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    1. Naturvetenskap och teknik
    2. Matematik och naturvetenskap
    3. Matematik
    4. Tillämpad matematik

    Fuzzy Logic Applications in Computer Science and Mathematics

    AvRahul Kar,Dac-Nhuong Le

    Inbunden, Engelska, 2023

    2 072 kr

    Beställningsvara. Skickas inom 5-8 vardagar. Fri frakt över 249 kr.

    Beskrivning

    FUZZY LOGIC APPLICATIONS IN COMPUTER SCIENCE AND MATHEMATICSTICS 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.

    Produktinformation

    • Utgivningsdatum:2023-09-28
    • Mått:154 x 230 x 22 mm
    • Vikt:685 g
    • Format:Inbunden
    • Språk:Engelska
    • Antal sidor:304
    • Förlag:John Wiley & Sons Inc
    • ISBN:9781394174539

    Utforska kategorier

    • Tillämpad matematik inom Naturvetenskap och teknik

    Mer om författaren

    Rahul Kar, PhD, 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, PhD, is an assistant professor in the Department of Computational Science, 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 an applied mathematician and professor and Dean of R&D at the Budge Budge Institute of Technology, Kolkata, India.

    Innehållsförteckning

    • Preface xiii1 Decision Making Using Fuzzy Logic Using Multicriteria 1Panem Charanarur, Srinivasa Rao Gundu and J.Vijaylaxmi1.1 Introduction 21.2 Fuzzy Logic 51.3 Decision Making 61.4 Literature Review 71.5 Conclusion 102 Application of Fuzzy Logic in the Context of Risk Management 13Sudipta Adhikary and Kaushik Banerjee2.1 Introduction 132.2 Objectives of Risk Management 142.3 Improved Risk Estimation 152.4 Threat at Quantification Matrix 172.5 Fundamental Definitions 182.6 Fuzzy Logic 192.7 Risk Related to Fuzzy Matrix 202.8 Conclusion 263 Use of Fuzzy Logic for Controlling Greenhouse Environment: Study Through the Lens of Web Monitoring 29Kaushik Banerjee and Sudipta Adhikary3.1 Introduction 293.2 Design (Hardware) 303.3 Programming Arduino Mega Board 313.4 Implementation of a Prototype 343.5 Results 353.6 Conclusion 374 Fuzzy Logics and Marketing Decisions 41Mohammed Majeed4.1 Introduction 414.2 Literature 424.3 Conclusion 464.4 Further Studies 475 A Method for Ranking Fuzzy Numbers Based on Their Value, Ambiguity, Fuzziness, and Vagueness 51Sunayana Saikia and Rituparna Chutia5.1 Introduction 515.2 Preliminaries 545.3 The Designed Method 565.4 Validate the Reasonableness of the Suggested Ranking Algorithm 685.5 Comparative Analysis and Numerical Examples 755.6 Application 875.7 Conclusions 946 Evacuation of Attributes to Translucent TNSET in Mathematics Using Rough Topology 99Kala Raja Mohan, R. Narmada Devi, Nagadevi Bala Nagaram, Sathish Kumar Kumaravel and Regan Murugesan6.1 Introduction 996.2 Basic Concepts of Rough Topology 1006.3 Algorithm 1026.4 Information System 1026.5 Working Procedure 1046.6 Conclusion 1047 Design of Type-2 Fuzzy Controller for Hybrid Multi-Area Power System 107Susmit Chakraborty, Arindam Mondal and Soumen Biswas7.1 Introduction 1087.2 Plant Model 1087.3 Controller Design 1097.4 Levenberg-Marquardt Algorithm 1157.5 Optimization of Controller Parameters Using CASO Algorithm 1167.6 Result and Analysis 1167.7 Conclusion 1218 Alzheimer's Detection and Classification Using Fine-Tuned Convolutional Neural Network 125Anooja Ali, Sarvamangala D. R., Meenakshi Sundaram A. and Rashmi C.8.1 Introduction 1258.2 Literature Review 1298.3 Methodology 1338.3.1 Dataset 1348.3.2 Pre-Processing 1348.4 Implementation and Results 1348.5 Conclusion 1389 Design of Fuzzy Logic-Based Smart Cars Using Scilab 143Josiga S., Maheswari R. and Subbulakshmi T.9.1 Introduction 1439.2 Literature Survey 1459.3 Proposed Fuzzy Inference System for Smart Cars 1499.4 Implementation Details and Results 1559.5 Conclusion and Future Work 15610 Financial Planning and Decision Making for Students Using Fuzzy Logic 159G. Surya Deepan and T. Subbulakshmi10.1 Introduction 15910.2 Literature Review 16110.3 System Architecture 16310.4 Conclusion and Future Scope 16911 A Novel Fuzzy Logic (FL) Algorithm for the Automatic Detection of Oral Cancer 173M. Praveena Kiruba bai and G. Arumugam11.1 Introduction 17311.2 Image Enhancement 17411.3 Gabor Transform 17511.4 Image Transformation 17511.5 Adaptive Networks: Architecture 17611.6 Results and Discussions 17711.7 Conclusion 17712 A Study on Decision Making of Difficulties Faced by Indian Workers Abroad by Using Rough Topology 179Nagadevi Bala Nagaram, R. Narmada Devi , Kala Raja Mohan, Regan Murugesan and Sathish Kumar Kumaravel12.1 Introduction 17912.2 Fundamental Idea of Rough Topology 18212.3 Algorithm 18312.4 Information System 18312.5 Working Procedure 18512.6 Conclusion 18513 Case Study on Fuzzy Logic: Fuzzy Logic-Based PID Controller to Tune the DC Motor Speed 187Devendra Kumar Somwanshi13.1 Introduction 18813.2 Literature Review 19013.3 Design of Fuzzy-Based PID Controller 19613.4 Experimental Work and Results Analysis 20513.5 Conclusion and Future Scope 20714 Application of Intuitionistic Fuzzy Network Using Efficient Domination 213A. Meenakshi, J. Senbagamalar and A. Kannan14.1 Introduction 21314.2 Efficient Domination in Intuitionistic Fuzzy Graph (IFG) 21514.3 Main Frame Work 21714.4 Secret Key 21914.5 Illustration 22414.6 Conclusion 23115 Analysis of Parameters Related to Malaria with Comparative Study on Fuzzy Cognitive Maps and Neutrosophic Cognitive Maps 233Regan Murugesan, Sathish Kumar Kumaravel, Kala Raja Mohan, Narmada Devi Rathinam and Suresh Rasappan15.1 Introduction 23315.2 Parameters of Malaria 23515.3 Fuzzy Cognitive Map 23515.4 Neutrosophic Cognitive Map 24015.5 Comparison and Discussion 24615.6 Conclusion 24716 Applications of Fuzzy Cognitive Maps and Neutrosophic Cognitive Maps on Analysis of Dengue Fever 249Sathish Kumar Kumaravel, Regan Murugesan, Nagadevi Bala Nagaram, Suresh Rasappan and G. Yamini16.1 Introduction 24916.2 Parameters of Dengue 25116.3 Fuzzy Cognitive Maps 25116.4 Neutrosophic Cognitive Map 25716.5 Comparison and Discussion 26316.6 Conclusion 26417 A Comprehensive Review and Analysis of the Plethora of Branches of Medical Science and Bioinformatics Based on Fuzzy Logic 267Partha Sarker and Siddhartha Roy17.1 Introduction 26717.2 Previous Work 27117.3 Fuzzy Logic in Medical Fields and Bioinformatics 27117.4 Review of Published Work and In-Depth Analysis 27317.5 Conclusion 273References 277Index 279