This book presents a set of soft computing approaches and their application in data analytics, classification model, and control. The basics of fuzzy logic implementation for advanced hybrid fuzzy driven optimization methods has been covered in the book. The various soft computing techniques, including Fuzzy Logic, Rough Sets, Neutrosophic Sets, Type-2 Fuzzy logic, Neural Networks, Generative Adversarial Networks, and Evolutionary Computation have been discussed and they are used on variety of applications including data analytics, classification model, and control.
The book is divided into two thematic parts. The first thematic section covers the various soft computing approaches for text classification and data analysis, while the second section focuses on the fuzzy driven optimization methods for the control systems. The chapters has been written and edited by active researchers, which cover hypotheses and practical considerations; provide insights into the design of hybrid algorithms for applications in data analytics, classification model, and engineering control.
Author(s): Deepak Gupta, Aditya Khamparia, Ashish Khanna, Oscar Castillo
Series: Studies in Fuzziness and Soft Computing, 413
Publisher: Springer
Year: 2022
Language: English
Pages: 173
City: Singapore
Preface
Contents
Fuzzy Logic Implication and Usage in Text Classification and Medical Data Analytics
An Optimization of Fuzzy Rough Set Nearest Neighbor Classification Model Using Krill Herd Algorithm for Sentiment Text Analytics
1 Introduction
2 The Proposed FRSNN-KH Model
2.1 Fuzzy-Rough Set Theory
2.2 Fuzzy-Rough Set Nearest Neighbours (FRSNN)-Based Classification
2.3 Optimal Rule Set Generation Using KH Algorithm
3 Performance Validation
3.1 Dataset
3.2 Results
4 Conclusion
References
Fuzzy Wavelet Neural Network with Social Spider Optimization Algorithm for Pattern Recognition in Medical Domain
1 Introduction
2 The Proposed SSO-FWNN Model
2.1 FWNN Model
2.2 SSO Algorithm
2.3 Hybridization of Parameter Optimization of FWNN Model
3 Performance Validation
4 Conclusion
References
Fuzzy with Gravitational Search Algorithm Tuned Radial Basis Function Network for Medical Disease Diagnosis and Classification Model
1 Introduction
2 The Proposed FGSA-RBF Model
2.1 Architecture of RBF Model
2.2 Gravitational Search Algorithm
2.3 Fuzzy Logic in Gravitational Search Algorithm to Change Alpha Value
3 Performance Validation
4 Conclusion
References
Optimal Neutrosophic Rules Based Feature Extraction for Data Classification Using Deep Learning Model
1 Introduction
2 Literature Review
3 Research Gap in Current System
4 Methodology of the Proposed Work
4.1 Preprocessing: Removal of Missing Information
4.2 KPCA for Feature Reduction
4.3 Neutrosophic Set (NS) Generation
4.4 Oppositional Elephant Herding Algorithm (OEHA)
4.5 NS-Based Data Classification Model
5 Result and Analysis
5.1 Database Description
5.2 Performance Measures
5.3 Comparative Analysis
6 Conclusion
References
Fuzzy Driven Optimization Methods and Control Systems
Self-Evolving Interval Type-2 Fuzzy Neural Network Design for the Synchronization of Chaotic Systems
1 Introduction
2 The Structure of the SEIT2F-AMF Controller
3 Parameter Learning and Structure Learning Algorithms
3.1 Parameter Learning Algorithm
3.2 Structure Learning Algorithm
4 Simulation Results
5 Conclusion
References
Categorizing Relations via Semi-supervised Learning Using a Hybrid Tolerance Rough Sets and Genetic Algorithm Approach
1 Introduction
2 Literature Survey
3 Problem Statement
3.1 Objectives
4 Methodology
4.1 Dataset Details
4.2 Co-occurrence Matrix Generation
4.3 Tolerant Pattern Learner (TPL) with Genetic Algorithm
4.4 Implementation Details
5 Results
6 Conclusion
References
Data-Driven Fuzzy C-Means Equivalent Turbine-Governor for Power System Frequency Response
1 Introduction
2 Power Systems Preliminaries
3 Methodology
3.1 FCM Modelling Systems
3.2 Fuzzy Logic and Fuzzy Inference System (FIS)
4 ANFIS Modelling
5 Test Power Systems
5.1 Test System I: Modified Three Area System
5.2 Test System 2: Great Britain Power System
6 FCM and ANFIS Based Equivalent Turbine-Governor
7 Simulation Results
8 Conclusions
References
Multicriteria Group Decision Making Using a Novel Similarity Measure for Triangular Fuzzy Numbers Based on Their Newly Defined Expected Values and Variances
1 Introduction
2 Preliminaries
3 Proposed SM Approach
4 Comparative Analysis of the Similarity Measures
5 FMCGDM Method with the Proposed SM Approach
5.1 Ilustrated Example
6 Concluding Remarks
References
Bangla Printed Character Generation from Handwritten Character Using GAN
1 Introduction
2 Literature Review
3 Dataset
4 Proposed Architecture for Bangla Printed Character Generation
5 Experimental Result
6 Conclusion
References
