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Fuzzy-AI Model and Big Data Exploration : A Methodological Philosophy in Solving Problems in Digital Era / by Shaopei Lin.
- Format:
- Book
- Author/Creator:
- Lin, Shaopei., Author.
- Series:
- Computer Science (SpringerNature-11645)
- Language:
- English
- Subjects (All):
- Computational intelligence.
- Artificial intelligence.
- Technology-Philosophy.
- Industrial engineering.
- Production engineering.
- Computational Intelligence.
- Artificial Intelligence.
- Philosophy of Technology.
- Industrial and Production Engineering.
- Local Subjects:
- Computational Intelligence.
- Artificial Intelligence.
- Philosophy of Technology.
- Industrial and Production Engineering.
- Physical Description:
- 1 online resource (XVII, 342 pages) : 104 illustrations, 19 illustrations in color.
- Edition:
- 1st ed. 2022.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2022.
- System Details:
- text file PDF
- Summary:
- Based on the idea of a universal rule for problem solving, the book suggests that the "System-Fuzzy Approach (SFA)" Model can be applied to various complex real-world problems. It is the first book for problem solving in complicated problems with a universal project management tool. Systematic searching is an essential step in identifying the right direction in problem solving; and the fuzzy steps in concrete problem solving reflect the flexibility and compromises involved in the process. Nevertheless, the fuzzy steps also demonstrate human beings' impressively flexible problem-solving skills. Simulating human decision-making processes based on fuzzy information processing is essential in our digital era, in which many problems need to be solved by means of artificial intelligence; hence the Fuzzy-AI Model emerged. As a universal rule and tool, it can be applied to a broad range of real-world problems. Offering a valuable guide to fuzzy decision-making, this book is intended for researchers, scientists and graduate students in the fields of Engineering, Economics, Sociology, Managerial Science, Project Management et cetera.
- Contents:
- Introduction
- Fuzzy-AI Model
- Theoretical Adaptability of Fuzzy Approach
- Fuzzy Machine Learning Method
- Fuzzy Reasoning Method for Comprehensive Evaluation
- Fuzzy-AI Optimization for Complex System
- Fuzzy-AI Model for Decision Making
- Fuzzy-AI Model for Project Risk Management
- "Fuzz-AI" Model in Design
- "Fuzzy-AI" Model in System Reliability
- Conclusive Remarks.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-662-56339-7
- 9783662563397
- Access Restriction:
- Restricted for use by site license.
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