Advanced Decision-Making under Uncertainty (Emerging Trends in Mechatronics)

Azizi, Aydin (EDT)/ Jahed Armaghani, Danial (EDT)/ Mirrashid, Masoomeh (EDT)

Springer Verlag, Singapore（2026/08発売）

• 製本 Hardcover:ハードカバー版
• 言語 ENG
• 商品コード 9789819586950

Full Description

This book presents a collection of recent work that applies new and sophisticated computational techniques to manage uncertainty. This book expands the focus to more contemporary approaches, including fuzzy logic, artificial intelligence (AI), machine learning, and multi-criteria decision-making, as well as other methods to solve problems. The chapters of this book describe various applications in critical areas of various disciplines such as the design and optimization of sustainable infrastructure, management of e-waste recycling networks, improvements in cyber security, and social media and toxic content classification. The shift from the opaque "black-box" models to transparent systems that explain the justification and the logic of the predictions is a key factor for model trust. This book is essential for those who seek computational intelligence for rational decision-making under uncertainty.

Contents

Novel algorithms for power loss reduction.- From Point Cloud to BIM: Reconstruction for As-built Modeling of Steel Structural Frames.- Development of smart mobility for passenger transportation in green cities based on an intelligent transport network using aerial rope systems.- A Novel Score Function-Based Group Decision-Making Framework for Selecting Solar Photovoltaic Module Recycling Technologies in Quartic Fuzzy Environment.- Floor Level Classification in Multistoried Educational Building Using Interpretable Machine Learning: A Case Study in Dhaka, Bangladesh.- A Novel Similarity Measure Based Approach to Solve Triangular Fuzzy Multi- Objective Linear Programming Problem.- Assessment of the Mechanical Properties of Fibre Reinforced Soil Using Artificial Intelligence: A State-of-the-Art Review.- An XAI based Topic Sensitive Classification of Social Media Fandom Wars using Semantic Embeddings and Deep Transformer Models.- A Complex Linear Diophantine Fuzzy Based MCGDM Approach for Optimal Site Selection of E-Waste Recycling and Up-cycling Centres in the North-East Region of India.- XSS-Shield: Multi-View Canonicalization, Dual-Branch Deep Learning, and a Public Dataset for Obfuscation-Resilient Cross-Site Scripting Detection.