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Decision Making Under Uncertainty

An introduction to decision making under uncertainty from a computational perspective, covering both theory and applications ranging from;

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Decision Making Under Deep Uncertainty

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Decision Making Under Deep Uncertainty

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Multicriteria DecisionMaking Under Conditions of Uncertainty

Multicriteria Decision-Making under Conditions of Uncertainty presents approaches that help to answer the fundamental questions at the center of all;

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Advanced Models and Tools for Effective Decision Making Under Uncertainty and Risk Contexts

these conditions has become much more manageable. Advanced Models and Tools for Effective Decision Making Under Uncertainty and Risk;

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Advanced Models and Tools for Effective Decision Making Under Uncertainty and Risk Contexts

these conditions has become much more manageable. Advanced Models and Tools for Effective Decision Making Under Uncertainty and Risk;

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Progress in Intelligent Decision Science

of uncertainty has long been used in applied science, especially decision making and a logical decision must be made in the field of uncertainty or;

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Betriebswirtschaftliche Entscheidungstheorie

decisions under conditions of certainty, risk, and uncertainty; multi-layered decision-making; game theory; and gr;

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Affective Decision Making Under Uncertainty

This book is an exploration of the ubiquity of ambiguity in decision-making under uncertainty. It presents various essays on behavioral;

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Algorithms for Decision Making

A broad introduction to algorithms for decision making under uncertainty, introducing the underlying mathematical problem formulations;

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Decision Making Under Uncertainty - The Case of State Dependent Preferences

This book presents a self-contained, comprehensive, and unified treatment of the theory of decision making under uncertainty with state;

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Defense Resource Planning Under Uncertainty

challenge. RDM is quantitative, decision support methodology designed to inform decisions under conditions of deep uncertainty and complexity. This;

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Decision-Making Analyses with Thermodynamic Parameters and Hesitant Fuzzy Linguistic Preference Relations

uncertainty, chiefly intended for researchers and practitioners working in operations research, multi-attribute decision making, preference analysis;

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Bounded Rationality in Decision Making Under Uncertainty

decision-making -so that they can better utilize our ability to make decisions under uncertainty.;

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Primer on Risk Analysis

Primer on Risk Analysis: Decision Making Under Uncertainty, Second Edition lays out the tasks of risk analysis in a straightforward;

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Primer on Risk Analysis

Primer on Risk Analysis: Decision Making Under Uncertainty, Second Edition lays out the tasks of risk analysis in a straightforward;

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Decision Modes in Complex Task Environments

decision-making in decision situations under complexity and uncertainty. Building on default-interventionist dual-processing theory, this book;

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Decision Support for Forest Management

emphasis to decision support tools usable under uncertainty. The new edition places emphasis on the selection of criteria and creating alternatives;

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Decision Support for Forest Management

emphasis to decision support tools usable under uncertainty. The new edition places emphasis on the selection of criteria and creating alternatives;

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Decision Making Under Measurement Uncertainty Using Random Variables

Everyday final applications of measurement processes are mostly aimed at making a decision, on the basis of comparison between the;

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Decision Making under Constraints

Making from 2016 to 2018. The papers address all stages of decision-making under constraints: (1) precisely formulating the problem of multi;

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Decision Making under Constraints

Making from 2016 to 2018. The papers address all stages of decision-making under constraints: (1) precisely formulating the problem of multi;

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Machine Learning for Intelligent Decision Science

solving complex learning and decision-making problems under conditions of uncertainty. Featuring contributions from data scientists, practitioners;

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Machine Learning for Intelligent Decision Science

solving complex learning and decision-making problems under conditions of uncertainty. Featuring contributions from data scientists, practitioners;

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Uncertainty and the Environment

advances a critique of the use of traditional models and then develops an alternative model of decision making under uncertainty, based on the work;

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Decision Making under Deep Uncertainty

them. Decision Making under Deep Uncertainty: From Theory to Practice is divided into four parts. Part I presents five approaches for designing;

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Proceedings of the Eighth International Forum on Decision Sciences

scientific papers analyze the problems and challenges of decision-making under uncertainty, supply chain management, green transportation management;

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