Fuzzy Logic Applications in Computer Science and Mathematics

Covered in this book are topics such as the fundamental concepts of  mathematics, fuzzy logic concepts, probability and possibility theories,  and evolutionary computing to some extent. The combined fields of  neural network and fuzzy domain (known as the neuro-fuzzy system) are  explained and elaborated through many highly regarded research papers.  Each chapter has been produced in a very lucid manner, with a grading  from simple to complex in an effort to accommodate different audiences.

The  application-oriented approach is the unique feature of this book. Apart  from the theoretical discussion, the problems and the allied case  studies concerned with the topics discussed in this book will be of  great interest to a broad audience. The problems and the case studies  furnished in this book are worthwhile to researchers and academicians,  as well. This book comprises state-of-the-art information on a wide  range of various subjects, all directly or indirectly connected to the  overarching topic.

The prime objective of developing this book  was to provide meticulous details about the basic and advanced concepts  of fuzzy logic and its all-around applications to different fields of  mathematics and engineering. The book caters to a certain level of  professional knowledge, academicians, students, and researchers. The  basic steps of fuzzy inference systems starting from the core foundation  of the fuzzy concepts are presented in this book. The fuzzy theory is a  mathematical concept and, at the same time, it is applied to many  versatile engineering fields and research domains related to computer  science. The fuzzy system offers some knowledge about uncertainty and  also is related to the theory of probability. A fuzzy logic-based model  acts as the classifier for many different types of data belonging to  several classes. Covered in this book are topics such as the fundamental  concepts of mathematics, fuzzy logic concepts, probability and  possibility theories, and evolutionary computing to some extent. The  combined fields of neural network and fuzzy domain (known as the  neuro-fuzzy system) are explained and elaborated through many highly  regarded research papers. Each chapter has been produced in a very lucid  manner, with grading from simple to complex in an effort to accommodate  different audiences.

The application-oriented approach is the  unique feature of this book. Apart from the theoretical discussion, the  problems and the allied case studies concerned with the topics discussed  in this book will be of great interest to a broad audience. The  problems and the case studies furnished in this book are worthwhile to  researchers and academicians, as well. This book comprises  state-of-the-art information on a wide range of various subjects, all  directly or indirectly connected to the overarching topic.

Fuzzy  logic and its application have evolved significantly and, through many  research paths, have arrived at the current stage. With concern paid to  the students of different types of engineering, this book also addresses  some additional aspects.

The material of this book was developed  and arranged so that readers can easily grasp the fundamental concepts  of the subject and gradually move to more advanced levels through  functional assessments of the matter in both broad and analytical ways.  The target readership includes researchers, professionals, and students  willing to pursue their career further in the field of computation in  the fuzzy domain.