Theory Underlying Control Based On Fuzzy Logic, Pattern Classification, And Information Processing Strategies In Relation To Complex Systems. Also Describes Applications In A Variety Of Areas, And Discusses Design Methodology That Can Be Adapted To Different Specialties Of Engineering. Uses Matlab/simulink And Fuzzy Logical Toolbox For Matlab. Annotation C. By Book News, Inc., Portland, Or.
Name in long format: | Fuzzy Logic: Intelligence, Control, and Information |
---|---|
ISBN-10: | 0135258170 |
ISBN-13: | 9780135258170 |
Book pages: | 576 |
Book language: | en |
Edition: | 1 |
Binding: | Paperback |
Publisher: | Pearson |
Dimensions: | Height: 9 Inches, Length: 1.1 Inches, Weight: 2.07014064018 Pounds, Width: 7.4 Inches |