Shaopei Lin

Fuzzy-AI Model and Big Data Exploration

A Methodological Philosophy in Solving Problems in Digital Era

• Gebundenes Buch

Produktbeschreibung

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 isintended for researchers, scientists and graduate students in the fields of Engineering, Economics, Sociology, Managerial Science, Project Management etc.

Produktdetails

• Verlag: Shanghai Jiao Tong University Press / Springer / Springer Berlin Heidelberg / Springer, Berlin
• Artikelnr. des Verlages: 978-3-662-56337-3
• 1st ed. 2022
• Seitenzahl: 360
• Erscheinungstermin: 23. September 2022
• Englisch
• Abmessung: 241mm x 160mm x 25mm
• Gewicht: 649g
• ISBN-13: 9783662563373
• ISBN-10: 3662563371
• Artikelnr.: 50035146

Inhaltsangabe

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.

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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.