Overview
- Introduces an experimental decisional diagnostic model PODESIM
- Presents fuzzy logic techniques applied to decision emergence in public policy
- Describes a way for decision emergence simulation by combining complex systems theory, multiple streams framework, and fuzzy logic
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 405)
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Table of contents (10 chapters)
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Front Matter
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Back Matter
Keywords
About this book
This book introduces the concept of policy decision emergence and its dynamics at the sub systemic level of the decision process. This level constitutes the breeding ground of the emergence of policy decisions but remains unexplored due to the absence of adequate tools. It is a nonlinear complex system made of several entities that interact dynamically. The behavior of such a system cannot be understood with linear and deterministic methods.
The book presents an innovative multidisciplinary approach that results in the development of a Policy Decision Emergence Simulation Model (PODESIM). This computational model is a multi-level fuzzy inference system that allows the identification of the decision emergence levers.
This development represents a major advancement in the field of public policy decision studies. It paves the way for decision emergence modeling and simulation by bridging complex systems theory, multiple streams theory, and fuzzy logic theory.Authors and Affiliations
Bibliographic Information
Book Title: Policy Decision Modeling with Fuzzy Logic
Book Subtitle: Theoretical and Computational Aspects
Authors: Ali Guidara
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-030-62628-0
Publisher: Springer Cham
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 Switzerland AG 2021
Hardcover ISBN: 978-3-030-62627-3Published: 19 December 2020
Softcover ISBN: 978-3-030-62630-3Published: 19 December 2021
eBook ISBN: 978-3-030-62628-0Published: 18 December 2020
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: XII, 134
Number of Illustrations: 5 b/w illustrations, 25 illustrations in colour
Topics: Computational Intelligence, Public Policy, Control and Systems Theory, Theory of Computation