Overview
First book for problems solving in complicated problems with an universal project management tool
Offers solving strategy for different sorts of complicated problems
Provides examples in different nature which can be used as a quick reference for specific problems solving
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (12 chapters)
-
Front Matter
Keywords
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Fuzzy-AI Model and Big Data Exploration
Book Subtitle: A Methodological Philosophy in Solving Problems in Digital Era
Authors: Shaopei Lin
DOI: https://doi.org/10.1007/978-3-662-56339-7
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Shanghai Jiao Tong University Press and Springer-Verlag GmbH Germany 2022
Hardcover ISBN: 978-3-662-56337-3Published: 23 September 2022
eBook ISBN: 978-3-662-56339-7Published: 22 September 2022
Edition Number: 1
Number of Pages: XVII, 342
Number of Illustrations: 85 b/w illustrations, 19 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Philosophy of Technology, Industrial and Production Engineering