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.

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Yes, you can access Fuzzy Logic Applications in Computer Science and Mathematics by Rahul Kar,Dac-Nhuong Le,Gunjan Mukherjee,Biswadip Basu Mallik,Ashok Kumar Shaw in PDF and/or ePUB format, as well as other popular books in Mathematics & Applied Mathematics. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Year

Print ISBN

eBook ISBN

Edition

Topic

Mathematics

Subtopic

Applied Mathematics

Index

Mathematics

Cover
Title Page
Copyright Page
Contents
Preface
Chapter 1 Decision Making Using Fuzzy Logic Using Multicriteria
Chapter 2 Application of Fuzzy Logic in the Context of Risk Management
Chapter 3 Use of Fuzzy Logic for Controlling Greenhouse Environment: A Study Through the Lens of Web Monitoring
Chapter 4 Fuzzy Logics and Marketing Decisions
Chapter 5 A Method for Ranking Fuzzy Numbers Based on Their Value, Ambiguity, Fuzziness, and Vagueness
Chapter 6 Evacuation of Attributes to Translucent TNSET in Mathematics Using Rough Topology
Chapter 7 Design of Type-2 Fuzzy Controller for Hybrid Multi-Area Power System
Chapter 8 Alzheimer’s Detection and Classification Using Fine-Tuned Convolutional Neural Network
Chapter 9 Design of Fuzzy Logic-Based Smart Cars Using Scilab
Chapter 10 Financial Planning and Decision Making for Students Using Fuzzy Logic
Chapter 11 A Novel Fuzzy Logic (FL) Algorithm for the Automatic Detection of Oral Cancer
Chapter 12 A Study on Decision Making of Difficulties Faced by Indian Workers Abroad by Using Rough Topology
Chapter 13 Case Study on Fuzzy Logic: Fuzzy Logic-Based PID Controller to Tune the DC Motor Speed
Chapter 14 Application of Intuitionistic Fuzzy Network Using Efficient Domination
Chapter 15 Analysis of Parameters Related to Malaria with Comparative Study on Fuzzy Cognitive Maps and Neutrosophic Cognitive Maps
Chapter 16 Applications of Fuzzy Cognitive Maps and Neutrosophic Cognitive Maps on Analysis of Dengue Fever
Chapter 17 A Comprehensive Review and Analysis of the Plethora of Branches of Medical Science and Bioinformatics Based on Fuzzy Logic
Index
EULA

About this book

Frequently asked questions

Information

Table of contents