Multi-Criteria Decision-Making and Optimum Design with Machine Learning

A Practical Guide

Tien V.T. Nguyen, Nhut T.M. Vo, Van Chinh Truong, Van-Thuc Nguyen, Van Thanh Tien Nguyen

• Publisher: CRC Press
• Year: 2024
• eBook ISBN: 9781040230640
• Edition: 0
• Topic: Design
• Subtopic: Industrial Engineering

As multicriteria decision-making (MCDM) continues to grow and evolve, machine learning (ML) techniques have become increasingly important in finding efficient and effective solutions to complex problems. This book is intended to guide researchers, practitioners, and students interested in the intersection of ML and MCDM for optimal design.

Multi-Criteria Decision-Making and Optimum Design with Machine Learning: A Practical Guide is a comprehensive resource that bridges the gap between ML and MCDM. It offers a practical approach by demonstrating the application of ML and MCDM algorithms to real-world problems. Through case studies and examples, it showcases the effectiveness of these techniques in optimal design. The book also provides a comparative analysis of conventional MCDM algorithms and machine learning techniques, enabling readers to make informed decisions about their use in different scenarios. It also delves into emerging trends, providing insights into future directions and potential opportunities. The book covers a wide range of topics, including the definition of optimal design, MCDM algorithms, supervised and unsupervised ML techniques, deep learning techniques, and more, making it a valuable resource for professionals and researchers in various fields.

Multi-Criteria Decision-Making and Optimum Design with Machine Learning: A Practical Guide is designed for professionals, researchers, and practitioners in engineering, computer science, sustainability, and related fields. It is also a valuable resource for students and academics who wish to expand their knowledge of machine learning applications in multicriteria decision-making. By offering a blend of theoretical insights and practical examples, this guide aims to inspire further research and application of machine learning in multidimensional decision-making environments.

Table of contents

• Cover
• Half Title
• Title
• Copyright
• Dedication
• Contents
• Preface
• About the Editors
• List of Contributors
• Acknowledgments
• Chapter 1 Innovations in Technical Methodologies: Advancing Decision-Making and Optimization
• Chapter 2 Fuzzy Systems for Multicriteria Optimization: Applications in Engineering Design
• Chapter 3 Optimizing Ti-6Al-4V Milling under MQL Conditions Using SVR, NSGA-II, and TOPSIS
• Chapter 4 3D Printing Parameters for Optimum Tensile Strength Using the Taguchi-Based Response Surface Method
• Chapter 5 Network Optimization Using the Max Product for Multicriteria Decision-Making
• Chapter 6 Optimizing the Surface Roughness of H13 Steel Machined by Wire Electrical Discharge
• Chapter 7 The Impact Toughness of PBT/PA6 Composite Reinforced with Glass Fibers
• Chapter 8 The Effect of Chamber Temperature on the Flexural Strength of Thermoplastic Polyurethane Plastic via FDM Technology
• Chapter 9 Enhancing Underwater Imagery Using Multicriteria Decision-Making with Machine Learning Techniques
• Chapter 10 Selecting Optimal Electric Vehicle Charging Station Sites Based on Analytic Hierarchy and VIKOR
• Chapter 11 Optimum Topological Indices for Intuitionistic Fuzzy Graphs
• Chapter 12 Advancements in Multicriteria Decision-Making: Exploring Innovative Approaches
• Chapter 13 Machine Learning Techniques for Multicriteria Decision-Making
• Chapter 14 Locating Electric Vehicle Power Stations Using Neutrosophic TOPSIS
• Chapter 15 Multicriteria Decision-Making Modeling Using Spherical Neutrosophic Similarity Measures
• Chapter 16 A Study on Machine Learning Twig Graphs on the Hyper Wiener Index of Complete Graph
• Chapter 17 Enhancing Multicriteria Decision-Making through Cryptographic Security Systems
• Chapter 18 AI-Powered Decision-Making Applications for Sustainable Development
• Chapter 19 Artificial Intelligence Algorithms for Better Decision-Making
• Chapter 20 Multicriterion Analysis of Fusion Sort: A Hybrid Approach to Sorting Algorithms
• Chapter 21 Cruising through the Choices: Unraveling Destination Decision-Making Dilemmas with Social Networks via MCDM
• Chapter 22 Analyzing Outcome-Based Education Using Multicriteria Decision-Making
• Chapter 23 Selecting a Best Professor Awardee Using Multicriteria Decision-Making
• Chapter 24 Predicting Lumpy Skin Disease Using Machine Learning
• Author Index
• Subject Index