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Interactive Multiobjective Decision Making Under Uncertainty

field of multiobjective programming and multilevel programming under uncertainty. The reader can immediately use proposed methods to solve;

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Interactive Multiobjective Decision Making Under Uncertainty

field of multiobjective programming and multilevel programming under uncertainty. The reader can immediately use proposed methods to solve;

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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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Fuzzy Sets and Interactive Multiobjective Optimization

approaches to decision-making under constraints is multiobjective optimization as a generalization of traditional single-objective optimization;

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Multiobjective Programming and Plan

multiobjective programming methods in the context of public decision-making problems, developing each problem within a context that addresses practical;

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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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Multiobjective Decision Making

decision-making policies. It treats criteria as multidimensional, rather than scalar, in the development of normative theories. These contribute to;

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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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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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Optimization for Chemical and Biochemical Engineering

. Features a deeper consideration of optimal control, global optimization, optimization under uncertainty, multiobjective optimization, mixed-integer;

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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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Multiple Criteria Decision Analysis

). Part V looks at Non-Classical MCDA Approaches, with chapters on risk and uncertainty in MCDA, the decision rule approach to MCDA, the fuzzy;

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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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Multiobjective Optimization

multicriterion decision theory to enhance understanding of multiobjective optimization. There are obvious commonalities between the two areas, but to;

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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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