Overview
- Is the first one available on improving FPN models for knowledge representation and reasoning
- Provides many real cases to illustrate the advantages of the proposed FPN models
- Covers improved FPN models considering the characteristics of practical situations
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Table of contents (21 chapters)
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Front Matter
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Literature Review and Truth Determination of FPNs
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Front Matter
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Improved FPNs for Knowledge Representation and Acquisition
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Front Matter
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Improved FPNs for Knowledge Representation and Reasoning
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Front Matter
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Keywords
About this book
This book provides valuable knowledge, useful fuzzy Petri nets (FPN) models, and practical examples that can be considered by mangers in supporting knowledge management of organizations to increase and sustain their competitive advantages. In this book, the authors proposed various improved FPN models to enhance the modeling power and applicability of FPNs in knowledge representation and reasoning. This book is useful for practitioners and researchers working in the fields of knowledge management, operation management, information science, industrial engineering, and management science. It can also be used as a textbook for postgraduate and senior undergraduate students.
Authors and Affiliations
About the authors
Hua Shi received the M.S. and Ph.D. degrees in Management Science and Engineering from Shanghai University, Shanghai, China, in 2017 and 2020, respectively. He is currently a lecturer with the School of Materials, Shanghai Dianji University, Shanghai, China. He has authored or coauthored over 30 publications in international journals. His research interests include artificial intelligence, quality and reliability management, and uncertain decision-making.
Hu-Chen Liu received his M.S. degree in industrial engineering from Tongji University, Shanghai, China, in 2010, and his Ph.D. degree in industrial engineering and management from Tokyo Institute of Technology, Tokyo, Japan, in 2013. He is now a distinguished professor at the School of Economics and Management, Tongji University. His main research interests include quality and reliability management, artificial intelligence, and Petri net theory and application. He has published more than 100 publications including 3 books, 90+ journal papers.
Bibliographic Information
Book Title: Fuzzy Petri Nets for Knowledge Representation, Acquisition and Reasoning
Authors: Hua Shi, Hu-Chen Liu
DOI: https://doi.org/10.1007/978-981-99-5154-3
Publisher: Springer Singapore
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023
Hardcover ISBN: 978-981-99-5153-6Published: 20 September 2023
Softcover ISBN: 978-981-99-5156-7Due: 21 October 2023
eBook ISBN: 978-981-99-5154-3Published: 19 September 2023
Edition Number: 1
Number of Pages: XXIX, 464
Number of Illustrations: 87 b/w illustrations, 26 illustrations in colour
Topics: Computational Intelligence, Knowledge Management, Artificial Intelligence, Industrial and Production Engineering