Policy Decision Modeling with Fuzzy Logic Theoretical and Computational Aspects /

Библиографические подробности
Главный автор:	Guidara, Ali (Автор)
Автор-организация:	SpringerLink (Online service)
Примечания:	XII, 134 p. 30 illus., 25 illus. in color. text
Язык:	английский
Опубликовано:	Cham : Springer International Publishing : Imprint: Springer, 2021.
Издание:	1st ed. 2021.
Серии:	Studies in Fuzziness and Soft Computing, 405
Предметы:	Computational intelligence. Political planning. Control engineering. Computational complexity. Computational Intelligence. Public Policy. Control and Systems Theory. Computational Complexity.
Online-ссылка:	https://doi.org/10.1007/978-3-030-62628-0
Формат:	Электронный ресурс Книга

Оглавление:

Chapter 1. Decision Process and Analytical Frameworks – Levels of Analysis and Paradigmatic Evolution
Chapter 2. Complex Systems and Public Policy
Chapter 3. Multiple Streams theory
Chapter 4. Artificial Intelligence and Fuzzy Logic
Chapter 5. PODESIM – Policy Decision Emergence Simulation Model 93
Chapter 6. Analysis of Results
Chapter 7. Innovation and Contributions. .

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