12th World Conference “Intelligent System for Industrial Automation” (WCIS-2022)

Preface
Organization
Contents
Z-Number-Valued Clustering
Evolution of Cyber Physical Systems Towards Industrial Metaverse
Intellectual Device for Measuring the Humidity of Bulk Materials
	1 Introduction
		1.1 Research Object
		1.2 The Relevance of the Work
	2 Methods
	3 Results
	4 Conclusions
	References
University Selection by Using Z-TOPSIS Methodology
	1 Introduction
	2 Preliminaries
	3 Statement of the Problem and Z-TOPSIS
	4 Experimental Verification of the Z-TOPSIS Method
	5 Conclusion
	References
Industrial Metaverse: Solutions from a Higher-Dimensional World
	1 Introduction
	2 Pilot Projects
	3 Building Industrial Metaverses
		3.1 Digitalization
		3.2 Actualization
	4 Benefiting from Industrial Metaverses
		4.1 Productivity Tool
		4.2 Education and Training
		4.3 Industrial Integration and Upgrading
	5 Growing Interest
	6 Concluding Remarks
	References
Informativeness of Feature Sets in Data with Missing Values
	1 Introduction
	2 Methods
		2.1 Splitting into Intervals According to the Criterion of Dominance of Representatives of Classes
		2.2 Membership Function and Stability of Feature
		2.3 Formation of a Sequence of Features According to Stability
	3 Results
	4 Conclusion
	References
Diagnosis of Faults in Electro-Mechanical Devices from Vibration Measurements
	1 Introduction
		1.1 Problem Statement
		1.2 Aims and Objectives
	2 Methodology
		2.1 Expected Results
	3 Machine Diagnosis Analysis
		3.1 AI in Mechanical Engineering
		3.2 Classification Algorithms
	4 Results and Discussion
	5 Conclusion
	References
A Comprehensive but Simple Method Decision Making in Z-Environment
	1 Introduction
	2 Preliminaries
	3 Problem Statement and Solution
	4 An Application Business Location Selection
	5 Conclusion
	References
Classification of Threats to Information Security of the “Smart Home” System
	1 Introduction
	2 Main Part
	3 Conclusions
	References
Finding Individual Feature Space for Quick Decision
	1 Introduction
	2 Methodology
	3 Realization of the Concept
	4 Computational Experiment
	References
Development of Reliable TOPSIS Method Using Intuitionistic Z-Numbers
	1 Introduction
	2 Preliminaries
	3 TOPSIS Using Intuitionistic Z-Number
	4 Supplier Selection Problem
	5 Results and Discussion
	6 Conclusion
	References
Analysis of Algorithm of Binary Classifiers to Improve Attack Detection Systems
	1 Introduction
	2 Literature Review
	3 Materials and Methods
	4 Analysis and Results
	5 Conclusions
	References
Features of Intuitionistic Fuzzy Logic Application in Software Algorithms
	1 Introduction
	2 Basic Approaches to the Construction of Intuitionistic Fuzzy Sets
	3 Development of Complex Algorithms for the Analysis of Data Sets Based on Intuitionistic Fuzzy Sets
	4 Representation of Intuitionistic Fuzzy Sets as Intervals
	5 Conclusion
	References
Defect Detection of Casting Products Using Convolutional Neural Network
	1 Introduction
	2 Materials and Methods
		2.1 Dataset
		2.2 Convolutional Neural Networks
		2.3 Evaluation Metrics
	3 Experiments, Results, and Discussions
		3.1 Experiments
		3.2 Results
		3.3 Discussions
	4 Conclusion
	References
A New Type of Architecture for Neural Networks with Multi-connected Weights in Classification Problems
	1 Introduction
	2 Description of the Architecture
	3 The Structure of MCNN Model and Main Result
		3.1 Training the MCNN
	4 Computational Experiments
	5 Conclusion
	References
Using the Capabilities of Artificial Neural Networks in the Cryptanalysis of Symmetric Lightweight Block Ciphers
	1 Introduction
	2 Overview of Artificial Neural Network
		2.1 Components of Artificial Neural Networks
		2.2 Activation Function
		2.3 Rectified Linear Unit (ReLu) Function
		2.4 Loss Function
		2.5 Mean Squared Error
		2.6 Optimizer
		2.7 Epoch
	3 Simplified AES Algorithm
	4 Methods
	5 Attack Experiments and Results
	6 Conclusion
	References
Intuitionistic Fuzzy Evaluation of Basic Human Needs
	1 Introduction
	2 Statement of the Problem
	3 An Algorithm for Computation of BHNI
	4 Computation Results of BHNI
	5 Conclusion
	References
Interpretable Neural Network Models in School Teacher Success Prediction
	1 Introduction
	2 Data
	3 Methods
		3.1 Neural Networks
		3.2 Integrated Gradients
