Fuzzy-AI Model and Big Data Exploration
A Methodological Philosophy in Solving Problems in Digital Era
(Sprache: Englisch)
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...
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Klappentext zu „Fuzzy-AI Model and Big Data Exploration “
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 etc.
Inhaltsverzeichnis zu „Fuzzy-AI Model and Big Data Exploration “
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.
Bibliographische Angaben
- Autor: Shaopei Lin
- 2022, 1st ed. 2022, XVII, 342 Seiten, 19 farbige Abbildungen, Maße: 16 x 24,1 cm, Gebunden, Englisch
- Verlag: Springer, Berlin
- ISBN-10: 3662563371
- ISBN-13: 9783662563373
- Erscheinungsdatum: 23.09.2022
Sprache:
Englisch
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