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Image of Policy Decision Modeling with Fuzzy Logic

Electronic Resource

Policy Decision Modeling with Fuzzy Logic

Guidara, Ali - Personal Name;

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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.


Availability
Inventory Code Barcode Call Number Location Status
1908001551EB0002157511.3 Gui pCentral Library (OPAC)Available
Detail Information
Series Title
Studies in Fuzziness and Soft Computing
Call Number
511.3 Gui p
Publisher
Switzerland : Springer Cham., 2020
Collation
xii, 134p.:Ill
Language
English
ISBN/ISSN
978-3-030-62628-0
Classification
511.3
Content Type
Ebook
Media Type
-
Carrier Type
online resource
Edition
1
Subject(s)
Fuzzy Logic
Specific Detail Info
-
Statement of Responsibility
BRF
Other version/related

No other version available

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  • Policy Decision Modeling with Fuzzy Logic
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