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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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Foundations and Applications of Decision Theory

1. INTRODUCTION In the Spring of 1975 we held an international workshop on the Foundations and Application of Decision Theory at the;

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Foundations Of Decision Theory Issues And Advances

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Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations

; aggregation operators, fuzzy metrics and applications; belief function theory and its applications; current techniques to model, process and describe;

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Transactions on Rough Sets XIII

reduction in decision-theoretic rough sets. Methodological advances introduce rough set-based and hybrid methodologies for learning theory;

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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 Theory

of consequences, and a correspondence between those sets, decision theory offers conceptually simple procedures for choice. This book presents an overview;

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Logic and the Foundations of Game and Decision Theory (LOFT 7)

This volume collects together revised papers originally presented at the 7th Conference on Logic and the Foundations of Game and Decision;

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Theory of Control in Organizations

The theory presented in the book deals with methodological and mathematical foundations of control in organisations. It extends the;

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An Introduction to Decision Theory

This introduction to decision theory offers comprehensive and accessible discussions of decision-making under ignorance and risk, the;

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Topics in Rough Set Theory

, including object-oriented rough set models, recommendation systems, decision tables, and granular computing, the book is a valuable resource for;

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Topics in Rough Set Theory

, including object-oriented rough set models, recommendation systems, decision tables, and granular computing, the book is a valuable resource for;

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Mathematical Foundations of Infinite-Dimensional Statistical Models

mathematical foundations and key decision-theoretic principles.;

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Quantum Models of Cognition and Decision

, 'contextuality', is a way to understand interference effects found with inferences and decisions under conditions of uncertainty. The second, 'quantum;

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Quantum Models of Cognition and Decision

, 'contextuality', is a way to understand interference effects found with inferences and decisions under conditions of uncertainty. The second, 'quantum;

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Advances in Decision Analysis

Decision analysis is a prescriptive theory that aids individuals or groups confronted with complex problems in a wide variety of contexts;

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Advances in Decision Analysis

Decision analysis is a prescriptive theory that aids individuals or groups confronted with complex problems in a wide variety of contexts;

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Cognitive Informatics, Computer Modelling, and Cognitive Science

, and information processing in the human brain are discussed, as is the theory of consciousness, neuroscience, intelligence, decision-making;

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Rethinking the Foundations of Statistics

This important collection of essays is a synthesis of foundational studies in Bayesian decision theory and statistics. An overarching topic;

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Foundations of Computational Intelligence Volume 2

-Shafer theory, multi-valued logic, probability, random sets, and rough set, near set and hybrid intelligent systems. Besides research articles;

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Cambridge Studies in Probability, Induction and Decision Theory

author examines both Bayesian decision theory and confirmation theory, refining and elaborating the views of Ramsey and Savage. He argues that;

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Cambridge Studies in Probability, Induction and Decision Theory

author examines both Bayesian decision theory and confirmation theory, refining and elaborating the views of Ramsey and Savage. He argues that;

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Weighing Goods

. Topics considered include the nature of teleological ethics, the foundations of decision theory, the value of equality and the moral significance;

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Supply Chain Network Economics

applies the theory to energy supply chains in the form of electric power generation and distribution networks. The relationships between electric;

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Foundations Of Decision-making Agents

, the symbolic argumentation approach to decision making developed in this book, combining logic and probability, offers several advantages;

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Theoretical Foundations of Travel Choice Modeling

interest and value. Divided into three parts, Microeconomic Theory, Behavioral Decision Theory and Statistical Theory, the book extends approaches;

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Lyapunov Exponents

This book offers a self-contained introduction to the theory of Lyapunov exponents and its applications, mainly in connection with;

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