Fuzzy Logic Applications on Computer Science and Mathematics
by: Ashok Kumar Shaw (Editor), Rahul Kar (Editor), Dac-Nhuong Le (Editor), Gunjan Mukherjee (Editor), Biswadip Basu Mallik (Editor)
Publisher finelybook 出版社: Wiley-Scrivener; (November 7, 2023)
Language 语言: English
Print Length 页数: 304 pages
ISBN-10: 1394174535
ISBN-13: 9781394174539
Book Description
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.
From the Back Cover
The prime objective of developing this book is 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 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 is also 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. Each chapter has been produced in a very lucid manner, with grading from simple to complex to accommodate the anticipated different audiences. The application-oriented approach is the unique feature of this book.
Audience
This book will be read and used by a broad audience including applied mathematicians, computer scientists, and industry engineers.
About the Author
Rahul Kar is working as a State Aided Teacher of Mathematics, Faculty of Kalyani Mahavidyalaya, Nadia, West Bengal, India.
Dac-Nhuong Le, PhD, is an associate professor of computer science and deputy head of the Faculty of Information Technology, Haiphong University, Vietnam.
Gunjan Mukherjee is an assistant professor in the Department of Computational Science, in Brainware University, Kolkata, India.
Biswadip Basu Mallik PhD, is a senior assistant professor of Mathematics in the Department of Basic Sciences & Humanities, Institute of Engineering & Management, Kolkata, India.
Ashok Kumar Shaw, PhD, is and applied mathematician and is a professor and Dean of R&D at Budge Budge Institute of Technology, Kolkata, India.Amazon page
