株式会社極東書店トップ商品一覧Policy Decision Modeling with Fuzzy Logic: Theoretical and Computational Aspects. 2021 ed.

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Policy Decision Modeling with Fuzzy Logic: Theoretical and Computational Aspects. 2021 ed.

Policy Decision Modeling with Fuzzy Logic: Theoretical and Computational Aspects. 2021 ed.

・ISBN 978-3-030-62627-3 hard EUR 149.99

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お気に入り
著者・編者Guidara, Ali,
シリーズ (Studies in Fuzziness and Soft Computing)
出版社 (Springer Nature Switzerland AG, SZ)
出版年月2020
ページ数134 pp.
言語ENG
ニュース番号<A02-75280>

解説

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.