FUZZY COMPUTING IN DATA SCIENCE This book comprehensively explains how to use various fuzzy-based models to solve real-time industrial challenges. The book provides information about fundamental aspects of the field and explores the myriad applications of fuzzy logic techniques and methods. It presents basic conceptual considerations and case studies of applications of fuzzy computation. It covers the fundamental concepts and techniques for system modeling, information processing, intelligent system design, decision analysis, statistical analysis, pattern recognition, automated learning,…mehr
This book comprehensively explains how to use various fuzzy-based models to solve real-time industrial challenges.
The book provides information about fundamental aspects of the field and explores the myriad applications of fuzzy logic techniques and methods. It presents basic conceptual considerations and case studies of applications of fuzzy computation. It covers the fundamental concepts and techniques for system modeling, information processing, intelligent system design, decision analysis, statistical analysis, pattern recognition, automated learning, system control, and identification. The book also discusses the combination of fuzzy computation techniques with other computational intelligence approaches such as neural and evolutionary computation.
Audience
Researchers and students in computer science, artificial intelligence, machine learning, big data analytics, and information and communication technology.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Sachi Nandan Mohanty, PhD, received his doctorate from IIT Kharagpur in 2015 and his PostDoc from IIT Kanpur in 2019. He has recently joined as an associate professor at VIT-AP University, Andhra Pradesh. He has edited 24 books and published more than 100 research papers in international journals and has been elected as Fellow of the Institute of Engineers and Senior member of IEEE Computer Society Hyderabad chapter. His research areas include data mining, big data analysis, cognitive science, fuzzy decision-making, brain-computer interface, and computational intelligence. Prasenjit Chatterjee, PhD, is an associate professor in the Mechanical Engineering Department at MCKV Institute of Engineering, India. He has more than 80 research papers in various international SCI journals. Dr. Chatterjee is one of the developers of a new multiple-criteria decision-making method called Measurement of Alternatives and Ranking according to Compromise Solution (MARCOS). Bui Thanh Hung, PhD, is the Director of Artificial Intelligence Laboratory, Faculty of Information Technology, Ton Duc Thang University, Vietnam, and received his doctorate from Japan Advanced Institute of Science and Technology (JAIST) in 2013. He has published numerous research articles in international journals and conferences as well as 14 book chapters. His main research interests are natural language processing, machine learning, machine translation, text processing, data analytics, computer vision, and artificial intelligence.
Inhaltsangabe
Preface xvii
Acknowledgement xxi
1 Band Reduction of HSI Segmentation Using FCM 1 V. Saravana Kumar, S. Anantha Sivaprakasam, E.R. Naganathan, Sunil Bhutada and M. Kavitha
1.1 Introduction 2
1.2 Existing Method 3
1.2.1 K-Means Clustering Method 3
1.2.2 Fuzzy C-Means 3
1.2.3 Davies Bouldin Index 4
1.2.4 Data Set Description of HSI 4
1.3 Proposed Method 5
1.3.1 Hyperspectral Image Segmentation Using Enhanced Estimation of Centroid 5
1.3.2 Band Reduction Using K-Means Algorithm 6
1.3.3 Band Reduction Using Fuzzy C-Means 7
1.4 Experimental Results 8
1.4.1 DB Index Graph 8
1.4.2 K-Means-Based PSC (EEOC) 9
1.4.3 Fuzzy C-Means-Based PSC (EEOC) 10
1.5 Analysis of Results 12
1.6 Conclusions 16
References 17
2 A Fuzzy Approach to Face Mask Detection 21 Vatsal Mishra, Tavish Awasthi, Subham Kashyap, Minerva Brahma, Monideepa Roy and Sujoy Datta
2.1 Introduction 22
2.2 Existing Work 23
2.3 The Proposed Framework 26
2.4 Set-Up and Libraries Used 26
2.5 Implementation 27
2.6 Results and Analysis 29
2.7 Conclusion and Future Work 33
References 34
3 Application of Fuzzy Logic to the Healthcare Industry 37 Biswajeet Sahu, Lokanath Sarangi, Abhinadita Ghosh and Hemanta Kumar Palo
3.1 Introduction 38
3.2 Background 41
3.3 Fuzzy Logic 42
3.4 Fuzzy Logic in Healthcare 45
3.5 Conclusions 49
References 50
4 A Bibliometric Approach and Systematic Exploration of Global Research Activity on Fuzzy Logic in Scopus Database 55 Sugyanta Priyadarshini and Nisrutha Dulla
1 Band Reduction of HSI Segmentation Using FCM 1 V. Saravana Kumar, S. Anantha Sivaprakasam, E.R. Naganathan, Sunil Bhutada and M. Kavitha
1.1 Introduction 2
1.2 Existing Method 3
1.2.1 K-Means Clustering Method 3
1.2.2 Fuzzy C-Means 3
1.2.3 Davies Bouldin Index 4
1.2.4 Data Set Description of HSI 4
1.3 Proposed Method 5
1.3.1 Hyperspectral Image Segmentation Using Enhanced Estimation of Centroid 5
1.3.2 Band Reduction Using K-Means Algorithm 6
1.3.3 Band Reduction Using Fuzzy C-Means 7
1.4 Experimental Results 8
1.4.1 DB Index Graph 8
1.4.2 K-Means-Based PSC (EEOC) 9
1.4.3 Fuzzy C-Means-Based PSC (EEOC) 10
1.5 Analysis of Results 12
1.6 Conclusions 16
References 17
2 A Fuzzy Approach to Face Mask Detection 21 Vatsal Mishra, Tavish Awasthi, Subham Kashyap, Minerva Brahma, Monideepa Roy and Sujoy Datta
2.1 Introduction 22
2.2 Existing Work 23
2.3 The Proposed Framework 26
2.4 Set-Up and Libraries Used 26
2.5 Implementation 27
2.6 Results and Analysis 29
2.7 Conclusion and Future Work 33
References 34
3 Application of Fuzzy Logic to the Healthcare Industry 37 Biswajeet Sahu, Lokanath Sarangi, Abhinadita Ghosh and Hemanta Kumar Palo
3.1 Introduction 38
3.2 Background 41
3.3 Fuzzy Logic 42
3.4 Fuzzy Logic in Healthcare 45
3.5 Conclusions 49
References 50
4 A Bibliometric Approach and Systematic Exploration of Global Research Activity on Fuzzy Logic in Scopus Database 55 Sugyanta Priyadarshini and Nisrutha Dulla
