
Advances in Soft Computing Applications
- 304 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Advances in Soft Computing Applications
About this book
The proclivity of today's technology to think like humans may be seen in new developing disciplines such as neural computing, fuzzy logic, evolutionary computation, machine learning, and probabilistic reasoning. These strategies are grouped together into one main technique known as "soft computing." This book discusses the most recent soft computing and fuzzy logic-based applications and innovations in industrial advancements, supply chain and logistics, system optimization, decision-making, artificial intelligence, smart systems, and other rapidly evolving technologies. In today's competitive world, the book provides soft computing solutions to help companies overcome the obstacles posed by sophisticated decision-making systems.
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Information
Table of contents
- Cover Page
- Half Title page
- Series Page
- Title Page
- Copyright Page
- Contents
- Preface
- Acknowledgement
- List of Figures
- List of Tables
- List of Contributors
- List of Abbreviations
- 1 Applying Fuzzy Logic to the Assessment of Latent Economic Features
- 2 A Fuzzy-based Group Decision-making Approach for Supplier Selection
- 3 The Use of Computational Intelligence in Process Management
- 4 Evaluating the Effectiveness of Enterprises' Digital Transformation by Fuzzy Logic
- 5 A New Decision-making Framework for Performance Evaluation of Industrial Robots
- 6 Determination of Launch Time for a Multi-generational Product: A Fuzzy Perspective
- 7 Securing the Key of Improved Playfair Cipher using the Diffie–Hellman Algorithm
- 8 Application of Multi-criteria Decision-making in Sustainable Resource Planning
- 9 Fuzzy Logic based Decision Systems in the Healthcare Sector
- 10 Novel Pythagorean Fuzzy Entropy-distance Measures using MCDM in the Selection of Face Masks
- 11 Prioritizing the Barriers of Manufacturing during COVID-19 using Fuzzy AHP
- 12 Genetic Algorithms for Selection of Critical Cytological Features in Cancer Datasets
- 13 Role of AI in Various Industrial Managerial Disciplines
- 14 Evaluating Fuzzy System Reliability using a Time-Dependent Hexagonal Fuzzy Number
- Index
- About the Editors
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