Decision Making Under Uncertainty Via Optimization, Modelling, and Analysis

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Decision Making Under Uncertainty Via Optimization, Modelling, and Analysis

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Lieferung am Do. 08.05.2025
 
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Produktdetails

This book focuses on cutting-edge developments in optimal decision-making incorporating modeling and optimization for determining renewable energy sources, supply chain management, and environmental planning under uncertainty. It addresses mathematical models of cost-effective management policies. This book presents the best decision-making practices for solving real-world challenges. This book provides access to an invaluable collection of various decision-making issues that scholars and industry practitioners use as a reference. The readers are able to understand how decision-making problems are formulated under uncertainty and how to use right optimization strategies to fix problems.

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Produktspezifikationen

Autor
Laxminarayan Sahoo; Tapan Senapati; Madhumangal Pal; Ronald R. Yager
Format
gebundene Ausgabe
Sprachfassung
Englisch
Seiten
616
Erscheinungsdatum
2025-03-03
Verlag
Springer Singapore

Produktkennung

Artikelnummer m0000OG7VY
EAN 9789819600847
GTIN 09789819600847

Zusatzinfo und Downloads

This book focuses on cutting-edge developments in optimal decision-making incorporating modeling and optimization for determining renewable energy sources, supply chain management, and environmental planning under uncertainty. It addresses mathematical models of cost-effective management policies. This book presents the best decision-making practices for solving real-world challenges. This book provides access to an invaluable collection of various decision-making issues that scholars and industry practitioners use as a reference. The readers are able to understand how decision-making problems are formulated under uncertainty and how to use right optimization strategies to fix problems.

Produktspezifikationen

Autor
Laxminarayan Sahoo; Tapan Senapati; Madhumangal Pal; Ronald R. Yager
Format
gebundene Ausgabe
Sprachfassung
Englisch
Seiten
616
Erscheinungsdatum
2025-03-03
Verlag
Springer Singapore

Produktkennung

Artikelnummer m0000OG7VY
EAN 9789819600847
GTIN 09789819600847