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Policy decision modeling with fuzzy ...

Guidara, Ali.

Policy decision modeling with fuzzy logictheoretical and computational aspects /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Policy decision modeling with fuzzy logicby Ali Guidara.
Reminder of title:	theoretical and computational aspects /
Author:	Guidara, Ali.
Published:	Cham :Springer International Publishing :2021.
Description:	xii, 134 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Fuzzy logic.
Online resource:	https://doi.org/10.1007/978-3-030-62628-0
ISBN:	9783030626280$q(electronic bk.)

Policy decision modeling with fuzzy logictheoretical and computational aspects /
Guidara, Ali.

Policy decision modeling with fuzzy logictheoretical and computational aspects /[electronic resource] :by Ali Guidara. - Cham :Springer International Publishing :2021. - xii, 134 p. :ill., digital ;24 cm. - Studies in fuzziness and soft computing,v.4051434-9922 ;. - Studies in fuzziness and soft computing ;v.273..

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.

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.

ISBN: 9783030626280$q(electronic bk.)

Standard No.: 10.1007/978-3-030-62628-0doiSubjects--Topical Terms:

181981
Fuzzy logic.

LC Class. No.: QA9.64 / .G85 2021

Dewey Class. No.: 511.3

Policy decision modeling with fuzzy logictheoretical and computational aspects /
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245 1 0 $a Policy decision modeling with fuzzy logic $h [electronic resource] : $b theoretical and computational aspects / $c by Ali Guidara.
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520 $a 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.
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