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Published in:
Introduction to Digital Era Read chapter Read first chapter

2022 | OriginalPaper | Chapter

10. “Fuzzy-AI” Model in Design

Author : Shaopei Lin

Published in: Fuzzy-AI Model and Big Data Exploration

Publisher: Springer Berlin Heidelberg

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Abstract

As the development of rule based expert system (RBES) is constrained by the knowledge acquisition from the domain experts, it seems difficult to develop a design system for practical use since the human being is no longer an ideal knowledge carrier for transfer.

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previous chapter Fuzzy-AI Model for Project Risk Management
next chapter “Subjective Information” and “Fuzzy-AI Model” for Digital Revolution
Literature
1.
Lin, S. (2002). Fuzzy-AI in design consideration. Lecture presentation at center for design informatics. Harvard University, November 8, 2002.
2.
Ostrosi, E., Fougères, A.-J. (2018). Intelligent virtual manufacturing cell formation in cloud-based design and manufacturing. Journal of Engineering Applications of Artificial Intelligence, 76, 80–95.
3.
Ji, Z., & Lin, S. (1994). A fuzzy evaluation expert system for damaged structural system. Journal of Computational Structural Mechanics and Its Applications, 11(3), 232–240. (in Chinese).
4.
Wasserman, P. D., & Schwartz, T. (1987). Neural network, part I and II. IEEE EXPERT, Winter 1987, pp. 10–15 and Spring 1988, pp. 10–14.
5.
Hopfield, J. J. (1984). Neurons with graded response have collective computational properties like those of two-state neurons. Proceedings of National Academic Science, 81, 3088–3092.
6.
Dayhoff, J. E. (1990) Neural network architectures, an introduction. New York: Van Nostrand Reinhold.
Metadata
Title
“Fuzzy-AI” Model in Design
Author
Shaopei Lin
Copyright Year
2022
Publisher
Springer Berlin Heidelberg
Book
Fuzzy-AI Model and Big Data Exploration

Print ISBN: 978-3-662-56337-3

Electronic ISBN: 978-3-662-56339-7

Copyright Year: 2022

DOI
https://doi.org/10.1007/978-3-662-56339-7_10

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