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Discrete Fuzzy Measures: Computational Aspects

and practice of multicriteria decision making. Fuzzy measures, also known as capacities, allow one to combine degrees of preferences, support;

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Fundamentals of Computational Intelligence

covers the three fundamental topics that form the basis of computational intelligence: neural networks, fuzzy systems, and evolutionary;

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Computational Intelligence

Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing presents an introduction to some of the;

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Combinatorial and Computational Mathematics

Combinatorial and Computational Mathematics serves as an introduction to the current state of knowledge in various areas like Formal;

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

time series; discrete models and computational intelligence; formal concept analysis and uncertainty; fuzzy implication functions; fuzzy logic;

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Fuzzy Information Measures with Applications

FUZZY INFORMATION MEASURES WITH APPLICATIONS consists from chapters 1 to 8 deals with fuzzy sets theory including fuzzy sets and operations;

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Information Processing and Management of Uncertainty in Knowledge-Based Systems

; fuzzy methods in data mining and knowledge discovery; computational intelligence for logistics and transportation problems; fuzzy implication;

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Information Processing and Management of Uncertainty in Knowledge-Based Systems

; fuzzy methods in data mining and knowledge discovery; computational intelligence for logistics and transportation problems; fuzzy implication;

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Information Processing and Management of Uncertainty in Knowledge-Based Systems

; fuzzy methods in data mining and knowledge discovery; computational intelligence for logistics and transportation problems; fuzzy implication;

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Recent Advances in Applications of Computational and Fuzzy Mathematics

This book addresses the basics of intervalfuzzy set theory, artificial neural networks (ANN) and computational methods. It presents step;

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Recent Advances in Applications of Computational and Fuzzy Mathematics

This book addresses the basics of intervalfuzzy set theory, artificial neural networks (ANN) and computational methods. It presents step;

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Neuro-Fuzzy And Soft Computing

Intended for use in courses on computational intelligence at either the college senior or first-year graduate level. This text provides the;

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Handbook of Discrete and Computational Geometry

The Handbook of Discrete and Computational Geometry is intended as a reference book fully accessible to nonspecialists as well as;

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Advances in the Theory of Probabilistic and Fuzzy Data Scientific Methods with Applications

This book focuses on the advanced soft computational and probabilistic methods that the authors have published over the past few years. It;

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Advances in the Theory of Probabilistic and Fuzzy Data Scientific Methods with Applications

This book focuses on the advanced soft computational and probabilistic methods that the authors have published over the past few years. It;

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Fuzzy Probability and Statistics

This book combines material from our previous books FP (Fuzzy Probabilities: New Approach and Applications,Physica-Verlag, 2003) and FS;

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Computational Intelligence

revised and expanded with new content on swarm intelligence, deep learning, fuzzy data analysis, and discrete decision graphs. Features: provides;

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Fuzzy Set and Its Extension

Zadeh's extension principle. Then comes chapters looking at fuzzy operators; fuzzy similarity measures and measures of fuzziness; and fuzzy;

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Computational Mathematics

Computational mathematics emerged as a distinct part of applied mathematics. This book provides a comprehensive study of computational;

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Advances In Fuzzy Clustering And Its Applications

algorithmic and computational augmentations of fuzzy clustering and its effectiveness in handling high dimensional problems, distributed problem;

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Fuzzy Approaches for Soft Computing and Approximate Reasoning: Theories and Applications

This book gathers cutting-edge papers in the area of Computational Intelligence, presented by specialists, and covering all major trends;

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Extremal Fuzzy Dynamic Systems

considering time as a source of fuzzy uncertainty in dynamic systems. It begins with a thorough introduction, where the general research domain, the;

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Computational Intelligence

Computational intelligence aims to emulate aspects of biological systems for developing software and/or hardware that learns and adapts;

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Modeling Decisions for Artificial Intelligence

reviewed and selected from 61 submissions. The topics covered are aggregation operators, fuzzy measures and game theory; decision making;

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Mathematical Modeling Computational Intelligence Techniques and Renewable Energ

This book presents new knowledge and recent developments in all aspects of computational techniques, mathematical modeling, energy systems;

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Computational Complexity of Counting and Sampling

Computational Complexity of Counting and Sampling provides readers with comprehensive and detailed coverage of the subject of computational;

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Computational Complexity of Counting and Sampling

Computational Complexity of Counting and Sampling provides readers with comprehensive and detailed coverage of the subject of computational;

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