Intelligent and Fuzzy Systems Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference, Volume 1
This book presents recent research in intelligent and fuzzy techniques on Intelligent Industrial Informatics and Efficient Networks. This cutting-edge field integrates advanced technologies, such as artificial intelligence, machine learning and data analytics, into industrial processes, revolutioniz...
| Other Authors: | , , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Cham
Springer Nature Switzerland
2024, 2024
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| Edition: | 1st ed. 2024 |
| Series: | Lecture Notes in Networks and Systems
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- 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 İstanbul
- 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