Fuzzy Petri Nets for Knowledge Representation, Acquisition and Reasoning [electronic resource] / by Hua Shi, Hu-Chen Liu.

Por: Shi, Hua [author.]Colaborador(es): Liu, Hu-Chen [author.] | SpringerLink (Online service)Tipo de material: Texto

TextoEditor: Singapore : Springer Nature Singapore : Imprint: Springer, 2023Edición: 1st ed. 2023Descripción: XXIX, 464 p. 113 illus., 26 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9789819951543Tema(s): Computational intelligence | Knowledge management | Artificial intelligence | Industrial engineering | Production engineering | Computational Intelligence | Knowledge Management | Artificial Intelligence | Industrial and Production EngineeringFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 006.3 Clasificación LoC:Q342Recursos en línea: Libro electrónico Texto

Contenidos:

Chapter 1. FPNs for knowledge representation and reasoning: A literature review -- Chapter 2. Determining truth degrees of input places in FPNs -- Chapter 3. Bipolar fuzzy Petri nets for knowledge acquisition and representation -- Chapter 4. Picture fuzzy Petri nets for knowledge acquisition and representation -- Chapter 5. R-numbers Petri nets for knowledge acquisition and representation -- Chapter 6. Intuitionistic fuzzy Petri nets for knowledge representation and reasoning -- Chapter 7. Linguistic Z-number Petri nets for knowledge acquisition and representation -- Chapter 8. Linguistic reasoning Petri nets for knowledge representation and reasoning -- Chapter 9. Dynamic adaptive fuzzy Petri nets for knowledge representation and reasoning -- Chapter 10. Spherical linguistic Petri nets for knowledge representation and reasoning -- Chapter 11. Two-dimensional uncertain linguistic Petri Net for knowledge representation and reasoning -- Chapter 12. Pythagorean fuzzy Petri nets for knowledge representation and reasoning -- Chapter 13. Grey reasoning Petri nets for knowledge representation and reasoning -- Chapter 14. Cloud reasoning Petri nets for knowledge representation and reasoning -- Chapter 15. Knowledge acquisition and representation using interval-valued intuitionistic fuzzy Petri nets -- Chapter 16. Knowledge acquisition and representation using dynamic adaptive fuzzy Petri nets -- Chapter 17. Fault diagnosis and cause analysis using dynamic adaptive fuzzy Petri nets -- Chapter 18. Failure mode and effects analysis using FPNs -- Chapter 19. Failure mode and effect analysis using probabilistic linguistic Petri nets -- Chapter 20. Failure mode and effect analysis using interval type-2 fuzzy Petri nets.

En: Springer Nature eBookResumen: 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.

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Acceso multiusuario

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.

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