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Collaborative Decision Making

include theory systems, computer-aided methods, algorithms, techniques and applications related to supporting decision making. The aim is to;

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Decision Theory Models for Applications in Artificial Intelligence

Decision Theory Models for Applications in Artificial Intelligence: Concepts and Solutions provides an introduction to different types;

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Decision Systems Theory

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Stochastic Game Strategies and their Applications

Game theory involves multi-person decision making and differential dynamic game theory has been widely applied to n-person decision making;

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Stochastic Game Strategies and their Applications

Game theory involves multi-person decision making and differential dynamic game theory has been widely applied to n-person decision making;

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Towards a Theory for Designing Machine Learning Systems for Complex Decision Making Problems

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New Advances in Intelligent Decision Technologies

symposium was concerned with theory, design, development, implementation, testing and evaluation of intelligent decision systems. Its topics;

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General Systems Theory

applications in business decision making. Following a foundation of general systems theory, the book presents an applied method to intuitively learn;

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Fuzzy Set Theory and Advanced Mathematical Applications

coverage of the mathematical foundations of the theory, decision making and systems science, and recent developments in fuzzy neural control. The;

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Comparative Analysis of Deterministic and Nondeterministic Decision Trees

of deterministic, nondeterministic, and strongly nondeterministic decision trees for problem solving. Deterministic decision trees are widely used as;

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Comparative Analysis of Deterministic and Nondeterministic Decision Trees

of deterministic, nondeterministic, and strongly nondeterministic decision trees for problem solving. Deterministic decision trees are widely used as;

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Knowledge in Action

in artificial intelligence, robotics, software agents, simulation, decision and control theory, and many other disciplines. In recent years, a new;

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Multiobjective Decision Making

a behavioral theory of decision making and provide guidance for exercising judgment.An introductory discussion of the systemic;

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A Theory of Case-Based Decisions

Gilboa and Schmeidler provide a paradigm for modelling decision making under uncertainty. Unlike the classical theory of expected utility;

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A Theory of Case-Based Decisions

Gilboa and Schmeidler provide a paradigm for modelling decision making under uncertainty. Unlike the classical theory of expected utility;

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Progress in Systems Engineering

engineering, including topics like aero-space, power systems, industrial automation and robotics, systems theory, control theory, artificial;

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Decision and Game Theory for Security

This book constitutes the refereed proceedings of the 12th International Conference on Decision and Game Theory for Security, GameSec 2021;

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Decision Theory With Imperfect Information

imprecise. In this book, we describe a new theory of decision making with imperfect information. The aim is to shift the foundation of decision;

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Decision Theory

research, and systems analysis-there has begun to emerge a body of theory that has profound implications for improving practical decision-making;

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Managerial Decision Making

This book, originally published in 1975, is an attempt to bridge the gap between economic theory and business practice by relating the;

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Managerial Decision Making

This book, originally published in 1975, is an attempt to bridge the gap between economic theory and business practice by relating the;

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Decision Modeling in Policy Management

relevant issues in decision making for policy management, such as linear and non-linear optimization, multiattribute utility theory, multicriteria;

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Geographical Information Systems Theory, Applications and Management

This book constitutes selected, revised and extended papers of the 6th International Conference on Geographical Information Systems Theory;

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Probabilistic Similarity Networks

In this blend of formal theory and practical application, Heckerman develops methods for building normative expert systems - expert systems;

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Reliability and Risk Modeling of Engineering Systems

effects analysis, fuzzy set theory, petri-net, multi-criteria decision-making (MCDM), and soft computing are used for solving problems;

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A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence

1 is a short introduction to the field of multiagent systems. Chapter 2 covers the basic theory of singleagent decision making under;

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Behavioral Decision Theory

This book is the second edition of Behavioral Decision Theory, published in 2014. The main approach and structure of this book have been;

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