		3.3 SHAP
	4 Results
	5 Conclusion
	References
E-payment Systems Security Solutions Using Facial Authentication Based on Artificial Neural Networks
	1 Introduction
		1.1 Threats to the Security of e-payment Systems in Uzbekistan
	2 Method and Materials
		2.1 Proposed Methodology
		2.2 The Principle of Operation of the System
	3 Conclusion
	References
Development of a Prototype of a Medical Application Using a Type-2 Fuzzy Inference System
	1 Introduction
	2 Research Methods
	3 Study
	4 Implementation
	5 The Results Obtained
	6 Conclusion
	References
Model of Circuits of Anti-repeat Relays of Train Routes
	1 Introduction
	2 Methods
	3 Results and Discussion
	4 Conclusion
	References
Brief Introduction to Type-3 Fuzzy Rules
	1 Introduction
	2 Preliminaries
	3 Comparative Analysis Between Type-1, Type-2 and Type-3 Fuzzy Rules
	4 Conclusion
	References
Improved System of Remote Monitoring, Control and Diagnosis of the State of Oil Raw Materials in the Process of Its Storage
	1 Introduction
	2 Technical Results from the Implementation of the System
		2.1 Adaptive System for Remote Monitoring, Control and Diagnostics
	3 Defuzzification
	4 Conclusion
	References
Design of Intelligent Greenhouse Environment Monitoring and Control System Based on Qt
	1 Introduction
	2 Overall System Design
	3 System Hardware Part Design
		3.1 Host Controller
		3.2 Lower Level Controller
		3.3 Sensors
	4 System Software Part Design
		4.1 Data Collection and Storage
		4.2 Feedback Control
		4.3 Data Display
	5 System Test
	6 Conclusion
	References
Algorithms for Stable Compensation of Unmeasurable Perturbations in Control Systems for Dynamic Objects
	1 Introduction
	2 Problem Statement
	3 Regularization Algorithms for Solving Systems of Linear Algebraic Equations
	4 Conclusion
	References
Technology for Creating Systems for Monitoring and Predictive Modeling the State of Hazardous Phenomena and Objects (on the Example of the Covid-19 Epidemic)
	1 Introduction
	2 Creation of Systems for Monitoring and Predictive Modeling the State of Hazardous Phenomena and Objects
	3 Conclusion
	References
Decision Making on Job Selection Under Risk by Using Type-2 Fuzzy Logic
	1 Introduction
	2 Preliminaries
	3 Statement of the Problem
	4 Solution of the Problem
	5 Conclusion
	References
Methodology for Building a Medical Expert System for Disease Diagnosis
	1 Introduction
	2 Analysis of the Characteristics of the Decision Tree
	3 Organization of the Database and Software Implementation of the Algorithm
	4 Conclusion
	References
Determination of Connection Between Fractal Dimensions and Fuzzy Modeling
	1 Introduction
	2 Methods
	3 Results
	4 Conclusion
	References
The Effect of Locus of Control and Thinking Style on Impulse Buying Behaviour from the Perspectives on Gender Differences
	1 Introduction
	2 Literature Review
		2.1 Locus of Control
		2.2 Thinking Style
		2.3 Impulse Buying Behaviour
	3 Methodology
		3.1 Data Analysis
	4 Results and Discussion
		4.1 Preliminaries
	5 Solution of the Problem
	6 Conclusion
	References
Study of Decentralized Resource Allocation System Under Partial Uncertainty
	1 Introduction
	2 Analysis of the Decentralized Energy Distribution System
	3 Application of Approximate Methods to Optimize Resource Allocation
	4 Formalization of the Distribution Problem in a Fuzzy Form
	5 Evaluation of Effectiveness
	6 Conclusion
	References
Using Intelligent System for Diagnosis of Chronic Hepatitis B
	1 Introduction
	2 Intelligent Systems
	3 Methodology of the Problem
	4 Intelligent System Design
	5 Conclusion
	References
Applying Multi-layer Perceptron Neural Network to Predict Wind Speed in Lebanon
	1 Introduction
	2 Material and Methods
		2.1 Study Area and Data
		2.2 Multi-Layer Perceptron Neural Network (MLPNN)
		2.3 Prediction of Wind Speed Prediction with Selected Inputs
		2.4 Statistical Indices
	3 Results and Discussion
		3.1 Data Characteristics
		3.2 Evaluate the Influence of Input Variables
	4 Conclusions
	References
Intelligent Systems Applications in Gastronomy
	1 Introduction
	2 Materials and Methods
	3 Literary Research
		3.1 Information Technologies
		3.2 Intelligent Systems Usage Areas
		3.3 Hardware and Software
		3.4 Intelligent Systems and Fuzzy Logic
	4 Conclusion
	References
