<p><P>This basic textbook gives an easily accessible introduction to Fuzzy theory and its applications. It provides basic and concrete concepts of the field in a self-contained, condensed and understandable style. This "First Course on Fuzzy Theory and Applications" includes numerous examples, descr
First Course on Fuzzy Theory and Applications
β Scribed by Kwang H. Lee
- Publisher
- Springer
- Year
- 2004
- Tongue
- English
- Leaves
- 337
- Series
- Advances in Intelligent and Soft Computing 27
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This basic textbook gives an easily accessible introduction to Fuzzy theory and its applications. It provides basic and concrete concepts of the field in a self-contained, condensed and understandable style. This "First Course on Fuzzy Theory and Applications" includes numerous examples, descriptive illustrations and figures of the basic concepts, as well as exercises at the end of each chapter. The author has long time experience in teaching on fuzzy theory and its applications and continuously developed and summarized his didactic lecture notes into this book. This book can be used in introductory graduate and undergraduate courses in Fuzziness and Soft Computing and is recommendable to students, scientists, engineers, or professionals in the field for self-study.
π SIMILAR VOLUMES
This basic textbook gives an easily accessible introduction to Fuzzy theory and its applications. It provides basic and concrete concepts of the field in a self-contained, condensed and understandable style. This "First Course on Fuzzy Theory and Applications" includes numerous examples, descriptive
This basic textbook gives an easily accessible introduction to fuzzy theory and its applications. It provides basic and concrete concepts of the field in a self-contained, condensed and understandable style. This First Course on Fuzzy Theory and Applications includes numerous examples, descriptive i
<span>Fuzzy theory has become a subject that generates much interest among the courses for graduate students. However, it was not easy to find a suitable textbook to use in the introductory course and to recommend to the students who want to self-study. The main purpose of this book is just to meet
<p><p>This book provides an essential introduction to the field of dynamical models. Starting from classical theories such as set theory and probability, it allows readers to draw near to the fuzzy case. On one hand, the book equips readers with a fundamental understanding of the theoretical underpi