TY  - GEN
N2  - 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.
DO  - 10.1007/978-981-99-5154-3
DO  - doi
AB  - 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.
T1  - Fuzzy petri nets for knowledge representation, acquisition and reasoning /
DA  - 2023.
CY  - Singapore :
AU  - Shi, Hua.
AU  - Liu, Hu-Chen.
CN  - QA267
PB  - Springer,
PP  - Singapore :
PY  - 2023.
N1  - 6.3.2 PFPN Representations of WPFPRs
ID  - 1481037
KW  - Réseaux de Pétri flous.
KW  - Gestion des connaissances
KW  - Fuzzy Petri nets.
KW  - Knowledge management
SN  - 9789819951543
SN  - 9819951542
TI  - Fuzzy petri nets for knowledge representation, acquisition and reasoning /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-99-5154-3
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-99-5154-3
ER  -