Recent Developments and the New Directions of Research, Foundations, and Applications: Selected Papers of the 8th World Conference on Soft Computing, February 03–05, 2022, Baku, Azerbaijan, Vol. II

Description

This book is a collection of papers presented during the 8th World Conference on Soft Computing in February 2022. The papers cover multiple areas important for soft computing. Some papers are dedicated to fundamental aspects of soft computing, i.e., fuzzy mathematics, type-2 fuzzy sets, evolutionary-based optimization, aggregation, and neural networks. Others emphasize the application of soft computing methods to data analysis, image processing, decision-making, classification, series prediction, economics, control, and modeling. Preface Contents Fuzzy Recognition Problems Difficulties in Recognizing Flat Figures 1 Introduction 2 Problems Without Sustainable Solutions 3 Difficulties in Recognizing Flat Figures 4 Conclusion References The Problem of Parsing and Recognizing Individual Objects of Information on Base of Fuzzy Logic 1 Introduction 2 Recognition of All Available Objects 3 Visual Information 4 Audio Information 5 Conclusion References Call Center and Robot Call Center How to Reduce the Cost 1 Introduction 2 Modern Call Centers and Their Problems 3 Determination of the Optimal Number of Operators 4 Robot Call Center 5 Robot-Operator 6 Discussion References Learning and Self-education of Complex Types of Objects 1 Introduction 2 Learning the System for New Information Objects 3 System Learning. Self-learning Mode 4 Conclusion References Probabilistic Uncertainty Why Moving Fast and Breaking Things Makes Sense? 1 Formulation of the Problem 2 Description of the Model 3 The Main Stage of Optimization: General Analysis 4 The Main Stage of Optimization: Case of the Traditional Engineering Methodology 5 The Main Stage of Optimization: Case of the Moving-Fast Software-Motivated Methodology References Shall We Be Foxes or Hedgehogs: What Is the Best Balance for Research? 1 Foxes and Hedgehogs 2 Let Us Model the Situation 3 Let Us Solve the Resulting Optimization Problem and Thus Find the Optimal Balance Between Fox and Hedgehog Strategies References How to Gauge Students' Ability to Collaborate? 1 Formulation of the Problem 2 How Group Productivity Depends on the Ability to Collaborate 3 Analysis of the Problem: When We Can Determine the Values Ci (and How) and When We Cannot Reference Need to Combine Interval and Probabilistic Uncertainty: What Needs to Be Computed, What Can Be Computed, What Can Be Feasibly Computed, and How Physics Can Help 1 Need to Combine Interval and Probabilistic Uncertainty: Linearized Case 2 General Case: What Can Be Computed? 3 Taking into Account that We Process Physical Data 4 How to Take into Account that We Can Use Non-standard Physical Phenomena to Process Data 5 Physical and Computational Consequences 6 Relation with Randomness 7 Proofs of Results Not Proven in the Main Text References Ethical Dilemma of Self-driving Cars: Conservative Solution 1 Formulation of a Problem 2 How to Solve the Problem: Main Idea 3 How to Solve the Problem: Details References Intelligent Methods and Fuzzy Approach Transformer-Based Approaches to Sentiment Detection 1 Introduction 2 Literature Review 3 Methodology 3.1 Data 3.2 Models 4 Experiments and Results 5 Conclusion References Automatic Humor Classification: Analysis Between Embeddings and Models 1 Introduction 1.1 Humor Us 2 Dataset 2.1 Characteristics and Curiosities 3 Models and Parameters 3.1 Transformer Models 3.2 CNN Model with Embeddings 4 Results 4.1 Tabular Results 4.2 Classification Examples 4.3 ELI5 Prospection 5 State of Art 6 Conclusions References Skin Cancer Diagnosis Enhancement Through NLP and DNN-Based Binary Classification 1 Introduction 1.1 About Cancer 1.2 Machine Learning Approaches for Cancer Detection 2 State of the Art 2.1 Text-Based Methods for Machine Learning Detection of Skin Cancer 3 Proposed Method 3.1 Proposed Methodology 3.2 Description of the Method 4 Results 5 Comparison with the State of the Art 6 Conclusions References Analysis of Fake News Detection Methods 1 Introduction 2 Literature Review and Fake News Detection in Urdu 3 Datasets Collection and Annotation 3.1 Real News Collection 3.2 Professional Crowdsourcing of Fake News 3.3 Training and Testing Datasets 4 Methods for Fake News Detection 4.1 Features Creation 4.2 Machine Learning Algorithms 4.3 Deep Learning Algorithms 4.4 Transfer Learning 4.5 Evaluation Metrics 5 Conclusions References Decision Making in a Distributed Intelligent Personnel Health Management System on Offshore Oil Platform 1 Introduction 2 Methodological Approaches to the Development of a Health Managing System for Human Resources Employed on Offshore Oil Platforms 2.1 Concept of a Person-Centered Approach 2.2 Architecture DIS for Managing the Health of Shift Workers 2.3 Principles of Functioning of Distributed Intelligent System