Intelligent and Fuzzy Systems Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference, Volume 2

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...

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Bibliographic Details
Other Authors: Kahraman, Cengiz (Editor), Cevik Onar, Sezi (Editor), Cebi, Selcuk (Editor), Oztaysi, Basar (Editor)
Format: eBook
Language:English
Published: Cham Springer Nature Switzerland 2024, 2024
Edition:1st ed. 2024
Series:Lecture Notes in Networks and Systems
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Chapter 9. Benchmarking Retrieval Augmented Generation in Quantitative Finance
  • Chapter 10. Evaluating the Economic Viability of Solid Waste Recy cling Facilities: A Stochastic Approach Using Monte Carlo Simulation
  • Chapter 11. Navigating Economic Uncertainty: A Fuzzy Logic Approach
  • Chapter 12. Novel Stochastic Methods for Intelligent European Options Valuation
  • Chapter 13. Detecting anomalies in data using Z-numbers
  • Chapter 14. A fuzzy approach to macroeconomic stability
  • Chapter 15. A Bibliometric Analysis on Fuzzy Approaches in Finan cial Management
  • Chapter 16. Financial Performance Evaluation of Leading Retail Companies in BIST Utilizing Decomposed Fuzzy TOPSIS
  • Chapter 17. Intelligent Automated Control in Accordance with Resource Efficiency Criteria Toward Circular Economy Transition
  • Chapter 18. Measuring the effectiveness of the online education sys tem through DEA
  • Chapter 19. Selection of Carrier Services for E-Commerce: CINFUS AHP Methodology for Optimal Decision
  • Chapter 20. An Intelligent System for Ranking E-Commerce Customer Reviews to Boost Engagement
  • Etc..
  • Chapter 1. A Bibliometric and Trend Analysis on Impact of Fuzzy Logic in Industry 4.0
  • Chapter 2. Analyzing the industry 5. adoption barriers in the pharmaceutical sector using an integrated Fuzzy MCDM methodology: A case study application for Turkey
  • Chapter 3. Fuzzy Analysis of Ground Humidity Sensor Readings on a Crop Area Managed Using IoT-Technology
  • Chapter 4. Intelligent Illumination: Fuzzy Logic Applications in IoT Driven Lighting Solutions
  • Chapter 5. Fuzzy Logic and Cybersecurity: An Intelligent Shield in the Digital Age
  • Chapter 6. A Text Mining Procedure for Recognizing the Awareness of Industry 4.0 and digitalization perceptions in Construction Industry
  • Chapter 7. Additive Manufacturing: Fuzzy Logic Strategies In The Manufacturing Of The Future
  • Chapter 8. Share of Local Assortments in Revenue for a Large Scale National Food Retailer : Assessment of Long and Short Time Series Patterns