Decision Making Under Uncertainty Via Optimization, Modelling, and Analysis
Tapan Senapati (Hrsg.), Madhumangal Pal (Hrsg.), Laxminarayan Sahoo (Hrsg.), Ronald R. Yager (Hrsg.)
Naturwissenschaften, Medizin, Informatik, Technik / Allgemeines, Lexika
Beschreibung
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.
Kundenbewertungen
Supply Chain and Inventory Management, Decision Support Systems, Modelling and Optimization, Multi-criteria Decision Making, Uncertainty, Artificial Intelligence