Determining Approaches to the Implementation of Decision-Making Processes 3 Decision Support in a Distributed Intelligent Health Management System for OOP Personnel 4 Discussion 5 Conclusion References Methods and Applications in Medicine Balance-Based Fuzzy Logic Approach for the Classification of Liver Diseases Due to Hepatitis C Virus 1 Introduction 2 Related Studies: A Brief Review 3 Liver Diseases Due to Hepatitis C Virus 4 Proposed Method 4.1 Balance-Based Fuzzy Logic Approach 4.2 Artificial Chromosome Structure for GA Procedures 5 Experimental Study 5.1 Prepared Dataset 5.2 Implementation of the Proposed Method to the Problem 5.3 Parameter Settings 5.4 Results 6 Conclusion and Future Studies References Scale-Invariance-Based Pre-processing Drastically Improves Neural Network Learning: Case Study of Diagnosing Lung Dysfunction in Children 1 Formulation of the Problem 2 First Pre-processing Stage: Scale-Invariant Smoothing 3 Which Order Polynomials Should We Use? 4 Second Pre-processing Stage: Using the Approximating Polynomials to Distinguish Between Different Diseases 5 Third Pre-processing Stage: Scale-Invariant Similarity/Dissimilarity Measures 6 How to Select α: Need to Have Efficient and Robust Estimates 7 Scale-Invariance Helps to Take into Account That Signal Informativeness Decreases with Time 8 Pre-processing Summarized: What Information Serves as an Input to a Neural Network 9 The Results of Training Neural Networks on These Pre-processed Data References Comparative Analysis of Parametric Optimization Techniques: Fuzzy DSS for Medical Diagnostics 1 Introduction 2 Hierarchical Fuzzy DSS for Medical Diagnostics 3 Parametric Optimization of the Fuzzy DSS for Heart Disease Diagnostics 4 Conclusions References What About Generic ``And''- And ``Or''-Operations: From Levels of Certainty (Philosophical– Physical–Mathematical) to a Natural Interpretation of Quantum-Like Negative Degrees of Certainty 1 Why Study Generic ``And''- And ``Or''-Operations 2 Analysis of the Problem 3 First Consequence: Levels of Certainty Naturally Appear 4 Below 0 and Above 1? References Fuzzy Control Systems A Survey of Empathetic Generative Chatbots 1 Introduction 2 Theorical Framework 2.1 Chatbots Classification 2.2 Chatbot Evaluation 3 Emotional-Aware Generative Chatbots 4 The Use of Transformers to Build Emotional Chatbots 5 Discussion References Two-Level Classifier for Detecting Categories of Offensive Language 1 Introduction 2 Methodology 3 Results 4 Conclusion References Tuning of Fuzzy Control Systems by Artificial Bee Colony with Dynamic Parameter Values Algorithm for Traction Power System 1 Introduction 2 Traction Power Systems 2.1 Train Movement Calculation 2.2 Power Consumed by a Train 3 Proposed Method and Implementation 3.1 Artificial Bee Colony (ABC) Algorithm 3.2 Algorithm Artificial Bee Colony with Dynamic Parameter Values (ABC–DPV) Algorithm 3.3 FCS Design by ABC–DPV 4 Experimental Study 4.1 Prepared Dataset 4.2 Experiment Design 4.3 Results 5 Conclusion References New Approach for Solving Fully Interval-Value Fuzzy Transportation Problems 1 Introduction 2 Preliminaries 3 Fully Interval-Valued Fuzzy Transportation Problems 4 New Approach 5 Numerical Example 6 Conclusions References Generalized Differentiability of Fuzzy-Valued Convex Functions and Applications 1 Introduction 2 One-Dimensional Fuzzy-Valued Convex Functions 3 g-Differentiability of Fuzzy-Valued Convex Functions 4 g-Subdifferential of the Fuzzy-Valued Convex Function 5 Fuzzy Convexity and Fuzzy Convex Optimization 6 Conclusion References Fuzzy Simulation Applications of Autoregressive Process for Forecasting of Some Stock Indexes 1 Introduction 2 Formulation of Problem 3 Mathematical Model and Solution Algorithm of the Problem 4 Conclusion References Improving Intersection Traffic Management Solutions by Means of Simulation: Case Study 1 Introduction 2 Analysis of the State of Organization of Traffic at the Intersection 3 Improving the Organization and Regulation of Traffic in a Road Junction Using Anylogic 4 Conclusion References Necessary Optimality Condition in Linear Fuzzy Optimal Control Problem with Delay 1 Introduction 2 Definitions and Preliminaries 3 Problem Statement 4 Formula Increment Quality Criterion and Main Result References Modeling the Movement of Mudflows in River Basins 1 Introduction References Fuzzy Applications and Measurement Systems Development of a Combined Test Algorithm to Increase the Intelligence of Measurement Systems 1 Introduction 2 Problem Statement 3 Problem Solution 4 The Combined Test Method Increases the Accuracy of Measurement 5 Result References Simulation of Statistical and Spectral Characteristics of Surficial Sea-Ways in Reservoirs 1 Introduction 2 Problem Statement 3 Problem Solutions 4 Conclusions References The Main Directions of the Use of Innovations in Industrial Production in Azerbaijan 1 Statement of the Main Material of the Research References Author Index