Chapter 1. Mathematical Modelling and Fuzzy Logic.- Chapter 2. Extreme Learning Machine - a New Machine Learning Paradigm.- Chapter 3. A New Mandatory-Optional Bipolar Model of Decision Making in a Fuzzy Environments.- Chapter 4. Games, fuzzy measures, indices, and explainable ML: exploiting the game.- Chapter 5. Fuzzy Performance Measurement: A Literature Review.- Chapter 6. Evaluation of business intelligence tools for thelogistics sector with hesitant fuzzy hybrid MCDM methods.- Chapter 7. Investigating Smart City Applications: A Case Study from Istanbul.- Chapter 8. Fermatean fuzzy TOPSIS method based on prospect theory.- Chapter 9. New Multi Criteria Decision Making Methodology EFEE under Uncertainty on Paris City Micromobility.- Chapter 10. Threshold Aggregation of Fuzzy Data Using Fuzzy Cardinalities of a Set of Fuzzy Estimates.- Chapter 11. A Collaborative Decision-Making Framework in Humanitarian Logistics.- Chapter 12. Integrating Fuzzy AHP and TOPSIS for Optimal Air Fryer Selection: A Consumer-Centric Approach.- Chapter 13. A Comparative Analysis of Classical AHP, Fuzzy AHP, and Z-Fuzzy AHP Methods for Flood Risk Assessment in Büyükçekmece District.- Chapter 14. Fuzzy evaluation of stakeholders' aspects in water resources management.- Chapter 15. Sustainability Performance Evaluation in Faculties: A COPRAS-Based Assessment.- Chapter 16. Evaluating the Coherence and Diversity inAI-Generated and Paraphrased Scientific Abstracts: A Fuzzy Topic Modeling Approach.- Chapter 17. Automatic Target Generation for ElectronicData Interchange using Sequence-to-Sequence Models.- Chapter 18. Artificial Intelligence Enriching Contributionsfrom Multiple Perspectives in Ancient Text Analysis.- Chapter 19. Identifying and Mitigating Bias in AI-Generated Image Datasets for Better Cognitive Understanding.- Chapter 20. Comparative Analysis of Large Language Models in Source Code Analysis...etc.