Application of Artificial Neural Network to Improve DRASTIC-Based Groundwater Vulnerability Assessment
	1 Introduction
	2 Materials and Methods
		2.1 Introduction of Study Area
		2.2 DRASTIC Model
		2.3 Artificial Neural Network
	3 Validation
	4 Results and Discussion
	5 Conclusion
	References
Prediction of Dynamic Viscosity of Biodiesel Using Various Artificial Neural Network Methods, Response Surface Methodology, and Multiple Linear Regressions
	1 Introduction
	2 Material and Methods
		2.1 Materials and Experimental Setup
		2.2 Artificial Neural Networks (ANNs)
		2.3 RSM Model
		2.4 MLR Model
	3 Results and Discussion
		3.1 Estimating the Dynamic Viscosity Using Various Empirical Models
		3.2 Estimating the Dynamic Viscosity Using RSM and MLR Models
		3.3 Evaluation of the Model’s Performance
	4 Conclusions
	References
Ranking Faculties in Universities by Using Fuzzy Hierarchical Approach
	1 Introduction
	2 Preliminaries
	3 Statement of the Problem and Solution Method
	4 Conclusion
	References
Geometric Modeling and Calculating Measure of Fractal Structures by the Method of Arithmetic Characteristic Binomial Polynomials
	1 Introduction
	2 Problem Statement
		2.1 Calculation Results
	3 Conclusion
	References
Energy and Information Method of Computer-Aided Design for Elements of Control Systems
	1 Introduction
	2 Information Technology of CAD for Elements of Control Systems
		2.1 Energy-Information Models of Knowledge About Physical and Technical Effects
		2.2 Apparatus of Parametric Structural Schemes (PSS)
		2.3 Morphological Synthesis of the Technical Implementation of Block Diagram’s Elements
		2.4 Generalized Methods for Improving the Performance Characteristics of the Synthesized Structure
	3 Using the EIM Method for CAD Synthesis of Biosensors
	4 Conclusion
	References
Comparison of Classic Mean-Variance and Fuzzy Model Approaches to Portfolio Selection Problem
	1 Introduction
	2 Preliminaries
	3 Solution Methodologies
		3.1 Problem Statement
		3.2 Investment Portfolio Selection with Crisp Numbers
		3.3 Investment Portfolio Selection Using Fuzzy Approach
	4 Discussions
	References
Search for Hidden Patterns in the Study of Coronavirus Patients Using Data Mining Methods
	1 Introduction
	2 Methods
	3 Results
	4 Conclusion
	References
Rank Reversal Free Approach to Decision Making Under Z-information
	1 Introduction
	2 Preliminaries
	3 Statement of the Problem and Its Solution
	4 Example
	5 Conclusions
	References
Application of TOPSIS Method for Project Proposal Selection
	1 Introduction
	2 Preliminaries
	3 Statement of the Problem and Solution
	4 Conclusion
	References
Toward Z-number Valued Reinforcement Learning Problem
	1 Introduction
	2 Preliminaries
	3 Statement of the Problem and a Solution Method
	4 An Example
	5 Conclusion
	References
Best Lecturer Selection on the Base of ESPLAN Shell
	1 Introduction
	2 Preliminaries
	3 Statement of the Problem and Solution
	4 Conclusion
	References
Job Satisfaction in Zimbabwe Hospitality Industry: Case Study of Victoria Falls
	1 Introduction
	2 Method
		2.1 Study Instrument
		2.2 Sample
	3 Results
		3.1 Job Facets Mean Scores and Standard Deviations of the Minnesota Satisfaction Questionnaire
		3.2 Overall Job Satisfaction
	4 Discussion
	References
The Effect of Locus of Control and Thinking Style on Impulse Buying Behaviour
	1 Introduction
	2 Literature Review
		2.1 Thinking Style
		2.2 Locus of Control
		2.3 Impulse Buying Behaviour
	3 Methodology
		3.1 Research Model and Hypothesis Development
		3.2 Data Analysis
	4 Results
		4.1 Findings Regarding the Relationships Between the Variables
	5 Discussion and Conclusion
	References
Solving Transportation Problem with Z-information
	1 Introduction
	2 Preliminaries
	3 Statement of Problem
	4 Application of Method
	5 Conclusion
	References
Identification of the Effect of Geographical Coordinates on the Accuracy Prediction of Total Rainfall Using Multi-layer Perceptron Neural Network
	1 Introduction
	2 Material and Methods
		2.1 Study Area and Data
		2.2 Multi-layer Perceptron Neural Network (MLPNN)
		2.3 Total Rainfall Prediction with Selected Inputs
		2.4 Statistical Indices
	3 Results and Discussion
		3.1 Data Characteristics
		3.2 Evaluate the Influence of Input Variables
	4 Conclusions
	References
Author Index