E. Stanley Lee – författare
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5 produkter
Fuzzy and Multi-Level Decision Making
An Interactive Computational Approach
Av Hsu-shih Shih, E. Stanley Lee
E-bok, 2012
1459 kr
Lägg i varukorg
Managerial Decisions in hierarchy organizations, such as the various manufacturing and service companies, are difficult to formalize and even more difficult to optimize. By exploring the typical fuzziness, vagueness, or the "not-well-defined" nature of such organizations, this book presents the …
Fuzzy and Multi-Level Decision Making
An Interactive Computational Approach
Av E. Stanley Lee, Hsu-shih Shih
Häftad, 2011
1098 kr
Lägg i varukorg
Managerial Decisions in hierarchy organizations, such as the various manufacturing and service companies, are difficult to formalize and even more difficult to optimize. By exploring the typical fuzziness, vagueness, or the "not-well-defined" nature of such organizations, this book presents the …
Quasilinearization and Invariant Imbedding
With Applications to Chemical Engineering and Adaptive Control
Av E. Stanley Lee, Richard Bellman
E-bok, 2016
789 kr
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Mathematics in Science and Engineering, Volume 41: Quasilinearization and Invariant Imbedding presents a study on the use of two concepts for obtaining numerical solutions of boundary-value problems—quasilinearization and invariant imbedding. This book emphasizes that the invariant imbedding …
Fuzzy and Multi-Level Decision Making: Soft Computing Approaches
Av Chi-Bin Cheng, Hsu-Shih Shih m. fl.
Inbunden, 2019
1128 kr
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This book offers a comprehensive overview of cutting-edge approaches for decision-making in hierarchical organizations. It presents soft-computing-based techniques, including fuzzy sets, neural networks, genetic algorithms and particle swarm optimization, and shows how these approaches can be …
Fuzzy and Multi-Level Decision Making: Soft Computing Approaches
Av E. Stanley Lee, Hsu-Shih Shih m. fl.
E-bok, 2018
1470 kr
Lägg i varukorg
This book offers a comprehensive overview of cutting-edge approaches for decision-making in hierarchical organizations. It presents soft-computing-based techniques, including fuzzy sets, neural networks, genetic algorithms and particle swarm optimization, and shows how these approaches can be …
