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Fuzzy Petri Nets for Knowledge Representation, Acquisition and Reasoning

E-BookPDF1 - PDF WatermarkE-Book
464 Seiten
Englisch
Springer Nature Singaporeerschienen am19.09.20231st ed. 2023
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.



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.
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EUR181,89
E-BookPDF1 - PDF WatermarkE-Book
EUR171,19

Produkt

KlappentextThis 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.



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.
Details
Weitere ISBN/GTIN9789819951543
ProduktartE-Book
EinbandartE-Book
FormatPDF
Format Hinweis1 - PDF Watermark
FormatE107
Erscheinungsjahr2023
Erscheinungsdatum19.09.2023
Auflage1st ed. 2023
Seiten464 Seiten
SpracheEnglisch
IllustrationenXXIX, 464 p. 113 illus., 26 illus. in color.
Artikel-Nr.12096421
Rubriken
Genre9200